The transition from Infosys, or any major IT services company, to a product company or Global Capability Center is one of the most common and most consequential career moves made by Indian technology professionals. It represents a shift in how work is structured, how technology is used, how performance is evaluated, and often how much the work pays. Hundreds of thousands of professionals have made this transition successfully, and many others have attempted it and returned to services, or never attempted it despite wanting to.
The gap between wanting to make the switch and actually making it successfully comes down to a specific set of skills, preparation activities, and strategic decisions. This guide maps that gap in detail. It covers why professionals consider leaving IT services, the skill gaps that must be bridged, how to build a resume that translates service company experience into product company language, which companies and GCCs actively hire from Infosys and similar firms, how to prepare for technical interviews at product companies and GCCs, how to leverage Infosys project experience effectively, the role of open source contributions and side projects, how LinkedIn and networking factor in, realistic timelines for making the switch at different experience levels, salary expectations after switching, common mistakes during the transition, and representative transition paths drawn from the actual patterns of professionals who have successfully made the move.
Table of Contents
- Why Professionals Consider Leaving IT Services
- Product Company vs GCC: Understanding the Distinction
- The Skill Gaps That Need to Be Bridged
- Data Structures and Algorithms: The Interview Gate
- System Design: The Senior-Level Gate
- Domain Expertise and Technical Depth
- Building a Resume That Works for Product Companies
- Which Companies and GCCs Hire From Infosys
- Preparing for Technical Interviews
- The Behavioral Interview and Cultural Fit
- Leveraging Infosys Project Experience Effectively
- Open Source Contributions and Side Projects
- LinkedIn and Networking Strategy
- Realistic Timelines by Experience Level
- Salary Expectations After Switching
- Common Mistakes During the Transition
- Representative Transition Paths
- Frequently Asked Questions
Why Professionals Consider Leaving IT Services
The decision to pursue a transition from Infosys to a product company or GCC is rarely made in isolation or suddenly. It typically builds over time as the gap between what the current role offers and what the professional actually wants becomes too wide to ignore. Understanding the specific motivations behind this decision helps clarify whether the transition is genuinely the right move or whether the issues can be addressed differently.
Compensation Gap:
The most frequently cited reason is the salary differential. IT services companies, including Infosys, increment salaries through a controlled annual mechanism that is constrained by company-wide averages and forced distribution. Product companies and GCCs, particularly those competing in high-demand domains like cloud engineering, data science, machine learning, and full-stack development, pay market rates that can be 30 to 100 percent or more above what an Infosys employee at the equivalent experience level earns.
For an Infosys Technology Analyst with five years of experience earning 10 LPA, a product company or GCC role in a comparable domain might offer 18 to 25 LPA. This differential, compounding over years, represents a very large lifetime earnings gap. The salary motivation is real and legitimate.
Nature of Work:
Many IT services professionals, after spending several years on client delivery, maintenance, or steady-state development, feel a growing disconnect between the type of work they are doing and the type of work they want to do. The desire to build products used by real consumers, to work on technically challenging systems at scale, to contribute to long-term platform development rather than project-specific delivery, or to work in an environment where technical decisions are made based on engineering merit rather than client preferences drives many professionals toward product companies.
GCCs also address some of these concerns: the work done within a GCC is often more product-development-oriented than the delivery work at a services company, because GCCs are the internal engineering arms of global companies rather than external service providers.
Career Ceiling Perception:
Some IT services professionals feel that the career ceiling in a services company is lower than in a product company, particularly on the technical track. While this perception is not universally accurate (there are highly accomplished technical careers built entirely within IT services), there is a real basis for it in specific contexts. The Principal Architect and Distinguished Engineer tracks at product companies often offer more intellectually demanding technical work and higher compensation ceilings than the equivalent tracks at IT services companies.
Learning Environment:
Product companies, particularly technology-native organizations, often provide richer technical learning environments than IT services delivery. The engineering culture at companies like Amazon, Google, Microsoft, and mid-size product companies tends to involve code reviews of higher rigor, more sophisticated technical discussions, exposure to systems at global scale, and peer learning from engineers who are among the best in the world. For technically ambitious professionals, this learning environment is a genuine pull factor.
Work Autonomy:
In an IT services company, the client defines what gets built, how it gets prioritized, and within what constraints. Engineers and project managers execute within that framework. In a product company, engineers have significantly more influence over technical decisions, architecture choices, and the direction of the product. The degree of intellectual ownership over the work is higher, which many professionals find more fulfilling.
Product Company vs GCC: Understanding the Distinction
Before planning a transition, it is important to understand the difference between a product company and a GCC, because the preparation paths, the interview styles, and the work experiences differ significantly.
Product Companies:
A product company builds and sells technology products or platforms as its primary business model. This includes companies like Google (search, advertising, cloud), Amazon (e-commerce, AWS), Microsoft (operating systems, Office, Azure), Flipkart, Paytm, Zomato, Razorpay, and thousands of smaller software companies. Product companies own the full lifecycle of their products: conception, design, engineering, launch, scaling, and evolution.
Working at a product company means your work directly contributes to a product that real users interact with. The scale of technical problems can be extraordinary at large companies. The pace of technical innovation is high. The engineering culture is typically the most demanding in terms of technical rigor, and the interview bar is the highest in the industry.
Product company roles in India range from individual contributor engineering roles at large MNC product companies (Amazon, Microsoft, Google, Oracle, SAP) to engineering roles at Indian unicorns and well-funded startups (Razorpay, CRED, Meesho, Zepto) to roles at mid-size product companies with significant India operations (ThoughtWorks, Atlassian, Twilio).
Global Capability Centers (GCCs):
A GCC is the internal engineering or operations center of a global company that is not primarily a technology company but that maintains significant technology infrastructure. Examples include: the engineering centers of major banks (JP Morgan, Goldman Sachs, Deutsche Bank), insurance companies (AXA, Prudential), manufacturing companies (Boeing, Honeywell), consumer companies (Nike, P&G), and retail companies (Walmart, Target).
GCCs differ from product companies in that the “product” is internal technology for a global business rather than a consumer-facing or B2B software product. The work involves building and maintaining the digital infrastructure, data systems, and technology platforms that run the global operations of the parent company.
GCCs tend to have less demanding technical interview bars than tier-1 product companies, which makes them more accessible to IT services professionals making their first transition. They also tend to offer better work-life balance than high-growth startups while providing compensation materially above IT services levels.
Which to Target:
The right target depends on the individual’s technical level, risk appetite, career goals, and the specific domains they have developed expertise in.
Tier-1 product companies (FAANG equivalent) are the most prestigious and highest-paying but require the most preparation and have the lowest acceptance rates. The interview process is rigorous and specifically evaluates DSA, system design, and behavioral competencies at a level that most IT services professionals need 6 to 18 months of preparation to reach.
Tier-2 product companies (established non-FAANG product companies) offer strong compensation, good engineering culture, and somewhat more accessible interviews. For IT services professionals with relevant domain skills, these are often the best initial target.
GCCs offer the most accessible transition from IT services and provide a genuine improvement in work quality and compensation. For professionals who are not yet prepared for product company interview rigor but who want to leave IT services, a GCC transition followed by a product company move is a very effective career path.
The Skill Gaps That Need to Be Bridged
The gap between an IT services background and a product company or GCC role is real but bridgeable with deliberate effort. Understanding the specific gaps is the prerequisite for planning the preparation.
The Core Gap: Depth vs Breadth:
IT services work, including the work done at Infosys, tends to develop breadth: exposure to multiple clients, multiple industries, multiple technology stacks, and multiple project types across a career. What it often does not develop systematically is depth: truly deep expertise in a specific technology domain, the ability to solve algorithmically hard problems, or experience designing systems that serve millions of users at scale.
Product companies and GCCs value depth over breadth. The specific depth they value depends on the role: a backend engineering role at a product company values deep software engineering knowledge, DSA proficiency, and system design capability. A data engineering role values deep knowledge of distributed data systems, query optimization, and data pipeline architecture. A cloud engineering role values deep platform expertise and infrastructure design capability.
The gap to bridge is from the broad, client-delivery-oriented profile that IT services builds to the deep, domain-specific, technically rigorous profile that product companies and GCCs seek.
The DSA Gap:
The most immediate practical gap for most IT services professionals is in Data Structures and Algorithms. Product company technical interviews systematically evaluate DSA through coding challenges, and the difficulty level of these challenges is calibrated to filter for candidates with genuine algorithmic problem-solving ability.
Most Infosys project work does not require or develop this ability. Writing SQL queries, building Spring Boot REST APIs, configuring cloud resources, or managing test cases does not exercise the algorithmic thinking that product company coding rounds assess. The DSA gap must be addressed explicitly through dedicated preparation.
The System Design Gap:
For mid-level and senior engineers (with four or more years of experience), system design is a critical component of product company and GCC interviews. System design questions ask the candidate to design the architecture of a scalable system: “Design a URL shortener that can handle 10 billion URLs,” “Design a distributed messaging system like WhatsApp,” or “Design a ride-hailing platform’s backend.”
These questions assess architectural thinking, knowledge of distributed systems concepts, and the ability to make and justify design trade-offs. IT services work can develop this capability if the engineer has worked on architecturally significant projects with genuine design responsibility. But many Infosys engineers work within architectures designed by architects or client teams and have limited experience making architectural decisions themselves. This gap requires deliberate study and practice.
The Depth Gap:
Beyond DSA and system design, product companies also expect deeper knowledge of the specific technologies they use than is typically developed in IT services delivery. An Infosys engineer who has “used AWS” in a project context may know enough to set up an EC2 instance and configure an S3 bucket, but not enough to design a cost-optimized, highly available multi-region architecture, understand the trade-offs between different database offerings, or troubleshoot complex distributed systems failures. Product companies expect the latter.
Building domain depth requires time and deliberate learning through documentation, hands-on projects, and ideally direct application in real systems.
Data Structures and Algorithms: The Interview Gate
DSA preparation is the most universally required preparation for any product company or GCC technical interview. Regardless of the specific role being applied to, virtually all product company and many GCC technical interviews include at least one DSA coding round.
What DSA Interviews Test:
Product company DSA interviews are not testing whether the candidate has memorized algorithm implementations. They are evaluating several interrelated capabilities:
Problem decomposition: can the candidate break an unfamiliar problem into manageable components and identify what algorithmic approach applies?
Algorithm selection: does the candidate know which data structures and algorithms are appropriate for different types of problems and why?
Implementation under pressure: can the candidate write correct, compilable code in an interview setting, working through the problem while communicating their thinking?
Complexity analysis: can the candidate analyze the time and space complexity of their solution and reason about whether it is efficient enough for the given constraints?
Edge case handling: does the candidate consider and handle edge cases without being prompted, demonstrating the thoroughness expected in production code?
The LeetCode Ecosystem:
LeetCode has become the de facto standard preparation platform for product company DSA interviews. The platform hosts thousands of categorized problems organized by difficulty (Easy, Medium, Hard) and by topic, with solutions, discussion threads, and company-tagged problems that show which questions specific companies have asked in recent interview rounds.
For an Infosys professional preparing to switch to a product company, LeetCode is the primary preparation tool. A structured LeetCode preparation plan, covering the core topics at the right difficulty levels, is the backbone of DSA interview readiness.
The Minimum Viable DSA Preparation:
For a GCC or tier-2 product company target, the minimum viable DSA preparation involves mastering these core topics to the point where Easy and Medium problems can be solved consistently within 15 to 20 minutes:
Arrays and strings: two-pointer technique, sliding window, prefix sums, string manipulation patterns.
Linked lists: reversal, cycle detection, merging, and the runner pointer technique.
Binary search: standard and on-the-answer variants.
Trees and graphs: DFS and BFS traversals, binary search trees, and basic graph algorithms.
Dynamic programming: 1D and 2D DP patterns, memoization, and the most common problem types (knapsack, LCS, LIS).
Stacks and queues: monotonic stack, queue-based sliding window problems.
Hashing: frequency counting, grouping, and cache-style lookups.
For tier-1 product companies, the bar is higher: Hard LeetCode problems must be approachable, system design must be thoroughly prepared, and the coding must be done fluently enough that thinking is shared verbally while typing.
A Realistic DSA Preparation Plan:
The following plan is calibrated for an Infosys professional with a standard software engineering background targeting tier-2 product companies or GCCs. Adjustments are needed for tier-1 targets (add 3 to 6 months and increase the hard problem percentage).
Month 1 to 2: Foundation building. Solve 5 Easy LeetCode problems per day in a specific topic area. Cover all core topics in sequence: arrays, strings, linked lists, stacks, queues, trees, basic graphs, binary search, and basic hash table problems. The goal is fluency with Easy problems, meaning you can solve them in 10 minutes or less without hints.
Month 3 to 4: Medium problem proficiency. Shift to 3 Medium problems per day, topic by topic. For each problem attempted, spend no more than 30 minutes before reading the solution if stuck. Understand the solution fully before moving on. Review all previously attempted problems at the end of each week to consolidate retention.
Month 5 to 6: Interview simulation. Begin timed mock interview sessions: one problem per 45-minute session, simulating the actual interview format. Include verbal explanation of your approach as you code, because being able to communicate while solving is a separate skill from being able to solve. Review performance on each mock interview specifically for communication quality, not just solution correctness.
Maintain a problem log throughout, recording the topic, difficulty, time taken, and any key insights from each problem. This log is used for targeted review in the weeks before active interview scheduling.
Problem Category Prioritization for IT Services Backgrounds:
Certain LeetCode problem categories appear with higher frequency in product company and GCC interviews and should receive proportionally more preparation time:
Arrays and hashing problems are the most universally tested category and the easiest to develop proficiency in. At least 40 to 50 problems in this category, including two-pointer, sliding window, prefix sum, and hash map applications, should be solved before any other category.
Tree and graph problems appear in virtually every full interview loop. BFS and DFS traversal, binary search tree operations, and basic graph connectivity are non-negotiable. At least 30 to 40 problems in these categories.
Dynamic programming appears in approximately half of interview loops and is the category with the steepest learning curve. Investing 60 to 80 problems in DP, starting with 1D patterns and progressing to 2D and more complex state spaces, provides a solid foundation.
String manipulation problems appear frequently in screening rounds and are good warm-up practice. 20 to 30 problems covering standard string operations, palindromes, and pattern matching provide adequate coverage.
The Role of Consistency Over Volume:
Many candidates approach LeetCode preparation by solving a large number of problems in short bursts followed by extended periods of no practice. This approach is far less effective than consistent daily practice, even at a lower volume.
The reason is neurological: skill development in algorithmic problem-solving follows the same learning science as skill development in music, sports, or language. Distributed practice, where the skill is engaged repeatedly over many separate sessions, produces stronger retention and more transferable problem-solving ability than massed practice (solving many problems in a concentrated burst). One problem solved daily for 300 days produces better interview performance than 300 problems solved in 10 days.
Building the daily LeetCode habit, even if some days produce only 20 to 30 minutes of practice, is the most reliable preparation strategy for professionals preparing alongside a full-time job at Infosys.
System Design: The Senior-Level Gate
For professionals with four or more years of experience, system design is as important as DSA in product company and GCC interviews. Many senior engineers from IT services backgrounds find system design to be their biggest gap, because project delivery at Infosys often involves executing within a defined architecture rather than designing architectures from scratch.
What System Design Interviews Assess:
A system design interview at a product company typically asks the candidate to design a large-scale distributed system in 45 to 60 minutes. The assessment is not looking for a single correct answer (there is none); it is evaluating the candidate’s ability to:
Clarify ambiguous requirements and define the scope of the design before diving into details.
Estimate system scale (traffic volume, storage requirements, data throughput) to inform architectural decisions.
Propose a high-level architecture that addresses the core requirements.
Identify and discuss the trade-offs between different design choices (SQL vs NoSQL, synchronous vs asynchronous communication, strong consistency vs eventual consistency).
Deep-dive into specific components when probed by the interviewer.
Identify bottlenecks and propose scaling strategies.
Core Concepts for System Design:
Building system design capability requires understanding a set of foundational distributed systems concepts:
Horizontal scaling and load balancing: how to distribute load across multiple servers, the role of load balancers, session management in horizontally scaled systems.
Caching: Redis and Memcached use cases, cache invalidation strategies, CDN for static content, and the cache-aside, write-through, and write-behind patterns.
Database design: SQL vs NoSQL trade-offs, database sharding strategies, read replicas, database indexing, and denormalization trade-offs.
Message queues and event streaming: Kafka, RabbitMQ, and the role of asynchronous communication in decoupling services and handling traffic spikes.
Microservices architecture: service decomposition, inter-service communication (REST vs gRPC), service discovery, and API gateway patterns.
Consistency and availability: the CAP theorem and its practical implications, eventual consistency patterns, distributed transactions and the challenges they present.
Distributed storage: object storage systems, file systems, and the trade-offs between different storage options.
Rate limiting and throttling: token bucket and leaky bucket algorithms, applying rate limiting at different layers of the system.
The System Design Learning Path:
System design is best learned through structured reading combined with practice designing specific systems. The most effective resources include books and courses that cover both the theoretical concepts and the practical application to specific design problems.
Designing Data-Intensive Applications by Martin Kleppmann is the most widely recommended book for building the conceptual foundation for system design. It covers databases, distributed systems, stream processing, and batch processing with depth and clarity.
High-level system design courses that walk through the design of specific systems (URL shorteners, Twitter-scale feeds, Uber-scale ride-matching systems) are valuable for building the specific vocabulary and pattern knowledge needed for interviews.
The most important practice is doing mock system design interviews: have someone play the role of interviewer and ask you to design a system in real time. The pressure of real-time design, with another person asking probing questions, develops the skill in a way that reading and solo planning cannot.
System Design Practice Problems:
The following systems are the most commonly used in product company system design interviews and should be practiced until the design process feels natural and the key component decisions are well-reasoned:
URL shortener: covers hashing, database design, caching, and load balancing at a manageable scope. This is the “hello world” of system design and a useful starting point.
Social media feed (Twitter-style): covers data modeling for social relationships, feed generation (push vs pull vs hybrid), caching of popular content, and handling the celebrity user problem.
Ride-hailing backend (Uber-style): covers real-time location tracking, matching algorithms, geospatial indexing, and surge pricing logic.
Distributed message queue (Kafka-style): covers producer-consumer patterns, offset management, partition strategies, and durability guarantees.
Distributed key-value store: covers consistent hashing, replication, read/write quorums, and the CAP theorem in practice.
E-commerce checkout system: covers inventory management under concurrent writes, idempotent payment processing, and transaction rollback.
Practicing each of these systems twice (once from a broad architecture perspective and once drilling into specific components with interviewer follow-up questions) provides the depth and variety needed for most senior-level system design interviews.
System Design for Mid-Level Candidates:
For candidates with three to five years of experience, the system design expectation in most GCC and tier-2 product company interviews is more modest than the full distributed systems designs above. At this level, the common system design questions involve:
Designing the database schema and API structure for a specific application.
Explaining the trade-offs between different database choices (SQL vs NoSQL) for a given use case.
Describing how to add caching to an existing system and what the cache invalidation strategy would be.
Discussing how to design for horizontal scaling of a specific application component.
Preparing for these more focused questions requires understanding the core concepts rather than memorizing complex distributed systems patterns. Candidates who can explain clearly why a cache helps in a specific scenario, or why a NoSQL database is appropriate for a specific data access pattern, will handle mid-level system design rounds effectively.
Domain Expertise and Technical Depth
Beyond DSA and system design, successful transitions require genuine depth in the specific technical domain the target role works in. This domain expertise separates candidates who pass the screening rounds from those who are genuinely compelling at the offer stage.
Identifying Your Depth Area:
The most effective transition is built on genuine domain depth that already exists from Infosys project work, rather than on a completely new skill area built from scratch. Professionals who have worked on cloud infrastructure projects have a natural path to cloud engineering roles at GCCs and product companies. Professionals who have worked on data pipelines have a natural path to data engineering roles. Professionals who have built Java Spring Boot APIs have a path to backend engineering roles.
The honest audit question is: “What specific technology area have I used deeply enough in actual project work that I can discuss it with the depth of someone who has built real systems with it?” The answer to this question points toward the role types where the transition will be most credible and most achievable.
Deepening What You Already Know:
Building deeper expertise in an area you already work in is more efficient than building expertise from scratch in a new area. An Infosys developer who has been working with AWS for 18 months but at a surface level can go significantly deeper in the next 6 months by: studying for and obtaining the AWS Solutions Architect Associate certification, building a meaningful personal cloud project that uses services beyond the basics, and reading AWS’s own architectural documentation and well-architected framework materials.
This deepening effort takes the existing AWS familiarity and converts it into genuine depth that is demonstrable in interviews and on a resume.
Building New Domain Expertise:
For professionals who genuinely want to move into a domain different from their current project work, building depth takes longer but is entirely achievable. The key is to not spread preparation across multiple domains simultaneously. Depth in one domain is far more valuable in job applications and interviews than superficial familiarity with several domains.
Choose one target domain (cloud architecture, data engineering, backend development, DevOps, machine learning engineering, or another specific area), invest deeply in it for 6 to 12 months, and build the portfolio evidence to demonstrate that depth.
The Depth-to-Job-Application Mapping:
Different types of depth open different types of roles. Understanding this mapping helps target the preparation investment correctly:
Java and distributed systems depth opens backend engineering roles at product companies and Java-heavy GCCs (particularly banking and financial services).
Cloud architecture and DevOps depth opens cloud engineering, platform engineering, and SRE (Site Reliability Engineering) roles across GCCs and product companies.
Data engineering depth (Spark, Kafka, Airflow, data warehousing) opens data engineering and data platform roles, which are among the fastest-growing role categories at GCCs and product companies.
Machine learning engineering depth (building and deploying ML models, not just training them) opens MLOps and applied AI engineering roles, which are among the highest-paying in the market.
Full-stack development depth (React or similar frontend with Node.js or Python backend) opens product engineering roles at startups and mid-size product companies where team members are expected to work across the stack.
Quality engineering and automation depth (Selenium, Cypress, automated test frameworks, performance testing) opens QE and SDET (Software Development Engineer in Test) roles, which are available at virtually every product company and GCC.
The practical recommendation is to identify which of these depth areas most closely aligns with the current Infosys project experience, invest in deepening it rather than pivoting to a different area, and then target roles that specifically value that depth in the job application process.
Building a Resume That Works for Product Companies
The resume that is appropriate for an Infosys internal career discussion or an IT services lateral hire is not the same document that works for a product company or GCC application. The conventions, the vocabulary, and the emphasis differ in important ways.
Format and Length:
Product company resumes in India are typically one to two pages. Two pages is standard for professionals with 5 or more years of experience. More than two pages is almost never appropriate and signals a lack of ability to prioritize and communicate concisely, which is itself a negative signal.
The format should be clean and simple: a reverse-chronological work history with clear company names, dates, designations, and bullet-point accomplishments. Avoid elaborate formatting, graphics, tables, or colorful design elements that make the resume harder to scan quickly. ATS (Applicant Tracking System) parsing also typically strips formatting, so content quality matters more than visual design.
Translating IT Services Experience into Product Company Language:
The vocabulary of IT services resumes and product company resumes is different. Understanding the translation is one of the most practically important aspects of this guide.
IT services language is often project-centric and client-centric: “worked on a banking client’s loan origination system,” “delivered the phase 2 module of the financial reporting project.” This language is appropriate in an IT services context but does not communicate effectively to product company hiring managers who are looking for engineering impact.
Product company language is outcome-centric and impact-centric: “built a REST API that processes 50,000 transactions per day with 99.9% uptime,” “reduced batch processing time by 60% through query optimization and indexing,” “designed and implemented the data ingestion pipeline that feeds the analytics dashboard used by 200 business analysts.”
The translation from IT services language to product company language requires extracting the technical substance from the project context and expressing it in terms of: what you built, what technology you used to build it, what the outcome was (ideally in measurable terms), and what the scale or business impact was.
Quantifying Accomplishments:
Numbers make accomplishments concrete and credible. Every bullet point on a product company resume should try to include at least one of: the scale of the system (number of users, transactions per day, data volume), the improvement achieved (percentage reduction in latency, percentage improvement in test coverage, number of bugs prevented), or the business impact (time saved, cost reduced, user experience improved).
Not all IT services work produces easily quantifiable outcomes, but more of it is quantifiable than most professionals initially think. If the Infosys project involved maintaining an application for a bank with 5 million customers, that is a quantifiable scale indicator. If an optimization reduced a database query from 30 seconds to 2 seconds, that is a 93 percent improvement worth stating.
What to Include and What to Exclude:
Include: technical accomplishments with measurable outcomes, specific technologies used (not vague “worked with cloud” but specific services and frameworks), any leadership or ownership experiences (led a team of three, designed the architecture for a module), any certifications relevant to the target role, any notable contributions like open source work or personal projects, and any educational accomplishments that stand out.
Exclude: overly detailed project descriptions that consume space without adding value, client names in contexts where NDA obligations apply, soft skill claims without evidence (“excellent communicator,” “team player”), and designations and responsibilities that describe the role description rather than what was actually accomplished.
The Summary Section:
A two to three sentence professional summary at the top of the resume is useful for product company applications because it immediately frames what the candidate is: “Backend engineer with 6 years of experience building enterprise Java applications, transitioning to product company roles. Proficient in Spring Boot, REST APIs, AWS services, and SQL optimization. Solved 400+ LeetCode problems and currently preparing for system design interviews.”
This summary immediately tells the hiring manager who the candidate is, what they are looking for, and that they are actively preparing for the transition, which is a positive signal.
The LinkedIn and Resume Alignment:
Product company recruiters view LinkedIn profiles as extensions of the resume, often before they see the formal resume. Ensuring that the LinkedIn profile is up to date, reflects the same accomplishments and skills as the resume, has a professional photograph, and includes a well-written summary paragraph is standard preparation for job applications.
Resume Mistakes Specific to IT Services Backgrounds:
Several resume mistakes are particularly common among IT services professionals applying to product companies:
Listing designation titles without context: “Senior Systems Engineer at Infosys for 2 years” says nothing meaningful to a product company hiring manager who is unfamiliar with IT services designation structures. Adding context (“led development of a transactional processing module for a Tier-1 bank’s digital banking platform”) converts an opaque designation into comprehensible accomplishment context.
Listing technologies without proficiency context: “Worked with Java, Python, AWS, SQL, Spring Boot, Microservices, Kafka” is a technology laundry list that does not communicate depth. Being more specific about what was actually built and at what scale (“Built a Java Spring Boot REST API handling 20,000 daily transactions for a bank’s loan origination system”) is more compelling and more honest.
Project descriptions that describe the project rather than the contribution: “Worked on the ABC Bank digital transformation project, which involved migrating the legacy loan management system to a microservices architecture” describes the project, not what the candidate did. “Designed and implemented the document verification microservice for the loan origination platform, reducing document processing time from 4 hours to 20 minutes through asynchronous processing” describes the contribution.
Using IT services acronyms that mean nothing outside the industry: phrases like “DU allocation,” “RMG placement,” “billable headcount,” or “delivery unit” are IT services jargon that should be translated into plain language or omitted from product company resumes.
The GitHub Profile as a Resume Supplement:
For technical roles, the GitHub profile is reviewed alongside the resume. A GitHub profile that shows active commits, meaningful project repositories, and in some cases open source contributions creates a positive first impression that a resume alone cannot fully convey.
The minimum recommended GitHub profile for a product company application includes: at least one personal project repository with a clear README and regular commits showing the project’s development over time, organized code that is readable and follows the conventions of the language, and a commit history that demonstrates consistent engagement rather than a single large dump of files. Clean code, meaningful commit messages (“Add retry logic for failed API calls” rather than “updates”), and project documentation all contribute to the impression the profile creates.
Which Companies and GCCs Hire From Infosys
Understanding which organizations actively and successfully hire IT services professionals reduces the time spent on applications that are unlikely to convert.
Tier-1 Product Companies:
Google, Amazon, Microsoft, Apple, and Meta (and their equivalent Indian divisions and GCCs) hire from IT services backgrounds, but the bar is high and the preparation required is substantial. These companies’ interview processes are among the most rigorous in the industry: multiple DSA coding rounds, one or more system design rounds (for senior candidates), and behavioral rounds. The time to prepare for tier-1 interviews from an IT services baseline is typically 12 to 18 months of consistent preparation.
The most common path from Infosys to tier-1 is through an intermediate move: Infosys to a tier-2 product company or GCC, followed by a move to tier-1 after building 2 to 3 years of product company experience. This intermediate step is not a failure; it is a staged approach that produces better outcomes than attempting tier-1 before the preparation level genuinely supports it.
Tier-2 Product Companies:
This category includes established product companies like Oracle, SAP, Salesforce, Adobe, Cisco, Intel, Qualcomm, and their Indian development centers; Indian unicorns and growth-stage companies like Razorpay, CRED, Zepto, Swiggy, Meesho, BrowserStack, and Postman; and international mid-size software companies with India operations like Atlassian, Freshworks, Zoho, and Zendesk.
These companies offer competitive compensation, strong engineering culture, and interview processes that are demanding but more achievable for IT services professionals with focused preparation. The DSA bar is solid Medium level on LeetCode for most of these companies, and system design is assessed but at a level appropriate for the candidate’s experience level.
GCCs:
GCCs are the most accessible transition point from IT services. The full spectrum of industry verticals has GCC presence in India: banking (HSBC, Citi, Deutsche Bank, Barclays, JP Morgan, Goldman Sachs), insurance (AXA, Prudential, Zurich), technology (Amazon, Google, Microsoft, but now their GCC divisions rather than core product roles), manufacturing (Honeywell, Boeing, Caterpillar), retail (Walmart, Target, H&M), consulting (BCG, McKinsey, but their technology centers).
GCC roles typically offer compensation in the 15 to 30 LPA range for mid-level professionals transitioning from IT services, which is a material improvement over the typical IT services salary at the equivalent experience level. The interview processes at GCCs are generally less demanding than tier-1 product companies: one or two technical rounds covering relevant domain knowledge, sometimes a coding challenge, and HR discussions.
Startups:
Well-funded startups at Series B and beyond hire from IT services backgrounds, particularly for domain-specific roles. A startup building a fintech product will value an Infosys professional who has worked on banking technology. A startup building a supply chain platform will value someone who has worked on logistics technology at Infosys. The domain alignment is often more important than raw DSA performance for startup hiring.
Startups offer equity (ESOPs) alongside salary, which can be a meaningful component of total compensation if the company grows. The risk is higher than at established companies, but the learning rate is typically faster and the ownership over technical decisions is greater.
Preparing for Technical Interviews
Technical interview preparation is the most time-intensive component of the transition, and doing it systematically rather than randomly is essential for making the preparation count.
The Interview Process at Most Product Companies:
A typical product company interview process includes: an initial screening (online assessment or recruiter call), one or more technical phone screens (DSA problems on a shared coding environment), an onsite or virtual onsite interview loop (multiple rounds covering DSA, system design, and behavioral), and a final offer discussion.
The entire process from application to offer can take two to eight weeks. Preparing for multiple interviews simultaneously, rather than preparing for each company sequentially, maximizes the return on preparation investment.
Coding Interview Simulation:
The most effective preparation for coding interviews is practice that mimics the actual interview conditions: timed, with verbal explanation, on a plain text editor or virtual whiteboard without IDE autocomplete, and with another person playing the interviewer role.
Platforms like Pramp (peer-to-peer mock interviews) and Interviewing.io (practice with engineers from top companies) provide structured mock interview environments. Using these for at least 10 to 15 mock sessions before active interview scheduling significantly reduces interview anxiety and builds the communication habit that distinguishes strong interview performance from merely correct code.
The Think-Aloud Habit:
Product company interviewers evaluate not just whether the candidate produces correct code but how they think. A candidate who codes silently and produces a correct solution is less impressive to an interviewer than one who articulates their thought process: “I am thinking about using a hash map here to track the frequency of each character… the naive approach would be O(N²) but with the hash map I can bring this to O(N)… let me think about edge cases first: what if the string is empty…”
Developing the think-aloud habit requires deliberate practice. Most people naturally code silently; translating the internal monologue into external speech while also coding is a skill that must be specifically practiced, not assumed to come naturally.
Domain Technical Rounds:
Beyond the standard DSA coding round, many product companies and GCCs include technical rounds specific to the domain of the role being interviewed for. A backend engineering round might include questions about REST API design principles, database normalization, caching strategies, and concurrency. A data engineering round might include questions about data modeling, pipeline design, and query optimization.
Preparing for these domain-specific rounds requires studying the technical depth area identified in the skills section, building personal projects that demonstrate this depth, and reviewing the interview guides and question lists that are widely available for specific company and role combinations.
The Company Research Requirement:
Generic preparation is necessary but insufficient. Each company has specific technical practices, preferred technology stacks, and interview patterns that reward company-specific research. Reading engineering blogs published by the target company, reviewing the system design discussions in the company’s public technical posts, and understanding what kinds of technical challenges the company is working on allows for more targeted and compelling interview conversations.
For Infosys professionals targeting a specific company, reading that company’s engineering blog before the interview demonstrates genuine interest and provides material for the “why do you want to work here?” question that appears in every HR round.
The Behavioral Interview and Cultural Fit
Behavioral interviews are a consistent and often under-prepared component of product company and GCC interviews. The STAR (Situation, Task, Action, Result) format for answering behavioral questions is well-documented, but the quality of the stories used in these answers varies enormously.
What Behavioral Interviews Assess:
Behavioral interviews evaluate the candidate’s past behavior as a predictor of future performance. Specifically, they probe: how the candidate handles challenging technical problems, how they communicate and collaborate with colleagues and stakeholders, how they respond to failure and setbacks, how they make decisions under ambiguity, and how they have demonstrated the specific competencies the company values (leadership, ownership, customer focus, innovation, etc.).
The STAR Story Library:
Every candidate should enter interviews with five to eight well-prepared STAR stories drawn from actual professional experiences. These stories should cover the most commonly asked behavioral themes: a time you resolved a technical problem under pressure, a time you had a conflict with a colleague and how you resolved it, a time you failed and what you learned from it, a time you took ownership beyond your defined role, and a time you had to make a difficult decision with limited information.
For Infosys professionals, the challenge is identifying which experiences from an IT services background map onto the behavioral themes that product companies care about. The instinct is often to think “I don’t have relevant stories because my work was just execution.” This is rarely accurate. Debugging a production incident at 2 AM that affected a banking client is a high-pressure technical problem story. Identifying and raising a data quality issue before it became a client escalation is an ownership beyond defined role story. Managing the knowledge transfer of a complex module to a colleague during a handover under a tight timeline is a communication and collaboration story.
The skill is in mining these experiences for their behavioral content and presenting them in a way that is clear, specific, and compelling.
Amazon Leadership Principles:
Amazon’s behavioral interviews are specifically structured around the Amazon Leadership Principles (Ownership, Customer Obsession, Bias for Action, Think Big, Invent and Simplify, and others). If Amazon or any Amazon GCC is in the target list, preparing specific STAR stories for each of the leadership principles is essential. Amazon interviewers probe these principles explicitly, and candidates who have not prepared stories aligned to the principles are at a significant disadvantage.
Cultural Fit:
Product companies care about cultural fit to a degree that IT services companies, which operate primarily in a client-service mode, typically do not. A product company culture often has specific values around moving fast, challenging assumptions, being candid in communication, taking risks, and owning outcomes. Demonstrating genuine alignment with these values, not just paying lip service to them, is part of what successful candidates do in behavioral rounds.
Reading the target company’s public communications about its culture, understanding what specific values it emphasizes, and reflecting on whether those values genuinely align with how you work and what you prioritize is both useful preparation and an important personal fit assessment.
Leveraging Infosys Project Experience Effectively
One of the most underutilized advantages that IT services professionals have in product company interviews is the richness of their project experience. Working on large-scale, business-critical systems at major enterprises develops skills and perspectives that candidates coming from smaller environments or from academic backgrounds do not have.
Scale and Reliability Experience:
Many Infosys projects operate on systems that serve millions of transactions or thousands of concurrent users. This is real scale experience. In system design interviews, the ability to speak from experience about what production systems at scale actually require (monitoring and alerting, graceful degradation, data consistency across distributed components) is more compelling than theoretical knowledge from a textbook.
When discussing system design, proactively reference actual experiences: “In the banking application I worked on at Infosys, we handled about 200,000 transactions per day. We solved the read scalability problem by adding read replicas, which reduced the load on the primary database by about 60%. That experience makes me think the read replica approach here would be more appropriate than a caching layer, because…”
Client Communication Experience:
IT services professionals have significantly more client communication and stakeholder management experience than many product company candidates who have worked only in internal teams. In senior-level behavioral interviews, experiences that demonstrate client communication, escalation management, and building trust across organizational boundaries are often more compelling evidence of leadership capability than examples from pure internal projects.
Multi-Technology Breadth:
The breadth of technology exposure from IT services, while not as deep as product company specialists, is genuinely useful in discussions about integration, system boundaries, and cross-technology architecture. An Infosys professional who has worked across Java, SQL, AWS, and REST APIs has practical knowledge of how these technologies interact that is valuable in system design discussions.
The Honest Framing of Services Experience:
The key to leveraging services experience effectively is honest, confident framing rather than either apologizing for the background or overclaiming ownership that was not genuine. “I worked on a team that maintained the payments infrastructure for a Tier-1 bank’s digital banking application. My specific ownership was the transaction processing module, where I designed and implemented the retry logic for failed transactions and built the monitoring alerts that reduced incident detection time from 2 hours to 15 minutes” is far more compelling than either “I worked at Infosys on banking software” or a vague claim of ownership over systems you only partially contributed to.
Open Source Contributions and Side Projects
Open source contributions and personal side projects are a meaningful differentiator in product company and GCC job applications for IT services professionals, because they provide evidence of technical engagement beyond what the day job required.
Why They Matter:
IT services work, by its nature, involves proprietary client systems that cannot be shared publicly. This means an IT services professional’s GitHub profile is often empty or sparse compared to what product company engineers accumulate. Product company hiring managers, particularly technical ones, sometimes look at GitHub profiles before or alongside resumes. An active, well-maintained profile with meaningful contributions signals genuine technical engagement.
Open source contributions also demonstrate the kind of self-directed learning and initiative that product companies value. Contributing to an open source project requires understanding a codebase written by others, identifying a meaningful contribution, following coding standards and review processes, and navigating the collaborative engineering culture of an open source community. These are all skills that translate directly to product company engineering work.
Realistic Contribution Levels:
Not every Infosys professional has the time or inclination to become a major open source contributor. The good news is that the bar for meaningful contribution is lower than most professionals assume.
Starting with documentation improvements (fixing typos in documentation, improving unclear explanations, adding examples) for a project in the candidate’s primary technology area is a legitimate and recognized form of contribution. Fixing a small bug with a clear reproduction path is another accessible starting point. These contributions may seem minor, but they establish a GitHub contribution history and familiarize the contributor with the mechanics of open source collaboration.
More significant contributions, such as implementing a new feature, improving performance of a component, or writing test coverage for untested code, are more impactful but require more time investment. Even one or two meaningful contributions to a well-known project in the relevant technology domain is a differentiator.
Personal Side Projects:
A personal project that demonstrates domain depth is often more compelling to hiring managers than open source contributions, because it shows what the candidate chooses to build when given full creative freedom. The project should be:
Deployed and accessible: a project that is live and publicly accessible (on a cloud platform, as a web application, as a published library) is more compelling than a repository with code that requires local setup to evaluate.
Non-trivial: the project should solve a real problem and involve enough technical complexity to demonstrate meaningful skill. A CRUD to-do application in a new framework is less compelling than a performance monitoring tool that aggregates application metrics and displays them in a real-time dashboard.
Documented: a clear README that explains what the project does, how it was built, what technical decisions were made and why, and how to use it is as important as the code itself.
Relevant: the project should be in the technology domain of the target roles. A cloud architecture project is more relevant for cloud engineering applications than a machine learning side project.
LinkedIn and Networking Strategy
LinkedIn is the primary professional networking platform in India’s technology industry and is a significant factor in the transition from IT services to product companies and GCCs.
The LinkedIn Profile for Transition Purposes:
A LinkedIn profile optimized for the transition should clearly signal who the candidate is and what they are targeting. The “About” section should mention the transition explicitly: “Backend engineer with 5 years of enterprise Java experience at Infosys, currently preparing for product company roles. Actively building DSA and system design skills. Open to backend engineering and full-stack opportunities.”
This explicit statement serves two purposes: it signals to recruiters that the candidate is actively looking, and it sets appropriate expectations so that only relevant opportunities are pursued.
The Connection Strategy:
LinkedIn connections matter for two reasons: they enable direct messaging to individuals at target companies, and they make the candidate visible to recruiters at those companies through LinkedIn’s algorithm.
The most valuable connections for a transition are: people who have made the same transition (Infosys or similar IT services to product company or GCC), people who currently work at the target companies, and technical recruiters at the target companies.
Reaching out to people who have made the same transition is the most underutilized networking strategy. A message like “I noticed you transitioned from Infosys to Razorpay about two years ago. I am currently preparing for a similar move and would really appreciate a 15-minute call to understand how you navigated the preparation and what you found most valuable” is direct, respectful, and usually successful in getting a response. People who have made a challenging transition are often willing to help others making the same move.
Engaging With Technical Content:
Publishing technical content on LinkedIn, whether in the form of short posts about problems solved, explanations of concepts learned, or insights from projects, increases visibility within the target community. Recruiters and hiring managers who see an IT services professional consistently publishing thoughtful technical content form a more positive impression than they would from a passive profile.
The content does not need to be elaborate or original research. Sharing insights from a LeetCode problem solved, explaining a system design pattern learned, or describing a personal project’s architecture are all legitimate and valuable forms of technical content that establish domain credibility.
Referrals:
Employee referrals are one of the highest-conversion application paths at product companies and GCCs. A referral from a current employee puts the application in front of the hiring manager more quickly and with a positive framing that a cold application does not have.
Referrals come from the connection network: former Infosys colleagues who have moved to the target company, college batch-mates who work there, LinkedIn connections who are willing to refer based on the quality of the interaction. Building the connection network before the job search begins means referrals are available when needed, rather than having to build the network under the time pressure of an active job search.
Realistic Timelines by Experience Level
The time required to successfully complete the transition from Infosys to a product company or GCC depends heavily on the current experience level, the target type of company, and the starting DSA and system design proficiency.
Less Than Two Years of Experience:
Professionals with under two years at Infosys who want to transition to product companies have the most important asset on their side: time. The earlier the preparation begins, the more organic and less disruptive the transition can be.
At this experience level, the target should be tier-2 product companies or GCCs rather than tier-1. The interview bar is more accessible, and the product company experience gained provides the stepping stone for tier-1 applications later.
Preparation timeline: 6 to 9 months of DSA and domain depth preparation is typically sufficient for tier-2 GCC or product company applications. The transition can realistically happen within one to one-and-a-half years of starting preparation.
Two to Four Years of Experience:
This is the most common transition point. Professionals in this band have accumulated meaningful project experience but still have relatively modest seniority, which means the compensation gap is beginning to be felt but the career commitment to IT services is not yet very deep.
The preparation timeline for this band is 9 to 12 months for tier-2 product companies and GCCs, and 12 to 18 months for tier-1 companies. The preparation requires covering DSA to Medium level proficiency, beginning system design study, deepening the primary domain area, and building the portfolio evidence.
The realistic transition can happen within 12 to 18 months of making the decision to switch, assuming consistent preparation of 1 to 2 hours daily.
Four to Seven Years of Experience:
At this level, the professional has deeper project experience to leverage but also faces a higher interview bar: system design is expected in most product company interviews, and the DSA must be solid at Medium level at minimum.
The preparation timeline is 12 to 18 months for tier-2 product companies and GCCs, with tier-1 requiring an additional 6 to 12 months beyond that. The preparation must specifically address system design in addition to DSA, and the professional should consider pursuing an intermediate GCC move as a stepping stone if tier-1 is the ultimate goal.
The realistic transition timeline for someone at 5 to 6 years of experience who starts preparing today is 12 to 18 months for tier-2 and GCC targets, with offers in the 20 to 35 LPA range being realistic.
More Than Seven Years of Experience:
For senior Infosys professionals (Technology Lead and above), the transition requires the most investment but can also yield the highest returns. At this level, system design is as critical as DSA, and leadership and managerial behavioral competencies are specifically evaluated.
The good news is that the Infosys project experience at senior levels is genuinely valuable and directly transferable. A TL with 8 years of experience managing client relationships, designing module architecture, and leading teams of 5 to 10 engineers has exactly the kind of experience that senior product company and GCC roles require. The gaps to address are primarily DSA (which many IT services professionals have let atrophy) and system design depth.
Preparation timeline: 12 to 18 months for senior GCC and tier-2 roles. Senior roles at GCCs in particular are very receptive to experienced IT services professionals who have the project scale and team leadership experience that Infosys develops.
Salary Expectations After Switching
The compensation improvement from a successful transition is one of the primary motivations for the move, and having accurate expectations is important for evaluating offers correctly.
Typical Compensation Ranges by Target:
For GCC transitions from IT services:
An SSE (3 to 4 years experience) moving to a mid-level GCC role can realistically expect 15 to 22 LPA, compared to a current Infosys salary of 5 to 7 LPA. This represents a 2 to 3x improvement.
A TA (5 to 6 years experience) moving to a senior GCC role can expect 20 to 30 LPA, compared to a current Infosys salary of 9 to 12 LPA.
A TL (7 to 9 years experience) moving to a lead or principal role at a GCC can expect 28 to 45 LPA, compared to a current Infosys salary of 14 to 18 LPA.
For tier-2 product company transitions:
The compensation ranges are broadly similar to GCCs at mid-levels, with equity (ESOPs) adding a potentially significant component of total compensation at growth-stage companies.
For tier-1 product company transitions:
Compensation packages at Google, Amazon, and Microsoft in India include a combination of base salary, annual bonus, and RSUs (Restricted Stock Units). Total compensation at these companies for senior individual contributors can reach 60 to 1,00,000+ USD equivalent for the most senior roles, representing a dramatic improvement over IT services salaries at any equivalent level.
The Equity Dimension:
Product company and GCC offers increasingly include equity (ESOPs or RSUs) as a component of total compensation. Equity has real financial value but also risk: ESOPs at pre-IPO startups may be worth a great deal if the company grows and lists, or they may be worth nothing if the company does not succeed. RSUs at public companies have more predictable value but vest over time.
When evaluating offers, the standard practice is to count liquid equity (RSUs at publicly traded companies) toward the total compensation calculation and to be conservative about the value of pre-IPO equity rather than counting it at the company’s most recent valuation.
Negotiating the Offer:
The transition from IT services to a product company or GCC is typically a larger than average salary increase, which creates negotiating leverage. Candidates who have competing offers from multiple companies are in the strongest negotiating position. Even candidates with a single offer can negotiate effectively by: researching the market rate for the role and presenting that data, providing evidence of competing interest (even informal), and being specific about the gap between the initial offer and expectations.
Most product companies and GCCs have some flexibility in the offer, particularly in the base salary or the equity grant size. Candidates who do not negotiate typically leave value on the table.
Common Mistakes During the Transition
Applying Before Preparation Is Complete:
The single most costly mistake in the transition is applying to target companies before the DSA and system design preparation is at the required level. Most product companies and GCCs allow candidates to reapply after a cooling period (typically 6 to 12 months after a rejection), but a failed interview attempt uses up the immediate application opportunity and may affect the impression the company has of the candidate.
The preparation level for applications should be verified through mock interviews, not through self-assessment. If you cannot consistently solve Medium LeetCode problems in 20 minutes and explain your approach clearly to another person, the preparation is not yet at application level.
Targeting Only Tier-1 Companies:
The aspiration to join Google, Amazon, or Meta is understandable, but making tier-1 the exclusive target while neglecting tier-2 and GCC applications is a strategic mistake. Tier-1 companies have very low acceptance rates (typically 1 to 5 percent of applicants), and the interview bar requires a level of preparation that takes most IT services professionals 12 to 18 months to reach.
A portfolio of applications across tier-1, tier-2, and GCC targets simultaneously maximizes the probability of a successful transition within a reasonable timeframe while also giving valuable interview practice across different formats and difficulty levels.
Neglecting the Resume and LinkedIn Profile:
Many professionals who have invested heavily in DSA preparation under-invest in the resume and LinkedIn profile work that gets the application noticed in the first place. A strong LeetCode profile does not automatically translate into interview calls; the resume must effectively communicate the relevant experience and the portfolio evidence must be visible on LinkedIn.
Spending 10 to 15 percent of total transition preparation time on resume and LinkedIn profile quality, and iterating based on feedback from successful transitioners or mentors, is a high-return investment.
Stopping Preparation After the First Offer:
The first offer received in the transition process may not be the best offer available. Candidates who stop applying and accept the first reasonable offer often discover that they were undervaluing themselves relative to what continued applications would have produced.
The professional recommendation is to interview at multiple companies in parallel, evaluate all offers together, and make the acceptance decision based on the full set of information available rather than the relief of having received the first offer.
Treating the Transition as a Single Event Rather Than a Process:
One of the most limiting mental models during the transition is treating it as a binary event: either you make the switch or you do not. In reality, the transition is a process with multiple stages: building skills, building portfolio evidence, applying, interviewing, receiving and evaluating offers, and negotiating. Each stage can be worked on incrementally and in parallel.
Professionals who treat the transition as a single binary event often over-prepare (waiting until they feel “100% ready” before applying, which never happens) or under-prepare (applying before the preparation level is sufficient and burning through early application opportunities). The iterative approach, where early applications are treated as learning experiences even if they do not result in offers, produces better outcomes over the full transition period.
Not Customizing Applications for Each Company:
Sending a generic resume and cover letter to 50 companies simultaneously is far less effective than sending a carefully tailored application to 10 companies. Each application should include a resume that highlights the experience most relevant to that specific company and role, a LinkedIn message or cover letter that demonstrates genuine understanding of what the company does, and ideally a referral or warm introduction from within the network.
Quality of applications matters more than volume, particularly for product companies that receive hundreds of applications for each role. A tailored application that demonstrates genuine interest and role fit stands out in a way that a generic one does not.
Underestimating the Time Required:
Candidates consistently underestimate how long the preparation takes and how long the job search takes. DSA preparation alone takes 4 to 6 months of consistent daily practice before reaching Medium problem proficiency. The job search itself, from active applications to receiving and accepting an offer, typically takes 2 to 4 months of active effort. The total timeline from “I should make this switch” to “I have accepted an offer” is realistically 9 to 18 months for most professionals.
Planning the transition with this timeline in mind, rather than assuming it can be completed in “a few months,” prevents the frustration and discouragement that comes from unrealistic expectations and also allows for better planning around Infosys service agreement obligations.
Underestimating Culture Fit Preparation:
Technical preparation rightly receives the most attention, but cultural fit preparation, particularly behavioral interview stories and company research, is consistently under-prepared by technical candidates. Interviews have been lost at the final stage by candidates who were technically excellent but whose behavioral answers were vague, whose company knowledge was superficial, or whose communication style did not align with what the company’s culture expected.
Treating behavioral preparation with the same seriousness as DSA preparation, including specific practice sessions and STAR story rehearsal, is part of the complete preparation for a successful transition.
Representative Transition Paths
Understanding the actual paths that professionals have taken from Infosys to product companies and GCCs provides grounded context for what is realistic and what the journey looks like in practice.
Path 1: Infosys SE to GCC in Two Years
A Systems Engineer with 2 years of experience at Infosys working on a Java application maintenance project spent 10 months preparing for a transition. The preparation focused on LeetCode Medium problems (approximately 200 problems solved), AWS certification (Solutions Architect Associate), and a personal project building a RESTful API with Spring Boot hosted on AWS. Applied to 8 GCCs in the BFSI sector. Received 3 interview calls, cleared 2, and accepted an offer from a major bank’s GCC at 17 LPA (compared to current Infosys salary of 5.5 LPA).
Path 2: Infosys TA to Tier-2 Product Company in 14 Months
A Technology Analyst with 5 years of experience at Infosys, primarily in data engineering, spent 14 months preparing. The preparation included solving 350+ LeetCode problems, studying system design through Designing Data-Intensive Applications and several mock design sessions, and deepening expertise in Apache Spark and cloud data warehouse technologies through personal projects. Applied to 12 companies across tier-2 product and well-funded startups. Received 5 interview calls, cleared 3 full loops, and accepted an offer from a data platform startup at 28 LPA with ESOPs.
Path 3: Infosys TL to Tier-1 in Three Years
A Technology Lead with 8 years of experience at Infosys, with strong Java and distributed systems experience from a fintech client project, spent three years on the transition. The first year was spent preparing for and joining a GCC in the financial services domain (salary jump from 16 LPA at Infosys to 32 LPA at the GCC). The following two years at the GCC were spent building product company-style depth (more complex system ownership, contribution to architecture decisions, open source contributions to a Java framework). After two years at the GCC, applied to Amazon’s India development center. Cleared the interview loop with 6 months of specific Amazon-format preparation and joined Amazon at a TC of approximately 65 LPA.
Path 4: Infosys SSE to Startup in 8 Months
An SSE with 3 years of Infosys experience in a data engineering stream spent 8 months preparing. The preparation focused on Python and SQL depth (building a personal ETL pipeline project using Apache Airflow), LeetCode Medium problems (150 problems solved), and actively networking with engineers at fintech startups through LinkedIn and a local data engineering meetup group. Received an interview call through a referral from a LinkedIn connection, cleared the two-round technical process (one coding round, one data architecture discussion), and joined a Series B fintech startup at 20 LPA with ESOPs. The startup’s growth led to the ESOP value being significant two years later at a subsequent funding round.
Path 5: Infosys TA to Microsoft GCC Without Switching Jobs Twice
A Technology Analyst with 6 years of experience specifically targeted the Microsoft India Development Center as a direct move from Infosys (without an intermediate stop). Spent 16 months in preparation: 12 months of heavy DSA and system design preparation, alongside completing Azure certifications and building a cloud infrastructure project. Applied directly through the Microsoft careers portal after thorough preparation. Cleared the three-round technical loop (two coding rounds and one system design round) and received an offer at 35 LPA.
These paths illustrate that there is no single correct route. The staged approach (IT services to GCC, then GCC to tier-1) is higher probability for most professionals but the direct path is achievable for those who prepare rigorously enough. The common thread across all successful transitions is preparation duration measured in months, consistent daily effort, and a realistic initial target that matches the preparation level.
Final Thoughts: The Transition as a Career Investment
The transition from Infosys to a product company or GCC is one of the highest-return career investments available to Indian technology professionals. The financial returns, in the form of dramatically higher compensation, are real and lasting. The professional returns, in the form of more technically stimulating work, greater ownership, and richer learning environments, are equally valuable though less easily quantified.
The investment required is also real: months of preparation alongside a demanding day job, the discipline to practice consistently rather than intensively but inconsistently, the vulnerability of putting months of work on the line in a single interview loop, and the persistence to continue when early applications do not immediately produce offers.
The professionals who successfully make this transition are not uniformly the most talented. They are those who were honest about the gap between where they were and where they needed to be, who built a specific plan to close that gap, who executed the plan consistently, and who applied strategically rather than randomly.
The preparation period is itself valuable beyond its function as interview preparation. Building genuine DSA proficiency, developing system design thinking, deepening domain expertise, and creating portfolio evidence through personal projects all make the professional more capable and more valuable regardless of whether any specific interview succeeds. The skills developed in preparing for this transition are the same skills that will determine career trajectory for the decade following it.
Use this guide as the framework and begin the preparation today. The timeline is long enough that starting immediately is the most important first step, and the career outcome on the other side of a successful transition is worth every hour of the preparation journey.
The Infosys career is a strong foundation. The product company or GCC career is the structure built on top of it. The transition between them is a deliberate act of career construction that requires preparation, patience, and persistence. With all three in place, the outcome is not uncertain: it is a matter of when, not if.
Frequently Asked Questions
1. How long does it take to switch from Infosys to a product company?
The realistic timeline ranges from 9 to 18 months of focused preparation depending on current experience level, target company tier, and starting DSA proficiency. For GCC targets, 9 to 12 months is sufficient for most professionals with 3 to 5 years of Infosys experience. For tier-1 product companies, 12 to 18 months is a more realistic minimum. Professionals who have maintained active competitive programming practice will need less time.
2. Do I need to know competitive programming to switch to a product company?
You do not need to be a competitive programmer at the HackWithInfy or Codeforces Expert level to switch to most product companies or GCCs. The DSA bar for GCCs and tier-2 product companies is solidly solving Medium LeetCode problems, not Hard competitive programming problems. The higher bar applies only to tier-1 companies.
3. Is it possible to switch to a product company without a computer science degree?
Yes. Product companies and GCCs evaluate candidates on demonstrated skills, not degree background. IT services professionals from non-CS branches who have developed strong programming skills, completed relevant certifications, and built portfolio projects that demonstrate technical depth are regularly hired by product companies. The degree is less important than what the candidate can actually do.
4. Should I quit Infosys before finding a new job?
No. The strong recommendation is to continue working at Infosys while preparing for the transition and actively job searching. Quitting before having an offer creates financial pressure that impairs interview performance and forces accepting the first adequate offer rather than the best available one. The 90-day notice period at Infosys is sufficient buffer between offer acceptance and joining at most companies.
5. How do I explain my IT services background in product company interviews?
Frame the IT services background honestly and specifically. Describe the scale of the systems worked on, the specific technical problems solved, and the ownership held over specific components. Avoid apologizing for the background or suggesting it is irrelevant. The project scale, client communication experience, and breadth of technology exposure are genuine strengths that product company interviewers recognize when presented effectively.
6. What is the best first step to take toward switching from Infosys?
The single most impactful first step is completing an honest skills audit: where does your DSA stand (test yourself with LeetCode Medium problems), what is your deepest technical domain, and what is your system design knowledge level. This audit tells you specifically what to prepare for and how long the preparation will realistically take. Starting the LeetCode preparation habit (one problem per day minimum) immediately after the audit is the best possible follow-up action.
7. Do certifications help in getting product company or GCC jobs?
Certifications, particularly cloud certifications (AWS, Azure, GCP), are recognized and valued at GCCs and at product companies in cloud and data roles. They are not sufficient on their own (technical interviews must still be cleared), but they strengthen the resume and provide evidence of domain depth. The AWS Solutions Architect Associate is the single most broadly useful certification for IT services professionals targeting cloud-adjacent roles.
8. How important is the Infosys brand name in product company applications?
The Infosys brand is well-recognized and respected among Indian and global technology companies. It communicates that the candidate has worked in a professional, large-scale delivery environment with rigorous processes. The brand recognition opens doors for initial application screening. However, the interview performance is what determines the offer, and the Infosys brand does not compensate for insufficient DSA or system design preparation.
9. What salary increase should I expect when moving from Infosys to a GCC?
A realistic salary increase for an IT services professional moving to a GCC ranges from 50 to 150 percent depending on the specific role, the GCC tier, and the professional’s experience level. An SSE moving to a GCC can realistically expect the salary to increase from 5 to 7 LPA to 15 to 22 LPA. A TA to senior GCC role might move from 9 to 12 LPA to 20 to 30 LPA. These are broad ranges; the specific offer depends heavily on negotiation and the competitive pressure from other offers.
10. Should I target a GCC first and then a product company, or go directly to a product company?
For most IT services professionals, the GCC-first strategy is the higher-probability path. GCCs provide a genuine and immediate improvement in compensation and work quality, while also building the product-development experience and modern technology exposure that makes subsequent product company applications more competitive. The two-step path (IT services to GCC, then GCC to product company) has a higher overall success rate than attempting a direct IT services to tier-1 product company transition for most professionals.
11. How do I prepare for system design interviews?
Start by reading Designing Data-Intensive Applications to build the conceptual foundation. Follow this with structured study of specific system design topics (caching, message queues, databases, load balancing) using online resources. Then practice designing specific systems from scratch, ideally in mock interview sessions with another person playing the interviewer role. A minimum of 20 to 30 hours of system design practice across 15 to 20 specific system designs is a reasonable preparation baseline for senior-level product company interviews.
12. What open source projects should I contribute to?
Contribute to projects in your primary technology domain that have active communities, clear contribution guidelines, and issues labeled “good first issue” or similar. If your background is Java Spring Boot, contributing to the Spring ecosystem, a Spring-based framework, or a popular Java library is relevant. If your background is cloud and data, contributing to Apache projects (Kafka, Spark, Airflow) or popular Python data tools is appropriate. The relevance of the contribution to the target role domain is more important than the prestige of the project.
13. Is it worth doing a MBA to transition from IT services to a product company?
A technical MBA from a top institution can accelerate the transition to product management roles at product companies, which is a different track from engineering roles. For engineering transitions, an MBA is neither necessary nor typically sufficient: product companies evaluate engineers on technical capability, not management credentials. The time and money invested in an MBA is generally better spent on DSA preparation, certifications, and portfolio projects for engineering role transitions.
14. How do I handle the salary negotiation when I get an offer from a product company?
Research the market rate for the role and level at the specific company (Glassdoor, Levels.fyi, and peer conversations are useful sources). When the offer is made, express enthusiasm for the opportunity and then ask whether there is flexibility on the base salary or equity. Providing a specific counter-offer with a rationale (“My research suggests the market rate for this role at this level is in the X to Y range, and I am hoping to be at the upper end of that range given my domain experience”) is more effective than a vague request for improvement. Having a competing offer, even if less preferred, is the strongest negotiating tool.
15. What is the most common reason IT services professionals fail product company interviews?
The most common reason is applying before the preparation level genuinely supports the target. Candidates who have done “some LeetCode” but not reached the level of consistently solving Medium problems in 20 to 25 minutes under interview conditions fail the coding rounds. The preparation bar for product company coding interviews is specific and measurable: consistent Medium problem performance within time constraints, with verbal explanation, is the minimum for most tier-2 product companies. Knowing this bar exists and training specifically to reach it, rather than doing general preparation and hoping it will be enough, is the difference between passing and failing.
The Mental Game of the Transition
Beyond the practical preparation steps, the transition from Infosys to a product company or GCC has a significant psychological dimension that affects outcomes but is rarely discussed in preparation guides.
Managing Self-Doubt:
Many IT services professionals carry an implicit belief that they are not “good enough” for product companies, that the transition is for exceptional people with exceptional abilities rather than for regular engineers willing to put in the work. This belief is not only false; it is specifically contradicted by the actual pattern of successful transitions described in this guide and observable in the career histories of hundreds of thousands of Indian technology professionals.
The belief typically originates from legitimate observations: product company interviews are harder than IT services interviews, and many people fail them. But the conclusion drawn from this observation is often wrong. The interviews are harder not because only exceptional people can pass them, but because the preparation required is more specific and more demanding than the preparation for standard placement assessments. Engineers who do the specific preparation succeed at rates that directly contradict the “I am not good enough” narrative.
Handling Rejection:
Most candidates who eventually succeed in making the transition face rejections along the way. An interview failure at a target company is not evidence that the transition is impossible; it is feedback about the current preparation level and interview readiness relative to that company’s specific bar.
The productive response to an interview rejection is: request feedback if available (some companies provide specific feedback, many do not), analyze what part of the interview was weakest, address that specific weakness in the preparation plan, and reapply after the cooling period has elapsed. The majority of professionals who eventually pass a product company interview loop had at least one rejection at some company along the way.
The Identity Shift:
The transition from an IT services professional to a product company engineer involves a genuine identity shift, not just a job change. The self-concept, the professional community, the vocabulary of daily work, and the metrics by which success is measured all change. Embracing rather than resisting this identity shift makes the transition smoother.
The professionals who navigate this transition most successfully are those who genuinely identify with the destination more than the origin: who think of themselves as engineers who are building skills to work in a product company environment, rather than as IT services professionals who are trying to escape. The mindset of building toward something, rather than escaping from something, produces both better preparation quality and more compelling interview performance.