Everybody talks about FAANG — Google, Microsoft, Amazon, Meta. But there is a second tier of tech companies operating in India that pay FAANG-comparable salaries, have stronger engineering cultures than most Indian product companies, and are significantly easier to get into. If you are serious about salary, ignoring this tier is a major strategic mistake.
This guide covers the highest-paying non-FAANG tech companies operating in India in 2026, with real salary data at each experience level, what their interview processes look like, and what makes each company worth knowing about.
What We Cover
- Quick reference: salary comparison across top companies
- Tier 1: Global companies with India offices paying FAANG-comparable
- Tier 2: Top Indian product companies
- Tier 3: High-growth startups with competitive pay
- What the interview bar looks like at each tier
- How to actually get hired at these companies
Quick Reference: Salary Comparison Across Top Companies
| Company | SDE-1 (Fresher) | SDE-2 (3–5 yrs) | Senior / SDE-3 (5–8 yrs) | Locations |
|---|---|---|---|---|
| Stripe India | ₹40–55L | ₹70–1.1Cr | ₹1–1.7Cr | Bangalore |
| Coinbase India | ₹35–50L | ₹65–1Cr | ₹90L–1.6Cr | Hyderabad |
| Atlassian India | ₹28–40L | ₹55–85L | ₹80L–1.2Cr | Bangalore |
| Razorpay | ₹22–35L | ₹40–70L | ₹65–1Cr | Bangalore |
| Juspay | ₹20–32L | ₹38–60L | ₹55–90L | Bangalore |
| CRED | ₹25–38L | ₹45–75L | ₹70L–1Cr | Bangalore |
| Zepto | ₹20–30L | ₹35–60L | ₹55–85L | Mumbai, Bangalore |
| Meesho | ₹22–35L | ₹40–65L | ₹60–90L | Bangalore |
| Swiggy | ₹20–32L | ₹38–65L | ₹60–95L | Bangalore |
| Zomato / Blinkit | ₹20–30L | ₹35–60L | ₹55–85L | Gurugram |
| Groww / Zerodha | ₹18–28L | ₹32–55L | ₹50–80L | Bangalore |
| Flipkart | ₹24–38L | ₹42–70L | ₹65–1Cr | Bangalore |
Tier 1: Global Companies with India Offices Paying FAANG-Comparable
These are global tech companies that have established significant engineering offices in India. Their pay tracks global (USD-denominated) bands, which is why they often pay more than even top Indian product companies.
Stripe India (Bangalore)
Stripe India has grown into a significant engineering hub with teams owning core payment infrastructure globally — not just a support office. Pay is USD-denominated with a location factor applied, putting it neck-and-neck with Google India at comparable levels. The interview bar is among the highest in India: expect 5–6 rounds including system design, distributed systems depth, and a focus on writing production-quality code (not just LeetCode patterns).
Tech stack: Ruby, Scala, Go, Java. Strong SRE culture. Excellent WLB compared to FAANG.
Coinbase India (Hyderabad)
Coinbase India is one of the largest US tech company engineering offices in Hyderabad. Pay is competitive with FAANG. The crypto market's volatility has led to some layoff cycles, but the India office has remained stable. Strong equity upside if Coinbase (COIN) stock performs. Interview is rigorous — 4–5 rounds focusing on algorithms, system design, and blockchain/distributed systems context.
Tech stack: Go, Python, TypeScript. Blockchain/Web3 context is a plus but not required for most roles.
Atlassian India (Bangalore)
Atlassian India engineers work on Jira, Confluence, and the Forge platform — products used by millions of developers globally. Pay is USD-benchmarked and competitive. Atlassian is famous for its strong engineering culture and unusually good work-life balance for the salary it offers. The interview process emphasises values fit ("TEAM Anywhere") alongside technical depth — 4 rounds typical.
Tech stack: Java, Python, TypeScript, React. Microservices at scale. Remote-friendly even within India.
Other Notable Global Companies in India
Also worth targeting: Databricks India (Bangalore, ₹45–1.2Cr, data engineering focus), Twilio India (Bangalore, ₹35–90L), Cloudflare India (Bangalore, ₹40–1Cr, networking/security focus), Salesforce India (Hyderabad/Bangalore, ₹30–90L, enterprise focus), Adobe India (Bangalore/Noida, ₹30–80L, strong brand, good WLB).
Tier 2: Top Indian Product Companies
These are Indian-origin or India-headquartered product companies that have built world-class engineering teams and pay competitively — often at 70–85% of FAANG salaries at comparable levels, while offering strong equity upside and excellent engineering work.
Razorpay
Razorpay processes transactions for hundreds of thousands of Indian businesses and has one of the strongest backend engineering cultures in India. Pay is competitive, ESOPs are meaningful (pre-IPO valuation over $7.5B as of last round). Interview focuses on systems thinking — payment flows, reliability, distributed transactions. Not just LeetCode: expect deep questions on how their actual systems work.
Best for: Engineers interested in financial systems, payments infrastructure, and high-reliability backend work.
CRED
CRED consistently ranks among the best-paying and best-culture companies in India. The engineering team is small relative to the product scale, which means each engineer owns a larger surface area. Salaries are at the top end for Indian product companies. Interview is rigorous (4–5 rounds) with emphasis on first-principles thinking, not pattern memorisation.
Best for: Engineers who want an intense engineering environment, strong brand value, and significant equity upside at a high-valuation pre-IPO company.
Juspay
Juspay is the hidden gem of Indian fintech engineering. They power payment infrastructure for some of India's largest apps (Amazon, Google Pay, Swiggy) and use Haskell and PureScript — making them one of the very few Indian companies doing production functional programming at scale. Pay is excellent; learning is exceptional. If you want to be a genuinely elite engineer, Juspay is a rare opportunity.
Best for: Engineers interested in programming language theory, functional programming, and payments infrastructure.
Flipkart
India's largest e-commerce company runs engineering at a scale matched only by Amazon India. The problems are genuinely hard — inventory systems, search, recommendation engines, logistics routing at 100M+ user scale. Pay is competitive and the brand is the strongest after FAANG for Indian product companies. Walmart ownership adds stability.
Best for: Engineers wanting to work at extreme scale with a strong brand on their resume.
Tier 3: High-Growth Startups with Competitive Pay
These companies are growing fast, pay well, and offer the highest equity upside — but also carry more uncertainty than the companies above.
| Company | Domain | SDE-2 Range | Upside / Risk |
|---|---|---|---|
| Zepto | 10-min grocery delivery | ₹35–60L | Pre-IPO ESOPs; fast growth; intense environment |
| Meesho | Social commerce | ₹40–65L | Approaching profitability; strong ML/data engineering work |
| Groww | Retail investing / fintech | ₹32–55L | SEBI-compliant scale; strong data + compliance engineering |
| PhonePe | Digital payments | ₹35–60L | Walmart-backed; IPO expected; large scale payments engineering |
| Navi Technologies | Lending / insurance fintech | ₹28–50L | Sachin Bansal founded; strong engineering culture; pre-IPO |
| Slice (now merged with North East Small Finance Bank) | Credit / fintech | ₹25–45L | Regulatory complexity; smaller team; more ownership |
What the Interview Bar Looks Like at Each Tier
| Tier | DSA/Coding Rounds | System Design | Behavioural | Total Rounds |
|---|---|---|---|---|
| Stripe, Coinbase, Atlassian | 2–3 rounds; medium-hard LeetCode; emphasis on code quality and edge cases | 1–2 rounds; expect global scale; architectural trade-off depth required | Deep values interview; specific stories required | 4–6 |
| Razorpay, CRED, Flipkart | 2–3 rounds; medium LeetCode; some domain-specific (payments, e-commerce) | 1 round; Indian-scale systems (100M users); product context important | Moderate; culture fit + leadership principles | 4–5 |
| Zepto, Meesho, Groww | 2 rounds; medium LeetCode bar; speed matters | 1 round; practical real-world scenarios from their domain | Lighter; mostly "why us / what you've built" | 3–4 |
How to Actually Get Hired at These Companies
Referrals are the highest-conversion channel. At every company on this list, referral applications convert to interviews at 3–5× the rate of direct applications. If you do not know anyone at your target company, find alumni from your college on LinkedIn who work there. A cold but specific message ("I noticed you work on the payments team at Razorpay — I have been working on payment gateway infrastructure at [company] for 2 years and would love to learn more about how the team works") has a 15–25% response rate.
Target the right level. Many engineers apply to roles above their level, get rejected, and conclude the company is out of reach. Be accurate about which level you map to. If you have 3 years of experience at a mid-tier company, you are probably SDE-1 or junior SDE-2 at a top-tier company. Applying to SDE-2 roles at Stripe with 3 years at an IT services company sets you up for rejection.
Domain preparation matters more than people admit. If you are targeting Razorpay, know how payment gateways work — the flow from merchant to payment processor to bank and back. If targeting Swiggy, understand delivery logistics and real-time order routing. If targeting Atlassian, use Jira deeply and understand how their platform pricing works. This knowledge shows up in system design and behavioural rounds and differentiates you from candidates who only prepared LeetCode.
The Opportunity That Most Engineers Miss
The biggest insight from this list: the companies paying ₹40–80 LPA at the SDE-2 level are not just FAANG. There are 15–20 companies in India where a competent engineer with 4–6 years of experience can earn in that range — if they target them systematically.
Most engineers default to applying to FAANG and a few well-known startups, and then giving up when they do not break through immediately. The companies on this list have slightly lower bars, slightly less competition, and pay within striking distance of FAANG — especially when you factor in equity, WLB, and the probability of actually getting an offer.
Build a target list of 8–12 companies across Tiers 1–3, prepare systematically for 3–4 months, and run simultaneous processes. The goal is not to get into one dream company — it is to generate 3–4 offers in parallel so you can negotiate from strength.