The Role
Lead backend engineering for high-scale distributed systems supporting over 100 million daily active users. Design scalable architectures, optimize APIs for sub-50ms latency, and ensure reliability across microservices, messaging, caching, storage, and cloud infrastructure. Mentor engineers, conduct code reviews, establish engineering best practices, and use AI tools such as GPT and Copilot to accelerate development. The role offers substantial ownership of critical platforms and opportunities to grow toward principal engineer, architect, or CTO roles.
Summary Generated by Built In
Backend - Technical Lead
About Us:
Paytm is India’s largest digital payments and financial services platform, leading the mobile QR revolution. We power millions of businesses and individuals, and we’re building scalable, resilient systems to serve half a billion Indians and beyond.
Here at Paytm, technology isn't just about keeping up, it's about building the future. We believe the next generation of engineers must not only scale systems to billions but also leverage AI and GPT tools to accelerate innovation
About the Role:
1) As a Technical Lead, you’ll not just write code — you’ll design scalable architectures, coach engineers, and lead technology-first projects.
2) You'll drive backend systems that support 100M+ DAUs, optimize APIs to sub-50ms latencies, and be a champion of engineering excellence.
3) We expect you to actively use AI tools to accelerate architecture design, code reviews, prototyping, and developer productivity.
What We're Looking For:
1) 4 to 6 years of hands-on backend engineering experience — Java, Spring Boot, AWS.)
2) Proven ownership of high-scale distributed systems. Deep knowledge of microservices, messaging systems, caching, storage optimization, and cloud scalability.
3) Clear architectural thinking; you can design systems for billions of transactions, not just millions.
4) An AI-first mindset — you should know how to augment yourself with GPT and other AI coding tools to move 2x faster.
5) Strong leadership skills — mentoring, code reviewing, pushing for engineering best practices.
Why You Should Join Us:
1) Massive ownership and real-world system building opportunities.
2) Work with AI, not against it — code smarter, architect smarter, and build smarter.
3) We are a pure tech-driven team inside Paytm — no unnecessary meetings, no bureaucracy.
4) You’ll work on critical platforms, live user-impacting systems, and future-proof engineering.
Ideal Profile
1) Obsessed with system scale, performance, and reliability.
2) Already using or excited to use AI tools (GPT, Copilot, etc.) for development.
3) Loves deep backend engineering, and believes technology should move fast, with high impact.
4) Wants to grow into a principal engineer, architect, or CTO over time.
Preferred Qualifications : Bachelor's/Master's Degree in Computer Science or equivalent(Only from Tier 1/2 colleges)
Skills Required
- 5+ years of hands-on backend engineering experience
- Experience with Java, Spring Boot, and AWS
- Proven ownership of high-scale distributed systems
- Deep knowledge of microservices, messaging systems, caching, storage optimization, and cloud scalability
- Ability to design systems handling billions of transactions
- Experience or willingness to use GPT and other AI coding tools
- Strong leadership, mentoring, code review, and engineering best-practice skills
- Bachelor's or master's degree in Computer Science or equivalent from a Tier 1 or Tier 2 college
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The Company
What We Do
Paytm started the Digital Revolution in India. And we went on to become India’s leading Payments App. Today, more than 20 Million merchants & businesses are powered by Paytm to Accept Payments digitally. This is because more than 300 million Indians use Paytm to Pay at their stores. And that’s not all, Paytm App is used to Pay bills, do Recharges, Send money to friends & family, Book movies & travel tickets. With innovations to Financial services & products in pipeline, this is but one of the milestones achieved towards our mission – to bring 500 million unserved and underserved Indians to the mainstream economy.
