Site Reliability Engineer

Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution.
Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow.
From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech
Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia.
Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently.
Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region.
We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce Ventures, having raised over $740 million to date. Strategic acquisitions - including Ezetap (POS and offline payments), Curlec (Malaysia expansion), BillMe (digital invoicing), and POP (rewards-first UPI) - along with earlier moves in fraud prevention, payroll, and lending, have further strengthened our platform and widened our footprint across Asia.
But what truly sets Razorpay apart is our culture. At Razorpay, ownership is our oxygen - you own what you build, with no micromanagement or red tape, just the runway to make your ideas fly. Learning is a lifestyle - if you’re curious, you’ll feel at home here. People > Pedigree - we hire for attitude, hustle, and hunger more than degrees. Transparency thrives over titles - this is where interns question CXOs and CXOs say “thank you.” Guided by our values of Customer First, Autonomy & Ownership, Agility with Integrity, Transparency, Challenging the status quo and a strong belief that Razorpay grows with Razors, you’ll be part of a 3000+ strong team building not just products, but the financial infrastructure of the future.
About the Role
Site Reliability Engineering (SRE) at Razorpay combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems that power India’s digital payment infrastructure. SRE ensures that Razorpay’s services — both our internally critical and our externally- visible systems — have the reliability, uptime, and performance appropriate to the needs of millions of businesses and their customers. Given that every transaction on our platform represents real money movement, the stakes for reliability are exceptionally high. As an SRE, you will keep an ever-watchful eye on system capacity, performance, and latency across a stack processing $180+ billion in annualized transactions. Much of our software development focuses on optimizing existing systems, building infrastructure, and eliminating manual work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale that are unique to a high-throughput fintech platform, while using your expertise in coding, algorithms, complexity analysis, and large-scale system design. You will increasingly leverage AI and machine learning to transform how we operate — from AI- assisted incident detection and response, to ML driven anomaly detection, predictive capacity planning, and intelligent alerting that reduces noise and surfaces real issues before they impact customers. SRE’s culture of intellectual curiosity, problem solving, and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences, and perspectives. We encourage them to collaborate, think big, and take risks in a blame free environment.
The SRE team at Razorpay supports services that are foundational to running production at scale — including payment routing, rate limiting, shard management, traffic shaping, and the reliability of core payment, payout, and reconciliation systems. These platforms implement safety guardrails, risk controls, regulatory compliance mechanisms, accounting integrity, and dynamic load balancing for stateful services. Behind everything our customers see is the architecture built by the Infrastructure team to keep it running, and we are proud to be our engineers’ engineers.
Responsibilities
• Develop strong, influential relationships with multiple stakeholders across the Site Reliability Engineering, Developer, and Product organizations.
• Serve as an expert on particular fields of knowledge related to rate limiting, sharding, traffic management, and large-scale distributed system reliability for Razorpay’s payment platform.
• Develop plans and lead projects that evolve our production systems and their reliability — spanning capacity planning, failure-mode analysis, and architectural improvements for high- throughput, low-latency payment infrastructure.
• Design, build, and operate automation tooling and self-healing infrastructure that eliminates manual toil and improves system resilience across the payments stack.
• Leverage AI and ML to build intelligent observability — anomaly detection, predictive alerting, noise reduction, and correlation engines that surface real issues before they impact customers.
• Drive AI-assisted incident management: use LLM-based tooling for root-cause analysis, incident summarization, runbook generation, and post-incident learning to reduce mean-time-to- resolution (MTTR).
• Build and maintain reliability for AI-native and AI-assisted products — including agentic payments, AI-driven fraud detection, and real-time risk intelligence — ensuring the infrastructure supporting ML models and inference pipelines is production-grade.
• Identify internal and external opportunities to improve systems, including evaluating emerging AI/Ops (AIOps) tools, observability platforms, and reliability patterns.
• Provide on-call support for onboarded services, participating in incident response, blameless postmortems, and driving follow-up remediation.
• Mentor engineers across the organization on SRE practices, reliability thinking, and the effective use of AI tooling in day-to-day operations.
• Champion SRE best practices — service-level objectives (SLOs), error budgets, toil reduction, and data-driven reliability decisions — across engineering teams.
Minimum Qualifications
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of experience in software engineering, systems engineering, or site reliability engineering. 3 years of experience with site reliability engineering focused on building and maintaining scalable, reliable systems.
• 3 years of experience in software design and architecture, including distributed systems and backend services.
• Proficiency in at least one programming language (Go, Python, Java, or similar) with the ability to write production-quality code and