Job location: Gurgaon/Mumbai/Remote

About the role:

Our backend systems process millions of transactions, serve enterprise customers across industries, and must perform flawlessly under pressure. We are scaling fast — and the decisions made at the architecture level today will define how the platform operates for years. We are hiring a Lead Backend Engineer to own that responsibility.

This is a technical leadership role with real weight. You will set the architectural direction for core backend services, resolve ambiguity in complex distributed systems, engage directly with Product and DevOps leadership as a peer, not a downstream implementer and be the person the team turns to when things go wrong in production. Your decisions will have a measurable impact on system reliability, engineering velocity, and the careers of the engineers you mentor.

We are looking for an engineer who has operated at this level before — someone who understands that senior engineering skill and technical leadership are not the same thing, and who is ready to take on both with full ownership.

• Own backend features end-to-end: requirements, design, implementation, testing, and production rollout

• Produce technical design documents for assigned features; present and defend them in design reviews

• Write production-quality Java and Spring Boot code that meets the team’s standards for performance, maintainability, and test coverage

• Identify and address edge cases, failure modes, and scalability constraints at the design stage — not after the fact

• Deliver features on schedule with a consistent track record of quality and low post-release defect rates

• Build and maintain microservices with a focus on reliability, scalability, and clean service boundaries

• Design and optimise interactions with PostgreSQL and MongoDB; write performant queries and schema migrations

• Implement Kafka-based event-driven workflows: consume, produce, and handle failure scenarios correctly

• Use Elasticsearch for search features; understand indexing, mapping, and query construction

• Instrument services with appropriate logging, metrics, and alerting from day one

• Participate in on-call rotations and respond to production incidents with urgency and structure

• Conduct root cause analysis on incidents related to your features and drive preventive improvements

• Proactively monitor system health; surface degradation or risk to the Lead Engineer before it becomes an incident

• Contribute to operational runbooks, post-mortems, and reliability improvement initiatives

• Conduct thorough, constructive code reviews for junior engineers; elevate review quality on the team

• Mentor junior engineers on technical approach, debugging discipline, and engineering best practices

• Collaborate closely with the Lead Engineer on architecture decisions; contribute well-reasoned technical opinions

• Partner with QA, DevOps, and Product to ensure features are delivered with full operational readiness

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

• 5+ years of experience building and maintaining backend systems in production environments.

• Strong proficiency in Java with hands-on experience in Spring Boot–based microservices.

• Solid understanding of data structures, algorithms, and backend problem solving.

• Strong experience with PostgreSQL or other relational databases in high-scale systems.

• Experience building and consuming RESTful APIs and working with asynchronous systems.

• Strong debugging and troubleshooting skills in live production systems.

• Good understanding of software engineering best practices, including testing, code reviews, CI/CD, and release management.

• Clear communication skills and ability to collaborate effectively within a team.

• Hands-on experience with Kafka or similar messaging/event-streaming platforms.

• Exposure to distributed systems, microservices architecture, and scaling strategies.

• Experience with Docker and Kubernetes in production environments

• Cloud platform experience (AWS, Azure, or GCP)

• Caching with Redis: cache-aside, TTL strategies, cache invalidation patterns

Resilience engineering: Circuit Breaker, Bulkhead, Retry, Rate Limiting patterns

Great to have:

• Experience using Redis, Elasticsearch, and MongoDB in production systems.

• Exposure to SRE or platform engineering practices

• Experience contributing to or leading engineering hiring processes

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