Job highlights

- 5-10 years backend engineering with Java, Kotlin, Python, Go, or Node.js; expertise in distributed systems, microservices, APIs, SQL/NoSQL databases, and React
- Design and develop scalable backend services and APIs; lead complex feature implementation; build reliable services for high-traffic streaming; develop RESTful APIs, microservices, and event-driven architectures; contribute to frontend with JavaScript/TypeScript and React; participate in system design, code reviews, troubleshooting, and mentoring

Lead Backend Software Engineer (Product)

Responsibilities

Provide technical leadership to members of the Product API team, including input on system architecture and design tradeoffs, as well as coaching other members of the team and mentoring new hires.

Collaborate with product and client engineering teams to design and deliver GraphQL APIs that enable rich, performant user experiences while maintaining clean separation of concerns and optimal client-server interactions.

Own and evolve critical product subsystems including recommendations, catalog, search, in-app notifications, user preferences, viewing history, collections, experiments, and feature flags.

Build and maintain proxy and augmentation layers that integrate domain services from across the organization (such as video infrastructure, recommendations systems, and search) into a cohesive, unified API.

Drive continuous improvements to the reliability, performance, scalability, and maintainability of product API infrastructure, ensuring sub-second response times and high availability across all endpoints.

Collaborate with data science and product analytics teams to instrument the API layer for experimentation, A/B testing, and feature rollouts, enabling data-driven product decisions.

Build and enhance observability tools to proactively monitor API performance, identify bottlenecks, debug issues, and ensure optimal cache utilization across the system.

Work with infrastructure teams to optimize database queries, implement effective caching strategies,



and ensure DataServer scales efficiently as user base grows.

Qualifications

8+ years of software development experience.

2+ years of experience mentoring and providing technical guidance to other engineers (bonus points for experience or interest in managing engineering teams).

Robust experience designing and implementing GraphQL APIs at scale (bonus points for experience with complex schema design, query optimization, and federation patterns).

Proven track record of building highly efficient and highly available backend services using NodeJS, Ruby, Golang, Python, or similar programming languages.

Experience operating in cloud computing environments using modern software deployment technologies (e.g. Docker, Kubernetes, AWS).

Deep understanding of API design principles, RESTful and GraphQL patterns, caching strategies, and performance optimization techniques.

Experience working with large amounts of data and making data-based decisions to prioritize projects, including familiarity with relational and non-relational databases and modern data warehousing and querying with SQL.

Strong systems thinking with the ability to design cohesive API abstractions that cleanly separate concerns while enabling flexibility for diverse client needs.

Experience building proxy and aggregation layers that integrate multiple backend services into unified APIs.

Familiarity with experimentation frameworks, feature flag systems, and A/B testing infrastructure.

Experience and aptitude for collaborating and communicating with internal stakeholders across product, design, client platform engineering, and data science teams.

Understanding of video streaming product ecosystems and the unique challenges of building APIs for multi-platform applications (web, mobile, TV).

Expertise in either product-facing API development or machine learning systems and model serving infrastructure. We are language agnostic, but most of our backend code is written in Golang, NodeJS and Ruby, with some C++ and Python. Our services run on Kubernetes, and we practice continuous deployment across all of our systems.

📌 Lead Backend Software Engineer (Product) (Lucknow)
🏢 Sdlc Technologies
📍 Lucknow