SDE III - Backend

What you'll do

• Own one or more critical components/services end-to-end including architecture, development, deployment, operations, and evolution
• Own the entire lifecycle of components including design, implementation, testing, deployment, monitoring, incident response, and continuous improvement
• Create detailed technical low-level designs for complex systems including data models, APIs, concurrency patterns, and failure modes
• Write production-grade code daily
• Own and operate infrastructure including capacity planning, scaling, and reliability improvements
• Drive cost optimization for owned components by analyzing spending and implementing efficient architectures
• Build and optimize systems handling 200K+ queries per second and petabyte-scale data processing
• Design and implement comprehensive monitoring, alerting, and debugging capabilities
• Lead incident response, conduct post-mortems, and drive systemic improvements
• Participate in on-call rotations and ensure operational readiness with runbooks, alerts, and dashboards
• Define and drive the technical roadmap balancing feature development, tech debt, and operational improvements
• Mentor junior and mid-level engineers on system design, code quality, and production best practices
• Collaborate cross-functionally with product, infrastructure, and other engineering teams
• Execute agile development practices with incremental delivery and iteration based on feedback

Requirements

• 4-5+ years building and operating backend systems in production environments at scale
• B.E./B.Tech in Computer Science or equivalent practical experience
• Proven track record of owning significant components or services from inception to maturity
• Proven ability to create detailed technical designs including data structures, algorithms, API contracts, concurrency models, failure handling
• Expert-level proficiency in at least one modern language (Go, Python, Java, etc.)
• Deep hands-on experience with SQL and NoSQL databases including schema design, query optimization, indexing strategies, operational troubleshooting
• Extensive experience building, deploying, and operating microservices handling high throughput and large data volumes
• Strong background designing and running data processing pipelines at scale (batch and/or streaming)
• Expert understanding of metrics, logging, tracing, and alerting for observability
• Significant experience with incident response, on-call rotations, debugging live issues under pressure
• Hands-on experience managing infrastructure, understanding resource utilization, capacity planning
• Experience analyzing and optimizing infrastructure costs at scale
• Strong fundamentals in distributed systems, concurrency, consistency models, and failure scenarios
• Track record of taking full ownership from design through deployment to ongoing operations and improvements

Tech stack

Benefits