Senior Backend Engineer (Go)

Senior Backend Engineer (Go)
Location: Bengaluru, India (Hybrid)
Experience: 5+ years

About the Role:
We are looking for a Senior Backend Engineer with deep Go expertise to join our engineering team. You will work across three interconnected areas: building reliable data pipelines and IoT ingestion systems, designing and securing API services that power our platform, and contributing to the cloud infrastructure tooling that keeps everything running.
This is a role for engineers who care about correctness, performance, and maintainability — and who want their work to have real-world impact on open data infrastructure.

Responsibilities:
Design, build, and maintain high-throughput Go services and data ingestion pipelines
Build secure, well-documented APIs using standard authentication and authorization protocols
Deploy, configure, and operate services in cloud and container environments
Own database schema design, query optimization, and migration strategies
Apply appropriate caching and messaging patterns to meet reliability and latency requirements
Write clean, well-tested code — unit tests, integration tests, and contract tests where applicable
Uphold strong source control practices: meaningful commits, disciplined branching, and thorough pull request reviews
Contribute to CI/CD pipelines and shared developer tooling
Participate in architecture reviews, technical planning, and cross-team design discussions
Support and mentor engineers through code review and knowledge sharing

Required Qualifications:
5+ years writing production-grade Go, with a solid grasp of concurrency patterns, idiomatic design, and performance characteristics
Strong understanding of distributed systems: scalability, consistency trade-offs, and fault tolerance
Hands-on experience deploying and operating containerized services in cloud environments (container orchestration, managed cloud platforms)
Relational database design and optimization — schema modelling, indexing, and query analysis
Familiarity with identity and access management standards (token-based auth, delegated authorization flows)
Experience using in-memory data stores for caching, session state, or pub/sub messaging
Disciplined approach to software quality: testing at multiple levels, static analysis, and clear code review feedback
Comfortable working on Linux systems with containerization and infrastructure-as-code tooling
Familiar with 12-factor app principles and the operational concerns of cloud-native services

Nice to Have
Experience building or operating IoT data pipelines or time-series workloads
Familiarity with message brokers or event streaming systems for asynchronous processing
Observability practices: structured logging, metrics instrumentation, and distributed tracing
Contributions to open-source projects or experience with open data / data exchange platforms
Prior involvement in defining engineering standards, runbooks, or internal documentation