Position: Backend Engineer / Lead Backend Engineer

Location: Bangalore (Hybrid)

Experience: 6+ Years

- Backend Engineer: 5+ years of hands-on experience designing, developing, deploying, and maintaining production-grade backend services at scale.
- Lead Backend Engineer: 10+ years of software engineering experience, with demonstrated ownership of backend architecture, technical leadership, and development of highly scalable and reliable systems.
- Robust experience working on distributed, high-availability backend systems in production environments.

Core Technical Skills Python &

- Backend Development

- Expert-level proficiency in Python for server-side application development.
- Strong understanding of object-oriented and functional programming concepts, clean code principles, design patterns, and writing maintainable, testable production code.
- Hands-on experience with at least one modern Python web or asynchronous framework such as FastAPI, aiohttp, Flask, or equivalent.
- Strong understanding of WSGI and ASGI application models and their implications for synchronous and asynchronous workloads.
- Experience developing scalable, modular backend services and integrating them with internal and external systems.

Service &

- API Design

- Strong experience designing and implementing production-grade REST APIs and/or gRPC services.
- Understanding of different API communication patterns, including:
- Request/response APIs
- Streaming and asynchronous communication
- Pagination and filtering
- API versioning
- Idempotency and safe retry mechanisms
- Authentication and authorization

- Ability to design clear, consistent, and backward-compatible API contracts.




- Experience evolving APIs and services without disrupting existing consumers or dependent systems.
- Strong understanding of API performance, scalability, security, and reliability considerations.

Database &

- Data Layer

- Strong proficiency in SQL, relational database concepts, and data modeling.
- Experience designing efficient schemas and optimizing complex queries.
- Strong understanding of:
- Database indexing and query optimization
- Transactions and transaction isolation
- Connection pooling
- Concurrency and consistency
- Data integrity and schema evolution

- Hands-on experience working with multiple types of data stores, including:

- Relational databases
- Cloud data warehouses such as Snowflake
- NoSQL/key-value databases such as DynamoDB

- Ability to select appropriate storage technologies based on scalability, consistency, latency, and workload requirements.

Backend Architecture &

- Distributed Systems

- Strong understanding of common server-side and distributed-system design patterns.
- Experience implementing caching strategies to improve application performance and reduce database load.
- Hands-on experience with background jobs, workers, queues, and asynchronous processing.
- Experience designing and implementing event-driven architectures and processing systems.
- Strong understanding of:
- Rate limiting and throttling




- Retries and exponential backoff
- Request and service timeouts
- Circuit-breaking and failure-handling patterns
- Message processing and delivery guarantees

- Ability to identify bottlenecks and design systems that remain reliable under increasing load.

Performance &

- Reliability

- Strong experience troubleshooting and optimizing backend application performance.
- Experience with profiling, benchmarking, load testing, and performance analysis.
- Ability to evaluate and balance latency, throughput, resource utilization, and scalability.
- Experience designing systems for high availability and resilience.
- Strong understanding of graceful degradation and failure-handling strategies.
- Ability to anticipate failure scenarios and design services that remain stable when dependencies, infrastructure, or individual components fail.
- Experience diagnosing and resolving performance and reliability issues in live production environments.

Observability &

- Production Operations

- Strong experience implementing and using modern observability practices, including:
- Structured logging
- Application and infrastructure metrics
- Distributed tracing
- Monitoring and alerting

- Ability to use observability data to identify root causes of production issues.
- Experience debugging complex issues across distributed services and dependencies.
- Comfortable investigating and resolving live production incidents, performance degradation, service failures, and unexpected application behavior.
- Strong understanding of production readiness, monitoring, alerting, incident response, and operational best practices.

📌 Lead Backend Engineer (Bengaluru)
🏢 Relanto
📍 Bengaluru