Lead Backend Engineer

Relanto; Bengaluru; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Relanto is seeking a Backend Engineer / Lead Backend Engineer in Bangalore (Hybrid) with 6+ years of experience. The role emphasizes building production-grade backend services, scalable architectures, and high-availability systems.

You will work on REST/gRPC APIs, data modeling, and distributed system design, with a focus on performance, reliability, and observability. The ideal candidate will lead backend initiatives, drive architecture decisions, and collaborate with cross-functional teams to

Qualifications

• Backend Engineer: 5+ years hands-on experience designing, developing, deploying, and maintaining production-grade backend services.
• Lead Backend Engineer: 10+ years of software engineering with ownership of backend architecture and scalable systems.
• Experience with distributed, high-availability backend systems in production.

Skills

Python

Object-oriented programming

Functional programming

Design patterns

Clean code

Testing

WSGI/ASGI

REST API design

gRPC

API versioning

Authentication & Authorization

Rate limiting

Security

SQL

Data modeling

NoSQL

Snowflake

DynamoDB

Distributed systems

Caching

Asynchronous processing

Event-driven architecture

Load testing

Observability

Logging

Job description

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.
• - Strong 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.