Experience: 3–6 Years
Role Overview
We are looking for a Senior Backend Engineer with strong fundamentals in backend
engineering, system design, databases, scalability, and production-grade application
architecture.
The primary focus for this role is not limited to expertise in a specific programming language.
The candidate may come from a background in Golang, Node.js, Java, Rust, Python, or any similar backend technology. What matters most is strong conceptual clarity, the ability to design
scalable systems, and experience in building reliable backend services for real-world production workloads.
The candidate should be comfortable working on high-throughput systems, database design, distributed services, deployment environments, and cross-cutting engineering concerns such as observability, memory management, performance optimisation, and cloud-native deployment.
Key Responsibilities
● Design, build, and maintain scalable backend services and APIs.
● Participate in system design discussions for new features, services, and platform
components.
● Design efficient database schemas, indexes, and data access patterns based on
application requirements.
● Optimise backend systems for high TPS, low latency, and reliable performance under
load.
● Work on distributed system concerns such as retries, idempotency, rate limiting, caching,
queues, and fault tolerance.
● Collaborate with frontend, DevOps, QA, and product teams to deliver production-ready
solutions.
● Understand and contribute to deployment practices, especially around
Kubernetes/EKS-based environments.
● Debug and resolve production issues related to performance, memory usage, database
bottlenecks, and service reliability.
● Implement observability practices including structured logging, metrics, tracing, and
alerting.
● Write clean, maintainable, and well-structured backend code in the chosen technology
stack.
Required Skills
● Strong backend engineering fundamentals.
● Good understanding of system design concepts for scalable and reliable applications.
● Hands-on experience with at least one backend language such as Golang, Node.js,
Java, Rust, Python, or similar.
● Strong understanding of REST APIs, service design, authentication, authorization, and
API security.
● Good knowledge of database design, indexing, query optimisation, transactions, and
data consistency.
● Experience with SQL databases such as PostgreSQL, MySQL, or similar.
● Understanding of NoSQL databases, caching systems, and when to use them.
● Experience working with Redis or similar caching technologies.
● Understanding of message queues, event-driven architecture, asynchronous processing,
and background jobs.
● Ability to reason about memory management, garbage collection, concurrency, and
runtime behaviour.
● Experience debugging performance issues in backend systems.
● Good understanding of high TPS systems, load testing, horizontal scaling, and
bottleneck analysis.
● Familiarity with containerisation using Docker.
● Working understanding of Kubernetes-based deployments, preferably EKS.
● Understanding of CI/CD pipelines and cloud deployment practices.
● Good communication skills and ability to explain technical decisions clearly.
Good to Have Skills
● Experience with microservices architecture.
● Experience with AWS services, especially EKS, RDS, SQS, CloudWatch, ElastiCache,
API Gateway, or Lambda.
● Understanding observability tools such as Prometheus, Grafana, Loki, Tempo,
OpenTelemetry, or similar.
● Experience with distributed tracing and production monitoring.
● Experience with event streaming platforms such as Kafka.
● Knowledge of security best practices around JWT, OAuth2, RBAC, secrets management,
and secure API design.
● Experience designing systems for high availability and fault tolerance.
● Exposure to infrastructure-as-code tools such as Terraform or CloudFormation.
● Experience mentoring junior engineers or reviewing technical designs.
Expected System Design Knowledge
The candidate should be comfortable discussing and designing systems involving:
● API Gateway and backend service architecture.
● Load balancing and horizontal scaling.
● Database schema design and query optimisation.
● Caching strategy and cache invalidation.
● Queues, retries, dead letter queues, and async workers.
● Rate limiting and throttling.
● Idempotency and duplicate request handling.
● Observability, logging, metrics, and tracing.
● Deployment architecture on Kubernetes/EKS.
● Memory optimization and runtime performance.
● Handling high TPS and peak traffic scenarios.
● Designing systems with reliability, maintainability, and scalability in mind.
Candidate Evaluation Focus
While coding ability is important, the main evaluation focus should be on:
● Backend concepts and fundamentals.
● System design clarity.
● Database design and optimisation.
● Ability to debug performance and scaling issues.
● Understanding of production deployment and cloud-native systems.
● Problem-solving approach.
● Ability to explain trade-offs clearly.
● Practical experience with real-world backend systems.
Pay: Up to ₹1,400,000.00 per year
Application Question(s):
- Current CTC ?
- Notice Period ?
- Expected CTC ?
Experience:
- Back-end development: 4 years (Required)
- Golang: 4 years (Required)
- Python: 4 years (Required)
- Rust (programming language): 4 years (Required)
- Java: 4 years (Required)
- Node.js: 4 years (Required)
Work Location: In person
