SDE1

Position Overview We are looking for an autonomous, highly capable Backend Engineer (2–4 Years Experience) to accelerate the growth of our cloud-native microservices ecosystem. In this role, you will transition from just writing code to actively taking ownership of end-to-end feature delivery, designing domain-driven APIs, and optimizing system performance. You will work closely with senior architects to break down monolith architectures or build out new distributed modules, ensuring our systems remain scalable, fault-tolerant, and highly available. Key Responsibilities Module Ownership: Independently own the lifecycle of backend features—from scoping and architectural layout to implementation, automated testing, and production deployment. Microservices Development: Architect and implement high-throughput, loosely coupled microservices utilizing Java (11/17+) and Spring Boot . Database Optimization: Design scalable relational and non-relational database schemas. Write, analyze, and optimize complex queries, indexes, and transactions to eliminate system bottlenecks. Integration & Messaging: Implement asynchronous communications and event-driven patterns between microservices using message brokers. Code Quality & Mentorship: Champion clean code architectures (SOLID principles). Conduct thorough, constructive code reviews and mentor incoming junior engineers/interns on internal frameworks. Resilience & Testing: Maintain high test coverage by writing extensive unit, integration, and component tests. Participate in designing failover strategies (retries, circuit breakers). Required Technical Skills Core Java Mastery: Strong expertise in Java (Java 11 or 17 preference), including deep familiarity with Functional Programming (Streams/Lambdas), Concurrency/Multi-threading, and Memory Management. Spring Ecosystem Expertise: Advanced hands-on experience with Spring Boot , Spring Cloud (Eureka, Config Server, OpenFeign), Spring Security, and Spring Data JPA / Hibernate. Distributed Systems Foundations: Proven experience developing and maintaining production microservices. Practical understanding of distributed problems (e.g., distributed tracing, handling network timeouts, idempotent APIs). Data Management: Proficient with relational databases ( PostgreSQL / MySQL ) and a solid understanding of connection pooling and transaction propagation rules. CI/CD & DevOps Foundations: Familiarity with containerization ( Docker ) and deploying/debugging services in cloud environments. Preferred / Highly Value-Add Skills Hands-on experience with Event-Driven architectures using Apache Kafka , RabbitMQ , or AWS SQS. Exposure to NoSQL databases ( Redis, ) for caching and document storage. Experience tracking system health via Observability frameworks ( Prometheus, Grafana, ELK Stack, or OpenTelemetry ). Soft Skills & Behavioral Traits Autonomy: Ability to take a loosely defined product requirement, clarify ambiguities, map out tech requirements,…