Software Development Engineer - Backend Architecture

Tech Stack:

Java, Kafka, AI, Microservices, Rest API, MongoDB, SQL/NoSQL, PostgreSQL, Distributed Systems

Role overview:

• Strong expertise in Java (Spring Boot) and working knowledge of Kotlin for building scalable backend services.

• Deep understanding of distributed systems design, including scalability, fault tolerance, and eventual consistency.

• Hands-on experience with microservices architecture and event-driven systems using messaging platforms like Kafka.

• Proficiency in working with both relational databases (PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra, Redis), including data modeling and performance optimization.

• Experience with API design, service contracts, and building high-throughput, low-latency services.

• Familiarity with cloud-native development in environments like AWS, GCP, or Azure.

• Strong experience in containerization (Docker) and orchestration tools like Kubernetes.

• Knowledge of CI/CD pipelines, automated testing, and deployment strategies (blue-green, canary releases).

• Understanding of observability practices, including logging, monitoring, and distributed tracing.

• Exposure to search technologies like ElasticSearch.

• Solid foundation in data structures, algorithms, and problem-solving.

• Working knowledge of secure coding practices, authentication/authorization mechanisms.

• Exposure to AI-assisted development tools and basic understanding of integrating AI-driven components.

What would you do here:

• Design and build scalable, reliable backend systems that power core enterprise platforms.

• Develop and maintain microservices and event-driven architectures, ensuring systems are loosely coupled and highly available.

• Take ownership of end-to-end system development, from design to deployment and production support.

• Ensure systems are production-ready by implementing strong observability, monitoring, and alerting mechanisms.

• Optimize system performance by improving latency, throughput, and resource utilization.

• Collaborate with cross-functional teams to define APIs, service contracts, and data models.

• Implement resilience patterns such as retries, circuit breakers, and graceful degradation.

• Contribute to and improve CI/CD pipelines and deployment processes for faster and safer releases.

• Write clean, maintainable, and well-tested code, following best engineering practices.