Development Engineer - Mid Ops Java + AI
Experience: 5-9 years
Location: Bengaluru
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 (good to have).
-> Leverage AI coding assistants for development and utilize them to generate better quality of output.
-> Support integration of AI or automation driven components into the backend systems.
-> Ensure AI-enabled components operate within defined reliability and safety boundaries.
-> AI exposure is valued, but distributed systems engineering remains the primary focus of this role.
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.
-> Use production data and metrics to continuously improve system reliability and performance.
-> Participate in code reviews, technical discussions, and architectural decisions.
-> Support and mentor team members, contributing to overall engineering excellence.
-> Explore opportunities to integrate automation or AI-driven enhancements where applicable
Pay: ₹1,000,000.00 - ₹2,000,000.00 per year
Work Location: In person
