About the Role

Reporting to the Software Engineering Manager, the role holder will lead the design and development of robust, scalable, and high-performance backend systems. The ideal candidate should have hands-on expertise in Java Spring Boot, microservices architecture, and deep experience with database design, systems integration, and DevOps automation. Experience in deploying applications to both cloud and on-premise environments is essential.

Key Responsibilities

• Design, develop, and maintain backend services and APIs using Java Spring Boot
• Architect and implement scalable microservices and event-driven systems.
• Integrate with internal and third-party systems using REST, SOAP, gRPC, and message queues.
• Drive performance tuning, security hardening, and scalability improvements.
• Implement DevOps best practices including CI/CD pipelines, infrastructure as code, and monitoring.
• Work across cloud and on-premise environments ensuring reliability and availability.
• Collaborate with front-end engineers, DevOps, QA, and product teams to deliver full-stack solutions.
• Own the full software development lifecycle from planning to production support.
• Mentor junior engineers and perform code reviews.

Who We’re Looking For

Essential Knowledge/Skills and Experience Required:

• Bachelor’s Degree in Computer Science, Software Engineering or in a related field.
• Minimum of 4 years of experience in backend development with strong command of Java Spring Boot.
• Solid understanding and hands-on experience with microservices architecture.
• Experience integrating diverse systems and APIs in enterprise environments.
• Deep knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis).
• Proficient in designing and optimizing database schemas, queries, and transactions.
• Familiarity with CI/CD pipelines and container orchestration (e.g., Kubernetes).
• Experience deploying and supporting applications in AWS or Azure and on-premise infrastructure.
• Strong grasp of security, logging, monitoring, and API management.
• Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
• Experience with event-driven architecture (e.g., Kafka, RabbitMQ, or MQTT).
• Knowledge of API gateways and Service Load balancing.

Desirable Competencies:

• Familiarity with domain-driven design (DDD) and test-driven development (TDD).
• Exposure to observability tools like Prometheus, Grafana, ELK Stack, or Datadog.
• Certification in cloud platforms (AWS/Azure/GCP) is a plus.

• Design, develop, and maintain backend services and APIs using Java Spring Boot
• Architect and implement scalable microservices and event-driven systems.
• Integrate with internal and third-party systems using REST, SOAP, gRPC, and message queues.
• Drive performance tuning, security hardening, and scalability improvements.
• Implement DevOps best practices including CI/CD pipelines, infrastructure as code, and monitoring.
• Work across cloud and on-premise environments ensuring reliability and availability.
• Collaborate with front-end engineers, DevOps, QA, and product teams to deliver full-stack solutions.
• Own the full software development lifecycle from planning to production support.
• Mentor junior engineers and perform code reviews.

• Java Spring Boot
• Microservices architecture
• Database design
• Systems integration
• DevOps automation
• Cloud deployment (AWS/Azure)
• On-premise deployment
• REST
• SOAP
• gRPC
• Message queues
• CI/CD pipelines
• Infrastructure as code
• Monitoring
• Security hardening
• API management
• Event-driven architecture (Kafka, RabbitMQ, MQTT)
• API gateways
• Service Load balancing
• Domain-driven design (DDD)
• Test-driven development (TDD)
• Observability tools (Prometheus, Grafana, ELK Stack, Datadog)

• Bachelor’s Degree in Computer Science, Software Engineering or in a related field.
• Minimum of 4 years of experience in backend development
• Solid understanding and hands-on experience with microservices architecture.
• Experience integrating diverse systems and APIs in enterprise environments.
• Deep knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis).
• Proficient in designing and optimizing database schemas, queries, and transactions.
• Familiarity with CI/CD pipelines and container orchestration (e.g., Kubernetes).
• Experience deploying and supporting applications in AWS or Azure and on-premise infrastructure.
• Strong grasp of security, logging, monitoring, and API management.
• Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
• Experience with event-driven architecture (e.g., Kafka, RabbitMQ, or MQTT).
• Knowledge of API gateways and Service Load balancing.
• Familiarity with domain-driven design (DDD) and test-driven development (TDD).
• Exposure to observability tools like Prometheus, Grafana, ELK Stack, or Datadog.
• Certification in cloud platforms (AWS/Azure/GCP) is a plus.