Senior Java Software Engineer

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Java (11/17+), Spring Boot, and Microservices architecture.

• Develop secure, high-performance REST APIs and integrations with internal and external systems.

• Design and implement event-driven solutions using Kafka, RabbitMQ, or similar messaging platforms.

• Build and optimize data solutions using SQL and NoSQL databases (PostgreSQL, Oracle, MongoDB, Redis, etc.).

• Collaborate with architects and cross-functional teams to deliver resilient, cloud-native applications.

• Implement automated testing, code quality, and CI/CD practices using tools such as JUnit, Mockito, Jenkins, GitHub Actions, or GitLab CI.

• Deploy and manage applications on Kubernetes, OpenShift, Docker, and public cloud platforms (AWS/Azure/GCP).

• Own production releases, deployment planning, validation, rollback strategies, and change management activities.

• Participate in on-call rotations and provide 24x7 support for critical production systems.

• Lead troubleshooting and resolution of production incidents, including Sev1/Sev2 incidents, ensuring SLA compliance.

• Perform root cause analysis (RCA), post-incident reviews, and drive preventive measures to improve system reliability.

• Monitor application health and performance using observability tools such as Splunk, Grafana, Prometheus, Dynatrace, ELK, or AppDynamics.

• Optimize application scalability, performance, availability, and security across distributed environments.

• Conduct code reviews, mentor junior developers, and promote engineering best practices.

• Contribute to technical documentation, operational runbooks, architecture reviews, and continuous improvement initiatives.

Required Skills

• 8+ years of Java backend development experience.

• Strong expertise in Java, Spring Boot, Spring Data JPA, Hibernate, and Microservices.

• Experience with Kafka/RabbitMQ, REST APIs, Docker, Kubernetes/OpenShift.

• Strong knowledge of SQL/NoSQL databases and distributed systems.

• Hands-on experience with cloud platforms (AWS, Azure, or GCP).

• Experience managing production deployments, incident handling, and on-call support.

• Familiarity with monitoring, logging, and observability tools.

• Strong understanding of CI/CD, DevOps practices, and Agile delivery methodologies.