Role Mission:

The Senior DevOps Engineer will be involved in the end-to-end delivery lifecycle including solution design, application development, QC testing, CI/CD automation and continuous optimization of cloud-native platforms. The candidate will need to manage Kubernetes operations, infrastructure provisioning and software upgrades to ensure systems remain reliable, secure and scalable. The candidate will be working in a team in routine on-call rotations to support day-to-day operations, incident resolution, customer care and defect fixes.

Key Responsibilities

• Design and Development:

• Design, develop, and maintain robust, scalable, and resilient microservices using Java, Spring Boot and related frameworks.
• Hands-on experience with Apache Camel and its core Enterprise Integration Patterns (EIPs).
• Implement RESTful APIs and ensure services meet performance, security, and stability requirements.
• Write clean, well-tested, and efficient code following best practices and design patterns.

• Containerization and Deployment:

• Develop and manage services deployed on OpenShift/Kubernetes, including defining Dockerfiles and Kubernetes resource configurations (Deployments, Services, ConfigMaps, etc.).
• Work with CI/CD pipelines (e.g., Jenkins) for automated build, test, and deployment.
• Monitor and troubleshoot services running in the OpenShift environment.

• Architecture and Data:

• Contribute to the architectural design of microservices, focusing on principles like loose coupling, high cohesion, and fault tolerance.
• Implement various data persistence technologies, including relational (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis).
• Integrate services using messaging systems (e.g., Red Hat AMQ) where required.

• Collaboration and Quality:

• Perform code reviews to maintain code quality and share knowledge within the team.
• Ensure compliance with security standards and industry regulations by performing security vulnerability scans (SAST, DAST, SCA) and disaster recovery exercise.
• Support on-call duty on shift rotation and handle production incident and root cause analysis with minimal supervision.

• Knowledge Management:

• Build technical documentation from scratch, maintaining working documents on architecture overviews, API specifications and system integrations.
• Create and maintain operational runbooks to support the team and internal stakeholders.

• AI Competency:

• Familiar with or have experience in agentic SDLC with competencies in prompt and context engineering, agent orchestration and supervision, and AI assisted delivery.
• Automate data gathering, pattern finding, auto fixing or self-healing with anomaly detection and analysis.