Job Description:

We are looking for an experienced DevOps Engineer with expertise in CI/CD, Kubernetes, cloud-native infrastructure, and application reliability, along with hands-on exposure to Java/Spring Boot and Generative AI. The role involves automating deployment and operational workflows, supporting distributed applications, improving system reliability and performance, and leveraging AI-driven solutions to enhance troubleshooting and engineering productivity.

Key Responsibilities:

- Design, build, maintain, and optimize CI/CD pipelines to enable reliable and automated software delivery.

- Manage and support Kubernetes/OpenShift environments, including deployments, configuration, scaling, monitoring, and troubleshooting.

- Support and troubleshoot Java/Spring Boot applications running in distributed and microservices-based environments.

- Improve application and infrastructure reliability, availability, performance, and scalability through DevOps and SRE practices.

- Monitor system health using logs, metrics, dashboards, alerts, and observability tools.

- Participate in incident management, root-cause analysis, problem management, and operational improvement initiatives.

- Automate deployment, infrastructure management, monitoring, testing, and repetitive operational tasks.

- Apply Generative AI, LLMs, and AI agents to support incident analysis, troubleshooting, monitoring, test automation, and operational workflows.

- Integrate AI services such as Azure OpenAI with existing applications and operational tools through APIs.

- Work with engineering and platform teams to improve application deployment, release management, and production support processes.

- Troubleshoot issues across Linux environments, application services, APIs, JVMs, databases, and containerized infrastructure.

- Support microservices and REST API integrations, including debugging connectivity, configuration, and performance issues.

- Follow security, reliability, automation, and infrastructure management best practices.

- Maintain technical documentation, runbooks, deployment procedures, and incident-resolution guides.

- Identify opportunities to improve operational efficiency through platform engineering, automation, and AI-assisted workflows.

Required Skills & Experience:

- 5 - 10 years of experience in DevOps, Site Reliability Engineering (SRE), platform engineering, or infrastructure automation.

- Strong hands-on experience with CI/CD pipelines, Kubernetes, and microservices.

- Experience with OpenShift or equivalent container orchestration platforms.

- Working knowledge of Java and Spring Boot applications, including application troubleshooting and deployment support.

- Strong understanding of Linux administration, shell scripting, and system troubleshooting.

- Good knowledge of REST APIs, SQL, JVM fundamentals, application logs, monitoring, and distributed systems.

- Experience with infrastructure and application monitoring, incident management, and root-cause analysis.

- Practical exposure to Generative AI, LLMs, Azure OpenAI, or AI agents.

- Experience integrating APIs and automating workflows using AI services or other external platforms.

- Strong understanding of application reliability, performance optimization, scalability, and production operations.

- Familiarity with Git, automated testing, deployment strategies, and secure DevOps practices.

- Strong analytical, troubleshooting, and problem-solving skills.

- Good communication and collaboration skills, with the ability to work across DevOps, Development, QA, and platform teams.