InfoBeans Technologies - DevOps Engineer - Kubernetes/Docker

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.
(ref:hirist.tech)

Work arrangement
No