InfoBeans Technologies - DevOps Engineer - Kubernetes/Docker

InfoBeans; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

InfoBeans is seeking an experienced DevOps Engineer to design and automate reliable CI/CD pipelines, manage Kubernetes/OpenShift, and maintain cloud-native infrastructure for scalable applications.

The role includes working with Java/Spring Boot apps, implementing AI-driven tooling for incident analysis, and collaborating with platform teams to improve deployment processes and production support.

Qualifications

• 5–10 years of experience in DevOps, SRE, or platform engineering.
• Hands-on experience with CI/CD, Kubernetes, and microservices.
• Experience with OpenShift or equivalent container orchestration.
• Working knowledge of Java/Spring Boot applications, deployment support.
• Experience with Generative AI and AI services.

Responsibilities

• Design, build, maintain, and optimize CI/CD pipelines.
• Manage and support Kubernetes/OpenShift environments.
• Support Java/Spring Boot applications in distributed/microservices setups.
• Improve reliability, availability, performance, and scalability.
• Monitor system health using logs, metrics, dashboards, and alerts.
• Participate in incident management and root-cause analysis.
• Automate deployment, infrastructure management, monitoring, and testing.
• Apply Generative AI and AI agents to incident analysis and automation.
• Integrate AI services (e.g., Azure OpenAI) with apps and tools.
• Collaborate with engineering/platform teams to improve deployment processes.
• Troubleshoot issues across Linux, JVMs, APIs, databases, and containers.
• Support REST API integrations and connectivity issues.
• Follow security and automation best practices.
• Maintain runbooks and deployment procedures.
• Identify opportunities to improve operational efficiency.

Skills

CI/CD

Kubernetes

Java/Spring Boot

Linux

AI/Gen AI

REST APIs

Monitoring

Git

OpenShift

Cloud

Tools

OpenShift

Git

CI/CD tooling

Azure OpenAI

Job description

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.

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)