Analyst II, DevOps

Job Summary The primary focus of this role is to support and improve the application deployment process through automation, CI/CD, and DevOps practices, streamlining the SDLC and making software releases faster, more consistent, and reliable. The role supports application deployment, configuration, platform automation, and cloud/container environments, while also exploring and implementing AI-enabled and agentic workflows to automate repetitive engineering and operational activities. Key Responsibilities • Improve and automate application deployment and release processes to streamline the SDLC, reduce manual activities, and increase release consistency and reliability. • Deploy, configure, upgrade, and troubleshoot enterprise Java applications and supporting middleware, including Tomcat and ActiveMQ. • Support Linux and Windows environments across on-premise and cloud platforms. • Build and maintain deployment and configuration automation using Ansible, PowerShell, Shell, Python, or similar technologies. • Support Docker/Kubernetes environments and container-based application deployments. • Use Infrastructure as Code and modern deployment orchestration tools such as Terraform and Harness to automate infrastructure provisioning, deployment workflows, and release processes across environments. • Develop and maintain CI/CD pipelines, source control, and artifact management using tools such as GitHub, Jenkins, GitHub Actions, and JFrog Artifactory. • Design and implement AI-enabled and agentic workflows to orchestrate and automate SDLC, deployment, release, and operational activities. • Identify opportunities to apply AI agents and workflow orchestration to reduce manual work and improve engineering efficiency. • Support application monitoring, troubleshooting, incident analysis, and platform stability using tools such as AppDynamics, Dynatrace, Grafana, Splunk, or Zabbix. • Collaborate with Engineering, QA, and delivery teams on releases, environment readiness, upgrades, and technical troubleshooting. • Maintain deployment documentation, automation scripts, runbooks, and installation procedures. Required Skills & Experience • 5+ years of relevant experience in DevOps, infrastructure, application deployment, or application/production support. • Strong hands-on knowledge of Linux and/or Windows environments. • Experience deploying and supporting Java applications on Tomcat or similar application servers. • Hands-on experience with CI/CD and deployment automation. • Experience with Ansible and/or scripting using PowerShell, Shell, Python, or similar technologies. • Working knowledge of Docker/Kubernetes. • Experience with AWS, Azure, or comparable cloud environments. • Strong troubleshooting, analytical, and problem-solving skills. • Good communication skills and ability to collaborate across Engineering, QA, delivery, and other technical teams. Nice to Have • Experience designing or implementing AI/agentic workflows, AI-assisted engineering automation, or orchestration of AI agents within DevOps and SDLC processes. • Familiarity with GitHub Copilot or similar AI-assisted engineering tools. • Experience with ActiveMQ and relational databases such as MSSQL, Oracle, or PostgreSQL. • Experience with enterprise monitoring and observability platforms such as AppDynamics, Dynatrace, Grafana, Splunk, or Zabbix. • Knowledge of security patching, vulnerability remediation, and enterprise release governance. • Experience working in Agile environments using Jira, Confluence, ServiceNow, or similar tools. Typical Experience • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. • 4+ years of relevant technical experience. • Experience working in enterprise application environments and supporting business-critical software is preferred. Required Skills & Experience • 5+ years of relevant experience in DevOps, infrastructure, application deployment, or application/production support. • Strong hands-on knowledge of Linux and/or Windows environments. • Experience deploying and supporting Java applications on Tomcat or similar application servers. • Hands-on experience with CI/CD and deployment automation. • Experience with Ansible and/or scripting using PowerShell, Shell, Python, or similar technologies. • Working knowledge of Docker/Kubernetes. • Experience with AWS, Azure, or comparable cloud environments. • Strong troubleshooting, analytical, and problem-solving skills. • Good communication skills and ability to collaborate across Engineering, QA, delivery, and other technical teams. Nice to Have • Experience designing or implementing AI/agentic workflows, AI-assisted engineering automation, or orchestration of AI agents within DevOps and SDLC processes. • Familiarity with GitHub Copilot or similar AI-assisted engineering tools. • Experience with ActiveMQ and relational databases such as MSSQL, Oracle, or PostgreSQL. • Experience with enterprise monitoring and observability platforms such as AppDynamics, Dynatrace, Grafana, Splunk, or Zabbix. • Knowledge of security patching, vulnerability remediation, and enterprise release governance. • Experience working in Agile environments using Jira, Confluence, ServiceNow, or similar tools. Typical Experience • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. • 4+ years of relevant technical experience. • Experience working in enterprise application environments and supporting business-critical software is preferred.