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.

Responsibilities

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.

Qualifications

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.

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

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We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.