{"id":3570288,"url":"https://alion.io/job/zensar-technologies-analyst-ii-devops","title":"Analyst II, DevOps","company":{"id":59576,"name":"Zensar Technologies","domain":"zensar.com","url":"https://alion.io/company/zensar-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":93,"open_postings":53,"ghost_share":0.075,"stale_share":0.094,"repost_share":0.358,"time_to_fill_p50_days":6,"computed_at":"2026-11-04T06:34:25Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Belgrade, 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Artifactory","optional":false},{"name":"Kubernetes","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Splunk","optional":false},{"name":"Terraform","optional":false},{"name":"Windows","optional":false},{"name":"Zabbix","optional":false},{"name":"Agile","optional":true},{"name":"Confluence","optional":true},{"name":"Copilot","optional":true},{"name":"Jira","optional":true},{"name":"MS SQL","optional":true},{"name":"PostgreSQL","optional":true},{"name":"ServiceNow","optional":true}],"status":"live","first_seen_at":"2026-10-26T11:21:30Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-04T05:34:43Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Job Summary\nThe 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.\nThe 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.\nKey Responsibilities\nImprove and automate application deployment and release processes to streamline the SDLC, reduce manual activities, and increase release consistency and reliability.\nDeploy, configure, upgrade, and troubleshoot enterprise Java applications and supporting middleware, including Tomcat and ActiveMQ.\nSupport Linux and Windows environments across on-premise and cloud platforms.\nBuild and maintain deployment and configuration automation using Ansible, PowerShell, Shell, Python, or similar technologies.\nSupport Docker/Kubernetes environments and container-based application deployments.\nUse Infrastructure as Code and modern deployment orchestration tools such as Terraform and Harness to automate infrastructure provisioning, deployment workflows, and release processes across environments.\nDevelop and maintain CI/CD pipelines, source control, and artifact management using tools such as GitHub, Jenkins, GitHub Actions, and JFrog Artifactory.\nDesign and implement AI-enabled and agentic workflows to orchestrate and automate SDLC, deployment, release, and operational activities.\nIdentify opportunities to apply AI agents and workflow orchestration to reduce manual work and improve engineering efficiency.\nSupport application monitoring, troubleshooting, incident analysis, and platform stability using tools such as AppDynamics, Dynatrace, Grafana, Splunk, or Zabbix.\nCollaborate with Engineering, QA, and delivery teams on releases, environment readiness, upgrades, and technical troubleshooting.\nMaintain deployment documentation, automation scripts, runbooks, and installation procedures.\nRequired Skills & Experience\n5+ years of relevant experience in DevOps, infrastructure, application deployment, or application/production support.\nStrong hands-on knowledge of Linux and/or Windows environments.\nExperience deploying and supporting Java applications on Tomcat or similar application servers.\nHands-on experience with CI/CD and deployment automation.\nExperience with Ansible and/or scripting using PowerShell, Shell, Python, or similar technologies.\nWorking knowledge of Docker/Kubernetes.\nExperience with AWS, Azure, or comparable cloud environments.\nStrong troubleshooting, analytical, and problem-solving skills.\nGood communication skills and ability to collaborate across Engineering, QA, delivery, and other technical teams.\nNice to Have\nExperience designing or implementing AI/agentic workflows, AI-assisted engineering automation, or orchestration of AI agents within DevOps and SDLC processes.\nFamiliarity with GitHub Copilot or similar AI-assisted engineering tools.\nExperience with ActiveMQ and relational databases such as MSSQL, Oracle, or PostgreSQL.\nExperience with enterprise monitoring and observability platforms such as AppDynamics, Dynatrace, Grafana, Splunk, or Zabbix.\nKnowledge of security patching, vulnerability remediation, and enterprise release governance.\nExperience working in Agile environments using Jira, Confluence, ServiceNow, or similar tools.\nTypical Experience\nBachelor’s degree in Computer Science, Engineering, or equivalent practical experience.\n4+ years of relevant technical experience.\nExperience working in enterprise application environments and supporting business-critical software is preferred.\nKey Responsibilities\nImprove and automate application deployment and release processes to streamline the SDLC, reduce manual activities, and increase release consistency and reliability.\nDeploy, configure, upgrade, and troubleshoot enterprise Java applications and supporting middleware, including Tomcat and ActiveMQ.\nSupport Linux and Windows environments across on-premise and cloud platforms.\nBuild and maintain deployment and configuration automation using Ansible, PowerShell, Shell, Python, or similar technologies.\nSupport Docker/Kubernetes environments and container-based application deployments.\nUse Infrastructure as Code and modern deployment orchestration tools such as Terraform and Harness to automate infrastructure provisioning, deployment workflows, and release processes across environments.\nDevelop and maintain CI/CD pipelines, source control, and artifact management using tools such as GitHub, Jenkins, GitHub Actions, and JFrog Artifactory.\nDesign and implement AI-enabled and agentic workflows to orchestrate and automate SDLC, deployment, release, and operational activities.\nIdentify opportunities to apply AI agents and workflow orchestration to reduce manual work and improve engineering efficiency.\nSupport application monitoring, troubleshooting, incident analysis, and platform stability using tools such as AppDynamics, Dynatrace, Grafana, Splunk, or Zabbix.\nCollaborate with Engineering, QA, and delivery teams on releases, environment readiness, upgrades, and technical troubleshooting.\nMaintain deployment documentation, automation scripts, runbooks, and installation procedures.\nRequired Skills & Experience\n5+ years of relevant experience in DevOps, infrastructure, application deployment, or application/production support.\nStrong hands-on knowledge of Linux and/or Windows environments.\nExperience deploying and supporting Java applications on Tomcat or similar application servers.\nHands-on experience with CI/CD and deployment automation.\nExperience with Ansible and/or scripting using PowerShell, Shell, Python, or similar technologies.\nWorking knowledge of Docker/Kubernetes.\nExperience with AWS, Azure, or comparable cloud environments.\nStrong troubleshooting, analytical, and problem-solving skills.\nGood communication skills and ability to collaborate across Engineering, QA, delivery, and other technical teams.\nNice to Have\nExperience designing or implementing AI/agentic workflows, AI-assisted engineering automation, or orchestration of AI agents within DevOps and SDLC processes.\nFamiliarity with GitHub Copilot or similar AI-assisted engineering tools.\nExperience with ActiveMQ and relational databases such as MSSQL, Oracle, or PostgreSQL.\nExperience with enterprise monitoring and observability platforms such as AppDynamics, Dynatrace, Grafana, Splunk, or Zabbix.\nKnowledge of security patching, vulnerability remediation, and enterprise release governance.\nExperience working in Agile environments using Jira, Confluence, ServiceNow, or similar tools.\nTypical Experience\nBachelor’s degree in Computer Science, Engineering, or equivalent practical experience.\n4+ years of relevant technical experience.\nExperience working in enterprise application environments and supporting business-critical software is 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