{"id":3267857,"url":"https://alion.io/job/siemens-healthineers-devops-engineer-developer-ux","title":"DevOps Engineer – Developer UX","company":{"id":20165,"name":"Siemens Healthineers","domain":"siemens-healthineers.com","url":"https://alion.io/company/siemens-healthineers","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":100,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-11-02T06:13:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":32000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":30},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bash","optional":false},{"name":"Bicep","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"MLFlow","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Windows","optional":false},{"name":"Agile","optional":true},{"name":"AIOps","optional":true},{"name":"ArgoCD","optional":true},{"name":"Backstage","optional":true},{"name":"GitOps","optional":true}],"status":"live","first_seen_at":"2026-10-26T10:19:41Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-02T09:44:08Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Job RequirementsPosition Summary\nWe are seeking a passionate and motivated DevOps Engineer with exposure to Developer Experience, AI, and Cloud Technologies to join our growing team. This role is ideal for professionals with 3+ years of experience in DevOps, Cloud Infrastructure, Platform Engineering, or Site Reliability Engineering (SRE) who are looking to expand their expertise in AI infrastructure, automation, and cloud-native technologies.\nThe successful candidate will shape the developer experience of our cloud infrastructure and deployment tools by driving automation and seamless self-service provisioning, so development teams can use our environments and tools to deploy their services quickly, reliably, and with minimal manual effort.\nKey Responsibilities\nDeveloper Experience & Self-Service\nTreat our cloud environments and deployment tools as internal products: understand the needs of development teams, collect feedback, and continuously improve usability.\nDesign and build self-service capabilities (e.g., templates, golden paths, portals, CLIs) that let teams using and provision environments and deploy services on demand without manual handoffs.\nReduce friction and onboarding time by standardizing workflows, removing manual steps, and providing sensible defaults.\nCreate and maintain clear, developer-friendly documentation, examples, and onboarding guides.\nMeasure and improve developer experience using metrics such as time-to-first-deployment, provisioning lead time, and user satisfaction.\nCloud Infrastructure & Platform Operations\nDesign, deploy, and maintain cloud infrastructure on Azure or AWS.\nOperate Kubernetes and container platforms for application and AI workloads.\nAutomate infrastructure provisioning with Infrastructure as Code (IaC).\nBuild and maintain Helm charts for application deployments.\nTroubleshoot infrastructure, networking, and deployment issues.\nDevOps & Automation\nBuild and maintain CI/CD pipelines with Azure DevOps, GitHub Actions, or similar tools.\nAutomate operational tasks with PowerShell and C#.\nDrive release management, deployment automation, and environment provisioning.\nUse AI-powered tools to increase operational efficiency.\nAI & MLOps Support\nDeploy and monitor AI/ML applications and services.\nMaintain MLOps workflows with Azure ML, MLflow, or Kubeflow.\nMonitor performance of AI workloads and their infrastructure.\nMonitoring & Reliability\nImplement monitoring and alerting with Prometheus, Grafana, ELK Stack, or cloud-native tools.\nResolve incidents, run root cause analyses, and optimize performance.\nImprove system reliability, scalability, and availability.\nRequired Technical Skills\nDeveloper Experience & Platform Engineering\nExperience building self-service tooling for development teams, such as templates, golden paths, CLIs or portals.\nProduct mindset: you understand developer needs, gather feedback and keep improving usability.\nYou write clear documentation and onboarding guides for developers.\nExperience measuring developer experience with DORA metrics, lead times or developer satisfaction.\nCloud Platforms\nHands-on experience with at least one cloud platform: Microsoft Azure (preferred), AWS or GCP.\nContainers & Orchestration\nDocker\nKubernetes (basic to intermediate)\nHelm, including building reusable charts for teams to use\nInfrastructure as Code\nTerraform and/or ARM Templates / Bicep, including building reusable modules\nAnsible (basic knowledge)\nProgramming & Scripting\nPython, PowerShell, Bash, C#\nExperience automating workflows and building developer tools\nCI/CD & Version Control\nAzure DevOps and/or GitHub Actions\nGit-based workflows\nMonitoring & Logging\nPrometheus, Grafana, ELK Stack, Azure Monitor or similar tools\nOperating systems\nLinux\nWindows\nPreferred Qualifications\nBachelor's degree in Computer Science, IT, Engineering, or a related field.\n3+ years in DevOps, Platform Engineering, Cloud/Infrastructure Engineering, or SRE, ideally focused on developer tooling or internal platforms.\nExperience building self-service tooling that makes provisioning and deployment easy for developers.\nDeveloper-focused mindset, with strong communication and documentation skills.\nHands-on experience with Docker and Kubernetes.\nSolid understanding of CI/CD and deployment automation.\nFamiliarity with Infrastructure as Code.\nBasic knowledge of AI/ML deployment and MLOps.\nKnowledge of cloud security and networking basics.\nExperience working in Agile teams.\nAzure, AWS, Kubernetes, or Terraform certifications are a plus.\nNice-to-Have Skills\nExperience with internal developer platforms such as Backstage or Port.\nKnowledge of GitOps practices, such as Argo CD or Flux.\nUse of AI coding assistants and AI-assisted operations (AIOps) to boost developer productivity.\nExposure to Azure ML, Kubeflow or MLflow.\nExperience with container security and vulnerability management.\nFamiliarity with distributed systems and microservices architectures.\nBenefits\nDevOps Engineer - Developer UX\nLocation: Bengaluru, India\nExperience: 3-5 Years\nPosition Summary\nWe are seeking a passionate and motivated DevOps Engineer with exposure to Developer Experience, AI, and Cloud Technologies to join our growing team. This role is ideal for professionals with 3+ years of experience in DevOps, Cloud Infrastructure, Platform Engineering, or Site Reliability Engineering (SRE) who are looking to expand their expertise in AI infrastructure, automation, and cloud-native technologies.\nThe successful candidate will shape the developer experience of our cloud infrastructure and deployment tools by driving automation and seamless self-service provisioning, so development teams can use our environments and tools to deploy their services quickly, reliably, and with minimal manual effort.\nKey Responsibilities\nDeveloper Experience & Self-Service\nTreat our cloud environments and deployment tools as internal products: understand the needs of development teams, collect feedback, and continuously improve usability.\nDesign and build self-service capabilities (e.g., templates, golden paths, portals, CLIs) that let teams using and provision environments and deploy services on demand without manual handoffs.\nReduce friction and onboarding time by standardizing workflows, removing manual steps, and providing sensible defaults.\nCreate and maintain clear, developer-friendly documentation, examples, and onboarding guides.\nMeasure and improve developer experience using metrics such as time-to-first-deployment, provisioning lead time, and user satisfaction.\nCloud Infrastructure & Platform Operations\nDesign, deploy, and maintain cloud infrastructure on Azure or AWS.\nOperate Kubernetes and container platforms for application and AI workloads.\nAutomate infrastructure provisioning with Infrastructure as Code (IaC).\nBuild and maintain Helm charts for application deployments.\nTroubleshoot infrastructure, networking, and deployment issues.\nDevOps & Automation\nBuild and maintain CI/CD pipelines with Azure DevOps, GitHub Actions, or similar tools.\nAutomate operational tasks with PowerShell and C#.\nDrive release management, deployment automation, and environment provisioning.\nUse AI-powered tools to increase operational efficiency.\nAI & MLOps Support\nDeploy and monitor AI/ML applications and services.\nMaintain MLOps workflows with Azure ML, MLflow, or Kubeflow.\nMonitor performance of AI workloads and their infrastructure.\nMonitoring & Reliability\nImplement monitoring and alerting with Prometheus, Grafana, ELK Stack, or cloud-native tools.\nResolve incidents, run root cause analyses, and optimize performance.\nImprove system reliability, scalability, and availability.\nRequired Technical Skills\nDeveloper Experience & Platform Engineering\nExperience building self-service tooling for development teams, such as templates, golden paths, CLIs or portals.\nProduct mindset: you understand developer needs, gather feedback and keep improving usability.\nYou write clear documentation and onboarding guides for developers.\nExperience measuring developer experience with DORA metrics, lead times or developer satisfaction.\nCloud Platforms\nHands-on experience with at least one cloud platform: Microsoft Azure (preferred), AWS or GCP.\nContainers & Orchestration\nDocker\nKubernetes (basic to intermediate)\nHelm, including building reusable charts for teams to use\nInfrastructure as Code\nTerraform and/or ARM Templates / Bicep, including building reusable modules\nAnsible (basic knowledge)\nProgramming & Scripting\nPython, PowerShell, Bash, C#\nExperience automating workflows and building developer tools\nCI/CD & Version Control\nAzure DevOps and/or GitHub Actions\nGit-based workflows\nMonitoring & Logging\nPrometheus, Grafana, ELK Stack, Azure Monitor or similar tools\nOperating systems\nLinux\nWindows\nPreferred Qualifications\nBachelor's degree in Computer Science, IT, Engineering, or a related field.\n3+ years in DevOps, Platform Engineering, Cloud/Infrastructure Engineering, or SRE, ideally focused on developer tooling or internal platforms.\nExperience building self-service tooling that makes provisioning and deployment easy for developers.\nDeveloper-focused mindset, with strong communication and documentation skills.\nHands-on experience with Docker and Kubernetes.\nSolid understanding of CI/CD and deployment automation.\nFamiliarity with Infrastructure as Code.\nBasic knowledge of AI/ML deployment and MLOps.\nKnowledge of cloud security and networking basics.\nExperience working in Agile teams.\nAzure, AWS, Kubernetes, or Terraform certifications are a plus.\nNice-to-Have Skills\nExperience with internal developer platforms such as Backstage or Port.\nKnowledge of GitOps practices, such as Argo CD or Flux.\nUse of AI coding assistants and AI-assisted operations (AIOps) to boost developer productivity.\nExposure to Azure ML, Kubeflow or MLflow.\nExperience with container security and vulnerability management.\nFamiliarity with distributed systems and microservices 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