> Markdown version of [/jobs/ext/3987960-devops-engineer](https://www.wearedevelopers.com/jobs/ext/3987960-devops-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps Engineer - **Company:** Randstad - **Location:** Philadelphia, PA, United States (Remote available) - **Experience:** Expert - **Salary:** $104,000.0 - $114,400.0 - **Contract:** Contract - **Skills:** Multitier Architecture, Application Performance Management, Automation of Tests, Microsoft Azure, Bash Shell, Big Data, Cloud Computing, Cloud Engineering, Configuration Management, Continuous Delivery, Continuous Integration, Data Infrastructure, Software Debugging, DevOps, Python (Programming Language), Key Management, Log Analysis, Uptime, Windows PowerShell, Role-Based Access Control, Release Management, Cloud Services, Software Engineering, YAML, Azure Service Bus, Data Logging, Scripting, Cloud Platform System, Cloud Monitoring, System Availability, Delivery Pipeline, Software Security, Infrastructure as Code (IaC), Git, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Terraform, Software Version Control, Docker, Databricks, Vulnerability Analysis - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/6e02d087-c30f-4692-8efc-7821a15ea10b ## About the Role Bachelor's of Engineering degree in Computer Science, Software Engineering, or related technical field. 5+ years of hands-on DevOps and cloud platform experience utilizing Azure DevOps. Extensive experience writing declarative CI/CD pipelines in YAML and scripting with Python, PowerShell, or Bash. Strong proficiency in Infrastructure as Code (IaC) with Terraform. Proven background in version control governance and advanced Git branching workflows. 6+ years of applying continuous improvement methodologies to technical processes. PREFERRED QUALIFICATIONS Experience supporting Healthcare or Health Payer systems and data environments. Hands-on experience deploying Databricks Asset Bundles or large-scale data platforms. Container orchestration knowledge using Docker and Kubernetes. Current Azure Certifications (e.g., Azure DevOps Engineer Expert). skills: Application Insights,automated testing,Azure Service,Bash,cloud infrastructure,Cloud & Infrastructure,cloud engineering,Azure Monitor,cloud environments,Cloud Services,configuration management,Containerize,Containerization & Orchestration,continuous delivery,CI/CD,CI/CD workflows,logging,Databricks,delivery pipelines,deployment automation,DevOps,Docker and Kubernetes,Git,infrastructure-as-code practices,secrets management,Log Analytics,Azure DevOps,multi-tier application,Python,Release Management,RBAC,Version Control,platform reliability,Terraform,uptime,vulnerability scanning,PowerShell,YAML,detail-oriented,problem-solving,autonomous,proactive,access controls,auditing,automate,automated,Scripting & Automation,Life Sciences,continuous improvement,cross-functional communication,Continuous Improvement Techniques,Enterprise security,Agile delivery,diagnose,infrastructure,Managed Services,Process Transformation,root-cause analysis ## Description Join an enterprise cloud engineering team delivering high-impact automation and infrastructure solutions for major Health & Life Sciences initiatives. You will be responsible for architecting and managing end-to-end continuous integration and deployment pipelines, elevating cloud platform reliability, and empowering development teams to deploy scalable, secure software with speed and confidence., * Architect, build, and optimize enterprise CI/CD pipelines using Azure DevOps and YAML. * Automate infrastructure provisioning, configuration, and data workflows with Terraform and Databricks Asset Bundles. * Define and enforce governance standards for Git branching, environment promotion, and release configuration. * Embed enterprise security across pipelines using service principals, key vaults, and role-based access controls. * Partner with engineering leads to debug pipeline issues, optimize build performance, and improve continuous deployment maturity.