Senior Azure DevSecOps Engineer

• 5+ years of experience in IT application engineering with a focus on DevOps, SRE, or Platform Engineering
• Experience in Linux system administration and supporting applications in Kubernetes-based environments
• Understanding of CI/CD, SDLC, artifact management, and SCM practices
• Hands-on experience with CI/CD automation tools such as Atlassian Bamboo and Azure DevOps
• Hands-on experience with Docker and Kubernetes, with AKS and Rancher preferred
• Proficiency in Terraform, Ansible, and Helm for infrastructure as code and configuration management
• Hands-on experience with Azure cloud services
• Strong Linux administration and shell scripting skills
• Experience with monitoring, alerting, and incident response
• Strong analytical and troubleshooting skills with a proactive mindset
• Ability to work independently while collaborating with cross-functional teams in Agile environments

Nice to have:

• Experience in commercial software engineering environments
• Skills in Python scripting for automation
• Familiarity with build ecosystems such as Maven/Gradle, MSBuild/NuGet, and npm/pip
• Experience maintaining JFrog Artifactory Platform and SonarQube
• Experience integrating security tools into CI/CD pipelines with broader exposure to security tooling in enterprise environments

• Operate and support applications in Kubernetes-based environments
• Design and maintain CI/CD pipelines using automation tools such as Atlassian Bamboo and Azure DevOps
• Deploy and manage containerized applications using Docker and Kubernetes, with AKS and Rancher preferred
• Implement infrastructure as code and configuration management using Terraform, Ansible, and Helm
• Administer Linux systems and develop shell scripts to automate operational tasks
• Monitor system performance, configure alerting, and respond to incidents to ensure reliability
• Manage artifact repositories and source code management processes across the SDLC
• Collaborate with cross-functional teams and R&D stakeholders to improve systems and processes
• Communicate technical issues effectively to audiences with varying levels of technical expertise
• Work within Agile environments to deliver continuous improvements to infrastructure and pipelines

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.