Senior Azure DevSecOps Engineer

What success looks like in this role:

• Provide DevSecOps engineering support for AI projects, incorporating modern cloud-native and AI-driven architectures.
• Design, implement, and manage automated infrastructure provisioning and configuration management solutions, primarily within cloud platforms (e.g., Azure), including environment setup, access provisioning, and resource orchestration.
• Develop, maintain, and optimize robust CI/CD pipelines to automate build, test, and deployment processes, supporting AI/ML workloads.
• Automate test case development and regression testing, including the creation, maintenance, and expansion of automated test suites to ensure quality across ongoing and future releases, with particular focus on AI-based solutions.
• Support the deployment, scaling, monitoring, and lifecycle management of containerized applications, ensuring reliability, performance, and efficient resource utilization.
• Manage and document deployment pipelines and release processes, including both manual and automated workflows, and contribute to the adoption and migration toward modern DevOps platforms (e.g., Azure DevOps, Jenkins).
• Collaborate with cross-functional teams to troubleshoot environment, networking, and access issues, including firewall configuration, port management, and secure connectivity within cloud environments.
• Implement and maintain monitoring and observability solutions to track system performance, analyze trends, and detect anomalies, including configuring alerting mechanisms for proactive issue resolution.
• Identify performance bottlenecks and optimize system components (e.g., databases, application services, networking infrastructure) to improve efficiency, scalability, and responsiveness.
• Support code lifecycle management and DevSecOps strategy development, including version control practices, branching strategies, and release governance for both application and infrastructure code.
• Develop and enhance automation scripts and processes for environment management, data handling, and deployment operations, including environment resets and workflow standardization.
• Maintain comprehensive technical documentation related to environments, deployment processes, automation, and AI integration to support operational continuity and onboarding.
• Facilitate onboarding of team members by providing access, documentation, and guidance on environment setup, tools, and best practices.
• Collaborate with security teams to integrate security practices into development and deployment pipelines, including vulnerability scanning, access control, and compliance with enterprise and industry standards.
• Apply artificial intelligence (AI) techniques and tooling to enhance DevSecOps practices, including improving automated testing, anomaly detection, operational insights, and pipeline optimization.

#LI-SN1

You will be successful in this role if you have:

• Minimum 5 years of experience OR equivalent combination of education and experience.
• Experience with DevOps tools (Jenkins, Azure DevOps,Terraform,Docker, etc.)
• Strong scripting and automation skills (e.g., Python, PowerShell, Bash)
• Strong knowledge of GPU-based systems and CUDA kernels, along with experience in deploying machine learning models with versioning using DVC.
• Hands-on experience with cloud environments, especially Microsoft Azure
• Familiarity with environment provisioning, access management, and deployment best practices for AI projects
• Excellent documentation and communication skills
• Experience onboarding and supporting technical teams

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.

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