Senior DevSecOps Engineer - Azure AI Pipelines

Company: Unisys

Location: Bangalore, KA, India

Type: Full-time

Posted: 2026-10-01

About this role

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 ...

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