16 Sep
|
Unisys
|
Bengaluru
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 effective 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 p
📌 Senior Azure DevSecOps Engineer (Bengaluru)
🏢 Unisys
📍 Bengaluru