Specialist System Engineering - DevOps Engineer — AI & Pipeline Automation

Overview

Senior DevOps/System Engineering role focused on Azure DevOps CI/CD pipeline automation for 5G NF deployments, with AI-assisted analysis and self-healing workflows.

What you'll do

• Design, build, and maintain Azure DevOps CI/CD pipelines from lab to production with repeatable promotion workflows.
• Develop AI-assisted pipeline automation using LLMs to analyze build failures, deployment issues, pipeline health, and telemetry.
• Build and maintain MCP servers and AI-callable tool integrations exposing Azure and Kubernetes capabilities.
• Create self-healing pipeline workflows that detect failure patterns and trigger approved remediation with diagnostics and escalation paths.
• Integrate CI/CD steps with source control, artifact repositories, approvals, environment gates, testing, security checks, and release governance.
• Implement observability for CI/CD systems including metrics, logs, dashboards, alerts, and failure trend analysis.
• Troubleshoot Kubernetes deployments (e.g., deployment failures, configuration issues, service health, and environment-specific behavior).

What you'll need

• Expert-level Linux experience with scripting in Bash, Python, and/or PowerShell.
• Proven ability to automate manual processes using scripting languages and Infrastructure as Code (e.g., Ansible).
• Ability to build Azure DevOps (ADO) Pipelines from the ground up using YAML.
• Proficiency with az cli commands within ADO Pipelines to interact with Azure resources.
• Hands-on container experience for deploying, debugging, and maintaining applications.
• Experience integrating Azure OpenAI or equivalent LLM APIs into automation workflows.
• Kubernetes experience using AKS (preferred) and kubectl for inspection during pipeline-triggered deployments.

Details

• Work location: IND:KA:Bangalore / Epip Area, Hoodi Village, Whitefield Rd - Eqp: Plot 111/112, Epip Area, Hoodi Village, Whitefield Road.
• Offshore role with daily collaboration with U.S. stakeholders and overlapping work hours.
• Weekly hours: 40.
• Time type: Regular.