Requirements Summary

Senior DevOps Engineer with expertise in Azure DevOps, pipeline automation, AI, and LLM integration

Benefits

Education

Bachelor's degree

Full Job Description

Role Overview Design, build, and maintain Azure DevOps CI/CD pipelines that support 5G NF application deployment from lab environments through production with repeatable, secure, and automated promotion workflows. Develop AI-assisted pipeline automation capabilities that use LLMs to analyze build failures, deployment issues, pipeline health, and operational telemetry. What You Will Do Create self-healing pipeline workflows that can detect common failure patterns, trigger approved remediation steps, and provide clear diagnostics, confidence levels, and escalation paths. Develop reusable YAML templates, pipeline components, scripts, and automation libraries that standardize CI/CD delivery across applications, environments, and teams. Why It Might Be a Fit Lead technical discussions, working sessions, demos, and hands-on training to improve DevOps maturity and enable client teams to adopt AI-enabled pipeline automation. Continuously evaluate emerging DevOps, GenAI, LLM, and MCP capabilities and recommend practical enhancements that improve delivery speed, quality, reliability, and operational efficiency. Requirements Linux & Scripting Fundamentals Expert-level Linux experience with strong scripting skills in Bash, Python, and/or PowerShell Proven ability to automate manual processes using scripting languages and Infrastructure as Code (e.g., Ansible) Hands-on experience containerizing, deploying, debugging, and maintaining applications Azure DevOps & Pipeline Engineering Expert ability to build ADO Pipelines from the ground up using YAML Proficiency with az cli commands within ADO Pipelines to interact with Azure Resources Deep understanding of ADO Repos including branching, tagging, and environment management strategies Working knowledge of ADO Agents – their purpose, capabilities, and limitations Strong use of JSON and YAML as data formats across scripts, Ansible playbooks, and pipelines Azure Platform & Infrastructure Experience with Azure Container Registry (ACR) to import, tag, and extract images and charts within pipelines Understanding of Azure Resource Manager, Endpoints, and Service Principals Ability to build Azure Resources using Bicep and ARM Templates with emphasis on parameterization Familiarity with Azure Key Vault (AKV) and Hashi Corp Enterprise Vault (HCEV) for secrets management Experience with Azure Operator Service Manager (AOSM) Kubernetes & Container Orchestration Hands-on experience deploying, managing, and debugging workloads on Kubernetes (AKS preferred) Proficiency with kubectl for inspecting pods, logs, events, and resource states during pipeline-triggered deployments Ability to diagnose and resolve common deployment failures including CrashLoopBackOff, image pull errors, resource quota issues, and failed health probes Experience integrating Kubernetes deployment steps into ADO Pipelines including rollout strategies, namespace management, and environment promotion Familiarity with Helm charts for packaging and deploying applications through pipelines Understanding of Kubernetes RBAC, service accounts, and their role in secure pipeline-based deployments AI & LLM Integration Hands-on experience integrating Azure OpenAI or equivalent LLM APIs into automation workflows Ability to design prompts for pipeline analysis, failure summarization, and root-cause diagnosis Familiarity with agent-based AI patterns including tool/function calling and Retrieval-Augmented Generation (RAG) Experience designing and building custom MCP servers to expose internal APIs and data as AI-callable tools Pipeline Intelligence & Analysis Ability to leverage ADO REST APIs to surface pipeline health metrics, flaky tests, and failure patterns Experience building AI-assisted workflows for root-cause analysis against pipeline logs Capability to design self-healing pipeline logic - detect, diagnose, remediate, and re-trigger Communication & Collaboration Demonstrated ability to articulate complex technical concepts, solutions, and standards to stakeholders across varying skill levels - through both presentations and discussions Collaborative approach to working across platform, security, and application engineering teams Benefits Competitive salary Equity Healthcare PTO Retirement Learning budget Parental leave Wellness Visa/relocation Remote flexibility Stipends Bonus/commission Paid holidays

Skills and Technologies