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Lead DevOps Engineer, Data & AI Platform
Work Life GroupLead DevOps Engineer for a cutting-edge Digital Solutions company evolving an AI-enabled delivery ecosystem. Focused on platform engineering, AI-assisted development, and automation of software delivery.
Tech Stack
Tools & technologiesAirflowAzureCloudPythonSQL
About the role
Key responsibilities & impact- Lead the design and implementation of modern DevOps practices
- Refine and enhance CI/CD processes
- Integrate new capabilities into release pipelines
- Drive automation across the software delivery lifecycle
- Define and implement a modern DevOps and platform engineering strategy
- Develop roadmaps that incorporate AI-assisted development, testing, and operations
- Continuously evaluate emerging technologies
- Design and optimize CI/CD pipelines using AI-assisted tools
- Build scalable automation frameworks leveraging AI, scripting, and infrastructure as code
- Analyze and optimize integrations across the Anglo American Data Platform
- Implement governance practices across pipelines
- Collaborate with Data Delivery and platform teams to resolve issues efficiently
Requirements
What you’ll need- Strong experience with CI/CD tools (e.g., Azure DevOps, GitHub Actions)
- Expertise in infrastructure as code (Bicep, ARM or similar)
- Proficiency in scripting (PowerShell, Python, Bash)
- Deep understanding of DevOps principles, Git workflows, and release strategies
- Experience with Azure services and cloud-native architectures
- Familiarity with data platforms (Databricks, ADF, Airflow, SQL, AAS or equivalent)
- Hands-on experience or strong familiarity with AI-assisted development tools (e.g., GitHub Copilot, ChatGPT)
- MLOps / LLMOps concepts (model deployment, monitoring, versioning)
- Strong ability to analyze complex systems and improve scalability and performance
Benefits
Comp & perks- Flexible work arrangements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
CI/CDinfrastructure as codescriptingDevOps principlesGit workflowsrelease strategiesAzure servicescloud-native architecturesAI-assisted development toolsMLOps
Soft Skills
leadershipcollaborationproblem-solvinganalytical skills