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Lead DevOps Engineer, Data & AI Platform
Work Life GroupLead DevOps Engineer shaping the future of AI-driven delivery ecosystem. Collaborating on a world-class data platform that powers decision-making across the mining value chain.
Tech Stack
Tools & technologiesAirflowAzureCloudPythonSQL
About the role
Key responsibilities & impact- Define and implement a modern DevOps and platform engineering strategy aligned with data and AI platform goals
- Develop roadmaps that incorporate AI-assisted development, testing, and operations
- Drive the evolution from traditional DevOps to intelligent, self-service platform capabilities
- Continuously evaluate emerging technologies (e.g., GenAI, LLMOps, AIOps) and incorporate them where relevant
- Design and optimize CI/CD pipelines using AI-assisted tools (e.g., code generation, test generation, pipeline optimization)
- 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, code assistants)
- MLOps / LLMOps concepts (model deployment, monitoring, versioning)
- AIOps tools for monitoring and incident management
- Experience with governance frameworks, access control, and compliance
Benefits
Comp & perks- Health insurance
- Flexible working hours
- Professional development opportunities
ATS Keywords
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Hard Skills & Tools
CI/CDinfrastructure as codeBicepARMscriptingPowerShellPythonBashDevOps principlesMLOps