Lead DevOps Engineer, Data & AI Platform

Work Life Group

Lead DevOps Engineer enhancing a world-class data and AI platform with automation and CI/CD practices. This role focuses on platform engineering and embedding AI in DevOps processes.

Posted 5/28/2026full-timeRemote • 🇷🇴 RomaniaSeniorWebsite

Tech Stack

Tools & technologies

AirflowAzureCloudPythonSQL

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 incorporating AI-assisted development, testing, and operations.
Continuously evaluate emerging technologies and incorporate them where relevant.
Design and optimize CI/CD pipelines using AI-assisted tools.
Implement intelligent quality gates and automated failure diagnostics.
Build scalable automation frameworks leveraging AI, scripting, and infrastructure as code.
Analyze and optimize integrations across the Anglo American Data Platform.
Create and maintain clear documentation, including AI-assisted “how-to” guides and self-service enablement.
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 integrating APIs or services for AI capabilities into workflows is a plus.
Ability to analyze complex systems and improve scalability and performance.

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities

ATS Keywords

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Hard Skills & Tools

CI/CDinfrastructure as codescriptingDevOps principlesGit workflowsrelease strategiesAzure servicescloud-native architecturesAI-assisted development toolsMLOps

Soft Skills

collaborationproblem-solvingdocumentation