DevOps Engineer

• 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)
• Integrate AI copilots and automation agents into development and deployment workflows
• Implement intelligent quality gates (e.g., automated code reviews, anomaly detection in pipelines)
• Enable self-healing pipelines and automated failure diagnostics where possible
• Build scalable automation frameworks leveraging AI, scripting, and infrastructure as code
• Analyze and optimize integrations across the Anglo American Data Platform

Lead DevOps Engineer – Data & AI Platform

• Lead reliability initiatives across production platforms and services
• Define and manage SLOs, SLIs, SLAs, error budgets, and availability targets
• Design and implement scalable, resilient cloud-native architectures
• Automate infrastructure and deployments using IaC and CI/CD best practices
• Build and maintain monitoring, logging, tracing, and alerting solutions
• Drive incident management, troubleshooting, root cause analysis, and postmortems
• Improve operational maturity through automation, runbooks, and best practices
• Mentor engineers and support knowledge sharing across teams
• Collaborate with product, security, platform, and vendor teams globally
• Perform capacity planning, performance optimization, and reliability analysis
• Maintain technical documentation and compliance-related artifacts where required

See all jobs on JobTailor

Lead DevOps Engineer – Data & AI Platform

Senior Site Reliability Engineer – B2B Contract