Work Life Group

• 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

• Screen and source qualified applicants and resumes • Coordinate the interview process with individuals and panels • Gather interview feedback and communicate with applicants during and after the interview process • Manage all stages of the recruitment process • Work with leadership to understand the hiring needs of the organization • Collaborate with hiring managers to understand team needs and facilitate candidate lifecycle processes

• Screen and source qualified applicants and resumes • Coordinate the interview process with individuals and panels • Gather interview feedback and communicate with applicants during and after the interview process • Manage all stages of the recruitment process • Work with leadership to understand the hiring needs of the organization • Collaborate with hiring managers to understand team needs and facilitate candidate lifecycle processes

• 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) • 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, including policy-as-code and automated compliance checks • 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

• Screen and source qualified applicants and resumes • Coordinate the interview process with individuals and panels • Gather interview feedback and communicate with applicants during and after the interview process • Manage all stages of the recruitment process • Work with leadership to understand the hiring needs of the organization • Collaborate with hiring managers to understand team needs and facilitate candidate lifecycle processes

• Screen and source qualified applicants and resumes • Coordinate the interview process with individuals and panels • Gather interview feedback and communicate with applicants during and after the interview process • Manage all stages of the recruitment process • Work with leadership to understand the hiring needs of the organization • Collaborate with hiring managers to understand team needs and facilitate candidate lifecycle processes

• 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.

• 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

• Screen and source qualified applicants and resumes • Coordinate the interview process with individuals and panels • Gather interview feedback and communicate with applicants during and after the interview process • Manage all stages of the recruitment process • Work with leadership to understand the hiring needs of the organization • Collaborate with hiring managers to understand team needs and facilitate candidate lifecycle processes

• 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