Job Summary

Senior Automation Engineer

Key Responsibilities

Core Technical Capabilities • Strong experience designing and scaling (cloud) automation solutions in enterprise environments • Proven ability to enhance automation workflows with AI driven logic, including validation, orchestration, and decision support • Hands on expertise with Infrastructure as Code (IaC), particularly using Terraform • Deep working knowledge of AWS and Azure, including cloud governance, networking, and security fundamentals • Experience supporting and managing AWS and Azure Landing Zones AI & Automation Expertise • Experience integrating AI agents or AI assisted workflows into operational and platform processes • Ability to assess AI use cases for feasibility, risk, and architectural alignment • Strong understanding of enterprise AI guardrails, including security, compliance, and responsible usage • Capability to define and communicate best practices for AI solution submissions and reviews DevOps & Platform Engineering • Experience managing and evolving enterprise DevOps platforms (e.g., CI/CD pipelines, repositories, automation services) • Strong understanding of self service platform models with appropriate governance and auditability • Familiarity with automation and orchestration tools used in IT operations and scheduling platforms • Ability to integrate monitoring, validation, and remediation into automated workflows Architectural & Engineering Skills • Strong system level thinking with the ability to design reusable, modular, and standardized solutions • Experience defining patterns, standards, and reference architectures rather than one off implementations • Comfortable balancing innovation speed with enterprise requirements for stability and compliance • Ability to translate high level strategy into actionable technical direction Collaboration & Ways of Working • Experience working closely with cloud engineering, security, architecture, and application teams • Ability to act as a technical advisor and enabler rather than a ticket based operator • Strong stakeholder communication skills, including explaining complex topics to non specialists • Comfortable operating in a global, cross functional enterprise environment Preferred Experience • Exposure to AI agents that interpret configurations or job definitions and take contextual actions • Experience building automation frameworks intended for broad reuse and adoption • Background in platform, cloud foundation, or shared services teams • Familiarity with governance heavy or regulated enterprise environments

Skill Requirements

Core Technical Capabilities • Strong experience designing and scaling (cloud) automation solutions in enterprise environments • Proven ability to enhance automation workflows with AI driven logic, including validation, orchestration, and decision support • Hands on expertise with Infrastructure as Code (IaC), particularly using Terraform • Deep working knowledge of AWS and Azure, including cloud governance, networking, and security fundamentals • Experience supporting and managing AWS and Azure Landing Zones AI & Automation Expertise • Experience integrating AI agents or AI assisted workflows into operational and platform processes • Ability to assess AI use cases for feasibility, risk, and architectural alignment • Strong understanding of enterprise AI guardrails, including security, compliance, and responsible usage • Capability to define and communicate best practices for AI solution submissions and reviews DevOps & Platform Engineering • Experience managing and evolving enterprise DevOps platforms (e.g., CI/CD pipelines, repositories, automation services) • Strong understanding of self service platform models with appropriate governance and auditability • Familiarity with automation and orchestration tools used in IT operations and scheduling platforms • Ability to integrate monitoring, validation, and remediation into automated workflows Architectural & Engineering Skills • Strong system level thinking with the ability to design reusable, modular, and standardized solutions • Experience defining patterns, standards, and reference architectures rather than one off implementations • Comfortable balancing innovation speed with enterprise requirements for stability and compliance • Ability to translate high level strategy into actionable technical direction Collaboration & Ways of Working • Experience working closely with cloud engineering, security, architecture, and application teams • Ability to act as a technical advisor and enabler rather than a ticket based operator • Strong stakeholder communication skills, including explaining complex topics to non specialists • Comfortable operating in a global, cross functional enterprise environment Preferred Experience • Exposure to AI agents that interpret configurations or job definitions and take contextual actions • Experience building automation frameworks intended for broad reuse and adoption • Background in platform, cloud foundation, or shared services teams • Familiarity with governance heavy or regulated enterprise environments

Other Requirements

Exposure to AI agents that interpret configurations or job definitions and take contextual actions • Experience building automation frameworks intended for broad reuse and adoption • Background in platform, cloud foundation, or shared services teams • Familiarity with governance heavy or regulated enterprise environments