Skills & Requirements Profile
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
Skills & Requirements Profile 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 expertis...
Skills & Requirements Profile
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
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