Day to day
- Lead the design, implementation, and evolution of DevOps practices for the Field Platform
- Own and continuously improve CI/CD pipelines to enable fast, reliable, and repeatable deployments
- Promote automation‑first methods across infrastructure, build, test, deployment, and operational processes
- Architect, build, and maintain cloud infrastructure on Microsoft Azure using Infrastructure as Code
- Work collaboratively with software engineers to support applications built with C#, .NET, and APIs, ensuring production readiness
- Guarantee high availability, scalability, performance, and security of platform services
- Advocate best practices for observability, monitoring, logging, and incident management
- Provide technical mentorship and guidance to DevOps and engineering teams
- Serve as a key stakeholder in cross‑team discussions, influencing platform and architectural decisions
- Clearly communicate complex technical concepts to both technical and non‑technical audiences
Key Stakeholders
Software Engineering Managers, Principal Software Engineers, Product teams, Security teams, Infrastructure teams
Problem Solving & Decision Making
- Extensive experience in a senior DevOps role within complex, enterprise‑scale environments
- Strong hands‑on experience with Microsoft Azure, covering compute, networking, security, and platform services
- Deep knowledge of CI/CD tooling and practices, such as Azure DevOps, GitHub Actions, or similar platforms
- Proven expertise in automation and Infrastructure as Code, using tools like ARM, Bicep, Terraform, or equivalent
- Solid understanding of API‑based architectures and supporting distributed systems
- Experience working closely with applications built in C# and .NET
- Strong understanding of DevOps, SRE, and cloud‑native principles
- Excellent communication and interpersonal skills, with the ability to influence and collaborate across teams
- Comfortable operating at both strategic and hands‑on technical levels
What we need from you
Hands‑on experience in:
- C#
- .NET Core
- SQL
- Pipeline configuration, creation, management
- GitHub Actions syntax and workflow creation
- CI/CD concepts
- Orchestration
- YAML
- Powershell
- Azure Administration including Networks, Security
- Azure CLI and ARM templates
- Azure API Management
- Azure Functions
- Azure Data Factory
- Logic Apps
- Service bus queue
- Storage Account
- Application Insights
- Key Vault
- Event Grid
- Container Registry
- Batch account
Core Competencies & Technical Skills (AI and emerging technology)
- Designs, integrates and operates AI‑enabled solutions within enterprise environments, including prompt‑driven workflows, retrieval‑augmented systems and AI agents
- Applies structured evaluation, testing and monitoring practices to ensure AI outputs are reliable, secure and compliant with organisational guardrails
- Prepares and manages data used in AI workflows and takes responsibility
