You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimised, secure, and highly available.

Key responsibilities include:

• Architect and Automate: Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi.
• Orchestration: Manage and scale containerised workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency.
• CI/CD Excellence: Architect robust deployment pipelines using GitHub Actions, managing both GitHub-hosted and self-hosted runners for specialised build requirements.
• Drive 'Observable by Default' Frameworks: Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default.
• Tooling, Scripting & AI: Build internal CLI tools, AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency.
• Partner Cross-Functionally: Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business outcomes.
• Mentor and Document: Participate in Code reviews, Document solutions and failure triage playbooks, and mentor junior engineers on the platforms you own.

Requirements include:

• Software Engineering Expertise: 5+ years of production-level experience with a strong proficiency in Python (non-negotiable).
• IaC: Expert-level proficiency in Terraform (modules, state management) or Pulumi (Preferred).
• Cloud & Infrastructure Breadth: Hands-on experience with AWS (or Azure/GCP), Kubernetes, Docker and containerisation concepts.
• Automation & Integration Mindset: Experience building and troubleshooting integrations between infrastructure, data pipelines, and observability platforms.
• CI/CD: Advanced knowledge of GitHub Actions, GitHub Runners.
• Strong Observability Mindset: Understanding of observability pillars (logging, metrics, tracing) and hands-on experience with tools like Datadog, Prometheus, or ELK.
• Distributed Systems: Proficiency in running systems through concepts like Kafka or messaging queues.
• Independent Execution: Ability to operate with minimal guidance, take ownership of ambiguous projects, and follow a vision set by tech leads to execute independently.

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