AWS DevOps Engineer, AVP

Role Overview

• Design and implement DevOps solutions that drive automation, performance optimisation and reliability across the software development lifecycle
• Secure buy-in to DevOps methodologies from Product Owners, Platform Leads and senior business stakeholders
• Build strong internal and external relationships to ensure decisions are commercially focused and deliver long-term value
• Collaborate in shaping and delivering the DevOps strategy and roadmap aligned to business objectives

Key Responsibilities

• Design and oversee system and application architectures with a strong focus on scalability, resilience and reliability
• Drive automation across advanced workflows by creating reusable modules, templates and patterns
• Analyse system performance and optimise infrastructure to improve efficiency and reduce operational costs
• Evaluate, introduce and integrate new technologies to enhance the DevOps ecosystem and engineering practices
• Ensure DevOps practices comply with regulatory, security and industry standards
• Communicate effectively with stakeholders to understand requirements and provide clear technical guidance
• Lead continuous deployment of business-critical systems into production environments

Required Experience & Capabilities

• At least eight years of experience in DevOps engineering
• Strong experience with DevOps tools, source code management, deployment and configuration tooling
• Hands-on experience with AWS services including EC2, S3, Lambda and CloudWatch
• Proven expertise using Terraform for infrastructure provisioning and automation
• Experience building and managing scalable platforms using EKS, Kubernetes, Istio, API Gateway and serverless architectures
• Strong experience designing and operating CI/CD pipelines following DevOps best practices
• Proficiency in Python for scripting, automation and workflow optimisation
• Experience deploying mission-critical systems into production on a continuous basis
• Knowledge of portfolio management theories, models and practices within Agile or DevOps environments