Senior DevOps Engineer - AWS

The Senior DevOps Engineer works with the DevOps & Cloud Engineer Lead and software engineering teams to build, automate and support the cloud infrastructure and DevOps capabilities that underpin the Digital Product portfolio.

The role is primarily hands-on, with a focus mainly on AWS, Infrastructure as Code, CI/CD and automation. The successful candidate will help implement established platform standards and patterns, support application teams and progressively take ownership of defined areas of the platform.

• →Build, configure and maintain AWS infrastructure supporting applications and services.
• →Implement Infrastructure as Code using Terraform, following established platform patterns and standards.
• →Build and maintain AWS amplify pipelines across Dev, UAT and Production environments, supporting application onboarding, infrastructure deployment and CI/CD processes.
• →Automate infrastructure and operational processes using PowerShell, Bash, Python and other appropriate tooling.
• →Support the deployment and operation of applications and supporting AWS services.
• →Monitor, troubleshoot and resolve cloud infrastructure, deployment and pipeline issues.
• →Identify opportunities to improve automation, reliability, security and operational efficiency.
• →Contribute to technical standards, documentation and reusable tooling, staying current on emerging technologies and actively sharing knowledge across the team.
• →Work collaboratively with cross-functional teams including software developers, testers, architects, security, enterprise platform teams and project managers.

• Computer Science, Information Technology or related degree, or equivalent practical experience.
• Hands-on experience with AWS is required and experience with other cloud platforms such as Microsoft Azure is advantageous.
• Experience with Git/Bitbucket and CI/CD concepts.
• Experience with Infrastructure as Code with Terraform experience highly desirable.
• Practical scripting or automation experience using PowerShell, Bash, Python or a similar language.
• Understanding of cloud infrastructure concepts including networking, identity, access management and security.
• Experience with, or understanding of, deploying and supporting applications in a cloud environment.
• Experience with AWS Amplify, DynamoDB, Lambda, API gateway, Cloudformation, WAF, IAM, Jenkins would be highly desirable.
• Experience with AI-assisted development tools (e.g. GitHub Copilot, Claude) and familiarity with integrating LLM APIs into workflows.
• Understanding of software development practices including source control, pull requests and code review.
• Good communication skills – written and verbal.
• Demonstrated problem-solving and troubleshooting skills.
• Takes ownership of assigned work and follows tasks through to completion.
• The ability to occasionally work outside normal business hours, including weekends.

• Cloud platforms — AWS (primary), Azure or equivalent
• Infrastructure as Code (Terraform)
• CI/CD Pipeline (GIT/Bitbucket/Jenkins)
• Scripting and automation (PowerShell, Bash, AWS CLI Python)
• Monitoring & observability (Amazon CloudWatch, AWS X-Ray, CloudWatch Logs)
• Atlassian Jira / Confluence