DevOps Engineer

The Role

As a DevOps Engineer, you’ll play a key role in building and maintaining a robust, scalable, and reliable 0-downtime platform. You’ll work hands-on with a recently kick-started greenfield initiative with modern infrastructure and automation tools to support our engineering teams.

This is a great opportunity to work with a forward-thinking team, and the freedom to approach problems with fresh thinking, embedding AI and automation and helping shape our cloud-native journey.

If you’re passionate about automation, cloud infrastructure, and delivering high-quality production-grade platforms, this role offers the chance to make a real impact.

Key Responsibilities

• Hands-On Development - Design, implement, and optimise AWS infrastructure through hands-on development using Infrastructure as Code tools.

• Automation & CI/CD - Develop and maintain CI/CD pipelines to automate fast, secure and seamless deployments.

• Platform Reliability - Ensure high availability, scalability, and resilience of our platform, leveraging managed services

• Monitoring & Observability - Implement and manage proactive observability using DataDog and other tools to monitor system health, performance, and security, making sure we can see and fix issues before they impact users

• Cloud Security & Best Practices - Apply cloud and security best practices, including patching and secure configuration of networking, encryption (at rest and in transit), secrets and identity/access management

• Continuous Improvement - Contribute ideas and solutions to improve our DevOps processes

• AI & Future Tech - We want to push the boundaries of AI-driven development - if you have ideas on how to embed AI into our DevOps processes, you’ll have the space to explore them.

Your Experience

• Tech stack - We use Terraform, Terragrunt, Helm, Python, Bash, AWS (EKS, Lambda, EC2, RDS/Aurora), Linux OS & Github Actions. You’re comfortable with all of these, and have strong hands-on experience with Terraform and IaC principles, CI/CD and the AWS ecosystem.
• Proven experience with Networking (VPC, Subnets, Security Groups, API Gateway, Load Balancing, WAF) and Cloud configuration (Secrets Manager, IAM, KMS)
• Comfortable with Kubernetes, ArgoCD, Isitio & Deployment strategies (blue/green & canary)
• Familiarity with Cloud Security services such as Security Hub, Guard Duty, Inspector and vulnerability management/patching
• Observability Mindset - You believe in measuring everything. You’ve worked with DataDog (or similar) to ensure teams have visibility into platform health and security.
• Experience with embedding AI into DevOps processes is advantageous