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(ref : hirist.tech)