DevOps Engineer
Key details
- Compensation
- $45,000 - $70,000
Job Description
Salary: £45,000 - 70,000 per year
Requirements
- Experience working within a DevOps, SRE or platform engineering role
- Strong hands-on experience with Kubernetes and container orchestration
- Experience with microservices architectures and cloud-native platforms
- Knowledge of GitOps methodologies and CI/CD tooling such as Argo CD, Flux, GitHub Actions or GitLab CI
- Proficiency with Terraform, Helm and at least one major cloud provider such as AWS, Azure or GCP
- Software engineering capability in a backend language such as Go, Python or TypeScript
- Understanding of observability tooling such as Prometheus, Grafana or OpenTelemetry
- Strong analytical and problem-solving skills
- Comfortable working within an agile, delivery-focused environment
Responsibilities
- Design, build and operate production Kubernetes clusters and supporting platform services
- Create and manage secure, scalable cloud infrastructure using infrastructure-as-code principles
- Develop and maintain CI/CD pipelines and GitOps workflows
- Implement observability solutions including metrics, logging and tracing for platform monitoring
- Optimise platform performance, scalability and operational efficiency
- Contribute to backend tooling and automation where required
- Participate in code and configuration reviews, promoting engineering best practices
- Embed security into delivery pipelines, including image scanning, dependency management and secrets handling
- Support incident response, post-incident reviews and continuous service improvement
- Work collaboratively with engineering and product teams to support predictable, low-risk releases
Technologies
- AI
- AWS
- Azure
- Backend
- CI/CD
- Cloud
- DevOps
- GCP
- GitHub
- GitLab
- GitOps
- Grafana
- Helm
- Support
- Kubernetes
- OpenTelemetry
- Prometheus
- Python
- Security
- Terraform
- TypeScript
- microservices
More
We are a technology-led client specialising in AI-driven platform development, delivered through cloud-native, microservices-based architectures. AI is used across our stack to accelerate platform delivery, automate operations and improve reliability. This is a remote working role, but we are looking for someone who lives within the greater Aberdeen area. You will join an expanding team and contribute to a modern engineering environment focused on automation, resilience and continuous improvement.
last updated 27 week of 2026
Company & context
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Range from 6 indexed roles at this employer: $45,000 - $70,000(mid ~57500)
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Source: DevITJobs • Last updated 2w ago