About the Position
We are looking for a senior engineer who can grow into a leadership role within the team. We are undertaking a landmark project: migrating our entire Fintech infrastructure from self-hosted Jenkins to a SaaS-based GitHub Actions platform and establishing a unified, “golden path” CI/CD platform that is fast, reliable, and easy to adopt. Beyond migration, we are reimagining the internal developer platform as a product for our engineering teams: reducing toil, standardising workflows, and enabling self-service delivery at scale. This includes progressively embedding AI across the SDLC, from pipeline optimisation and test intelligence to incident insight and developer guidance, moving toward a data-driven, AI-assisted delivery ecosystem that enables teams to ship quickly, safely, and with confidence.
The working schedule is aligned with the UK time zone (9am to 5:30pm UK time) and involves participating in on-call shifts if required.
This position includes a sign-in bonus.
About the Team
You will join a cross functional DevOps and cloud engineering team that includes DevOps engineers, cloud architects, backend developers, and reliability specialists. The team collaborates closely, follows iterative delivery practices, and maintains a structured approach to stability, security, and automation.
Responsibilities
- Design and develop internal CLI tools and automation providers primarily in Go
- Plan and execute the migration of CI CD pipelines from Jenkins to GitHub Actions
- Standardise and maintain reusable CI CD workflows as part of a golden path platform
- Collaborate with cloud architects and engineers to design and operate AWS infrastructure on EKS
- Implement GitOps practices using Argo CD for application delivery
- Embed observability and reliability practices using SLO driven monitoring and alerting
- Use data from engineering metrics platforms to identify and prioritise platform improvements
- Work closely with engineering teams to enable, educate, and support adoption of the platform
- Participate in an on call rotation aligned with the UK time zone when required
- Leverage AI assisted tools in daily engineering work to improve productivity and quality
Requirements
- Hands-on experience with Kubernetes and infrastructure as code using Terraform
- Practical experience designing, deploying, and operating AWS-based systems
- Solid background in CI CD with Jenkins and GitHub Actions, including pipeline migration and workflow standardisation
- Experience with GitOps tools such as Argo CD
- Familiarity with secrets management using Vault
- Experience using observability tools such as Prometheus, Splunk, or Honeycomb
- Demonstrated use of engineering metrics to drive platform or process improvements
- Comfort using AI-assisted development tools as part of everyday engineering work
- Experience in at least one programming language
- Proven track record of mentoring and technically growing other engineers (not management, not top-down architect)
- Proven experience not only using infrastructure tools, but also building internal platforms and tools on top of them
Nice to Have
- Experience with Knative or event driven platforms
- Exposure to internal developer platforms treated as product offerings
- Experience working in regulated or financial services environments
- Familiarity with platforms such as LinearB in addition to GetDX
- Strong experience writing production quality code in Go
Technologies
Go, Kotlin, Java, AWS, Amazon EKS, Kubernetes, GitHub Actions, Jenkins, Argo CD, Terraform, Vault, Knative, Honeycomb, Splunk, Prometheus, GetDX, Claude, ChatGPT