Platform Engineer
Main requirements
· Practical experience working with Kubernetes and managing Infrastructure as Code (IaC) using Terraform.
· Practical experience in designing, deploying, and operating AWS-based systems.
· Strong experience building CI/CD processes using Jenkins and GitHub Actions, including pipeline migration and workflow standardization.
· Experience working with GitOps tools such as Argo CD.
· Experience in secret management using Vault.
· Experience working with monitoring and Observability tools such as Prometheus, Splunk or Honeycomb.
· Practical experience in using engineering metrics to improve the platform or optimize development processes.
· Confident use of AI development tools in everyday engineering work.
· Programming experience in at least one programming language.
· Proven experience in mentoring and technical development of other engineers (without acting as a manager or architect making top-down decisions).
· Proven experience in not only using infrastructure management tools, but also developing internal platforms and tools based on them.
What you will do
· Design and develop internal CLI tools (command line tools) and automation tools, mainly in Go.
· Plan and execute migration CI/CD pipelines from Jenkins on GitHub Actions.
· Standardize and maintain reusable CI/CD processes (workflows) within the framework of the Golden Path platform (standardized development path).
· Collaborate with cloud architects and engineers to design, deploy, and operate AWS infrastructure based on Amazon EKS.
· Implement GitOps practices using Argo CD for automated application delivery.
· Implement observability and Reliability practices using monitoring and alerts based on SLO (Service Level Objectives).
· Use data from Engineering Metrics platforms to identify and prioritize platform improvements.
· Work closely with the engineering teams to help them implement the platform, train users, and provide technical support.
· Participate in duty duties if necessary (on-call) according to the UK time zone.
· Use AI development tools in everyday engineering work in order to improve productivity and quality of development.
What we offer
- Full-time, official employment
- Flexible work format: office, remote or hybrid
- Private health insurance
- Paid vacation/sick days
- Access to internal and external educational platforms
- Working equipment
- Referral program with a bonus for recommendations from friends and former colleagues
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