Platform Engineer (remote work)

TuxCare provides security solutions for Linux and open-source software used by enterprise organisations. Our products help companies automate vulnerability patching, reduce downtime, maintain security and compliance, and support critical systems throughout their lifecycle. Learn more about TuxCare: https://tuxcare.com/ We are looking for a Platform Engineer to join our Platform Engineering team within the Endless Lifecycle Support (ELS) department. ELS helps organisations continue using end-of-life Linux distributions, programming language runtimes, and frameworks securely, even after they stop receiving standard security updates. Learn more about ELS: https://tuxcare.com/endless-lifecycle-support Our Platform Engineering team is responsible for the department's CI/CD and QA platforms, managing everything from the underlying hardware and infrastructure to the tools and developer experience. The team takes full ownership of platform reliability, quality, scalability, and cost. This is a hands-on, infrastructure-focused role that combines Platform Engineering, DevOps, and CI/CD , with opportunities to contribute to platform architecture and technical decisions.

You will be responsible for: Owning the CI/CD and QA platforms of the department end to end, from hardware and infrastructure through CI runners, build and test environments up to developer experience. Being accountable for the platforms' reliability, quality, scalability and cost. Analysing how the CI fleet and the services around it are actually used, and turning the findings into data-driven capacity, sizing and performance decisions. Improving and automating the tools teams use to build, test and ship, and removing recurring sources of manual work such as flaky tests. Contributing to the platform architecture together with engineering teams. Maintaining service health with monitoring and runbooks. Alerts are written into the existing company observability tenant. Deploying new services following best practices. Supporting developer requests and turning recurring ones into self-service. Managing incidents end-to-end: diagnosis, mitigation, post-mortems. Delivering infrastructure as code through merge-request reviews. Writing technical documentation for engineers across teams. Working with AI agents: delegating tasks and reviewing their output.