Senior Software Engineer, Kubernetes Automation
New
C
Cast AICloud infrastructure
We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.Full-TimeSenior
Salary€6,500 - €9,000 gross, depending on the level of experience
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Job Details
- Languages
- Strong English skills, both verbal and written.
- Required Skills
- AWSPostgreSQLGCPKubernetesAzureClickhouseGogRPCPrometheusTerraform
Requirements
- Bring strong software engineering fundamentals, including clean abstractions, maintainable code, and the ability to justify architecture choices.
- Have production experience with Go, or demonstrate strong systems programming skills in a comparable language.
- Understand Kubernetes internals, including autoscaling and networking.
- Have personally driven a complex project end-to-end.
- Have experience with AI coding agents and agentic development workflows.
- Have used observability tooling in production.
- Bring experience with CI/CD and DevOps practices.
- Have strong verbal and written English skills.
- Be adaptable, proactive, and comfortable with ambiguity.
- Bring hands-on experience with AWS, GCP, or Azure, including compute, networking, and storage.
- Have deep knowledge of EKS, GKE, or AKS internals.
- Have experience with container runtimes such as CRI-O, runc, or containerd.
- Bring cloud storage experience, including block storage, CSI, volume management, or filesystem internals.
- Have low-level Linux or systems programming experience, including C or C++, as applicable.
Responsibilities
- Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
- Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
- Own features end-to-end, from design through implementation, testing, and production rollout.
- Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
- Collaborate with product and engineering teams to solve problems without textbook solutions.
- Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.
- Contribute to product direction and backlog, shaping what gets built next.
- Participate in on-call rotation for teams that require it.
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