Senior Software Engineer | AI Agents & Cloud Platform (Cast Pilot team)

Role overview Build the software platform behind AI assistants that answer questions about live Kubernetes infrastructure and cloud costs. The work spans agent behavior, data retrieval, cloud connectivity, and a secure interface for external AI clients, with a focus on dependable, permission-aware answers at production scale. Engineers own features end to end, from design through rollout, and help shape product priorities.

Responsibilities - Develop agent flows, context retrieval, and data connections that let the assistant reason over live Kubernetes environments. - Build and evolve a public MCP server with curated tools, identity controls, auditability, and safety gates. - Maintain integrations with AWS, GCP, and Azure, and build the data foundations used by agents. - Write production services that connect cloud APIs, Kubernetes control planes, and language model APIs. - Own features from design and implementation through testing and production release; investigate correctness, permissions, and data freshness issues. - Create evaluation, telemetry, and feedback systems to measure agent quality and prevent regressions; contribute to product planning and participate in on-call.

Requirements - Strong software engineering fundamentals, including sound architecture, maintainable code, and experience debugging distributed systems. - Production Go experience is preferred; comparable systems programming experience may also be relevant. - Experience operating or building large-scale, multi-tenant SaaS systems. - Solid Kubernetes knowledge, including autoscaling, scheduling, and networking. - Experience leading a complex project through delivery, using observability tools, and working with CI/CD and DevOps practices. - Hands-on use of AI coding agents or agentic development workflows, strong written and spoken English, and comfort working in an adaptable environment.

Nice to have Experience shipping agentic systems such as MCP services, tool orchestration, RAG pipelines, or evaluation frameworks is especially relevant. Additional strengths include hands-on cloud infrastructure and IAM knowledge, LLM evaluation and optimization, OAuth or OIDC authorization design, managed Kubernetes internals, and cloud-native open-source contributions.

Benefits and work setup Remote-first, with applications limited to candidates residing in the listed European countries; the source says visa or work-permit sponsorship is not provided. Compensation is listed at €6,500–€9,000 gross, depending on experience, with equity options. Other offerings include flexible work, extra time off, a learning budget, equipment funding, and dedicated time for personal development.