
Senior Software Engineer | Platform Engineering
Primary stack
Nice to have's
Job description
About the Position
Senior Software Engineer | Platform Engineering
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. 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.
About the Role
The Platform team builds and maintains the CI/CD pipeline, observability, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products.
Responsibilities
- Design, build, and operate the CI/CD pipelines every engineering team ships through.
- Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production.
- Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop.
- Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround.
- Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure.
- Contribute to the platform roadmap and backlog – shape what gets built next for the engineers who depend on you.
Requirements
- Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices – not just make something work.
- Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
- Experience in platform engineering – you’ve built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure).
- Experience with AI coding agents and agentic development workflows.
- You’ve personally driven a complex project end-to-end.
- Strong debugging, optimization, and performance-tuning skills.
- Strong English skills, both verbal and written.
- Startup mindset: adaptable, proactive, and comfortable with ambiguity.
- Participate in on-call rotation for teams that require it.
Nice to Have
- Kubernetes operators, Helm chart authoring, admission webhooks.
- Internal developer platform (IDP) design – golden paths, self-service tooling, service catalogs.
- Local development environment tooling (devcontainers, Tilt, Skaffold, or similar).
- Kubernetes or cloud-native OSS contributions.
Tools We Use Daily
- Programming Language: Go
- Cloud & Orchestration: Kubernetes, GCP, AWS, Azure
- Infrastructure as Code: Terraform
- Databases & Storage: ClickHouse, Cloud Object Storage
- Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
- Observability: Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo
- CI/CD & GitOps: GitLab CI, ArgoCD, Kargo
We Offer
- Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
- You’ll be expected to travel to Vilnius for onboarding – travel costs are covered by the company.
Hiring Process
- Screening call with Recruiter
- Hiring Manager interview
- Technical interview (system design)
- Live coding
- Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.
About the Company
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We’re headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we’re just getting started.
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CAST AI is the leading all-in-one platform for Kubernetes automation, optimization, security, and cost management.