Tech Stack / Keywords
Podsumowanie oferty
Build and operate backend services for Cast AI’s trust and accounting layer, covering authentication, billing, cloud pricing, and savings reporting. Own features end to end, with Go and Kubernetes among the core technologies.
Wymagania
- Strong software engineering fundamentals, including designing clean abstractions, writing maintainable code, and justifying architecture choices.
- Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
- Experience building or operating trust-critical systems at scale, such as authentication and authorization, billing, or financial and accounting-adjacent data.
- Good understanding of API design best practices, including versioning, backward compatibility, authentication, idempotency, and asynchronous patterns.
- Strong debugging, optimization, and performance-tuning skills, including query profiling, index design, and database performance tuning beyond ORM usage.
- Experience operating and optimizing systems under high load.
- Hands-on experience with Kubernetes, including its core concepts and deploying or debugging on a cluster.
- Experience with AI coding agents and agentic development workflows.
- Personally driven a complex project end to end.
- Strong spoken and written English.
- Adaptable, proactive, and comfortable with ambiguity.
- Participate in an on-call rotation for teams that require it.
Nice to have:
- Multi-tenant identity system design, including authentication, authorization, and SSO.
- Enterprise identity protocols: SAML, OIDC, and SCIM.
- Production experience with billing, audit-trail, notification, or feature-flag systems.
- Experience with cloud provider pricing or billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability.
- Experience with high-cardinality time-series ingestion and querying at scale.
- Understanding of Kubernetes internals.
- Experience with CI/CD and DevOps practices.
- Production experience with observability tools such as Prometheus, Grafana, and OpenTelemetry.
Obowiązki
- Design, build, and operate backend services in Go that other teams and customers depend on.
- Own features end to end, from design through implementation, testing, and production rollout.
- Debug complex production issues involving security-, money-, or trust-critical flows.
- Collaborate with product and engineering teams to solve problems without textbook solutions.
- Contribute to product direction and the backlog.
- Build systems for authentication, authorization, and SSO; billing, audit trails, notifications, and feature flags; real-time cloud pricing and Spot availability tracking; and reporting on high-volume time-series data.
Benefity
- Equity options.
- Spend 10% of work time on personal projects or self-improvement.
- Learning budget for professional and personal development, including international conferences and courses.
- Annual hackathon.
- Team-building budget and company events.
- Equipment budget.
- Extra days off.
- Travel costs covered for onboarding in Vilnius.
Udziały pracownicze
Dofinansowanie szkoleń
Budżet konferencyjny
Spotkania integracyjne
Płatny urlop
Inne informacje
- Participate in an on-call rotation for teams that require it.
- Travel to Vilnius for onboarding.
CAST AI
5 aktywnych ofert