M
Mirantis
Software Engineer (Backend, Go)
Skills
DockerTypescriptPythonMicroservicesPostgreSQLKafkaSwagger/OpenAPIGrafanaMachine LearningAIPrometheusGitHubKubernetes
13 days ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
8 October 2026
What they need
- We are looking for a backend engineer to build the Go services behind the k0rdent-ai platform — the multi-tenant control plane for enterprise GPU infrastructure
- As AI workloads scale globally, you will collaborate with engineering teams across the US, Europe, and India to design and develop the API-first services that power this ecosystem
- You will own features end to end — API contract, service, schema, orchestration, tests, and packaging — with senior engineers alongside you for design review and support
- We do not expect you to arrive knowing our whole stack; we expect strong Go and API fundamentals, and the appetite to learn the rest quickly
- Working within an agile framework, you will directly impact the reliability and correctness of the infrastructure our customers run in production
- Build Go microservices, model database schemas, and write migrations for the multi-tenant k0rdent AI platform
- Design public REST APIs with OpenAPI, along with multi-language SDKs
- Implement durable orchestration in Temporal — idempotency, retries, timeouts, determinism constraints
- Build event-driven, asynchronous communication between services on a distributed streaming or message-broker platform
- Implement authentication and authorization boundaries across an enterprise IAM platform and an API gateway — OIDC/JWT, service-to-service auth, tenant-scoped RBAC, gateway routing, and rate limiting
- Contribute to the identity model — standards-based user and group lifecycle provisioning (SCIM), and unifying authorization between the platform’s API permissions and Kubernetes-native RBAC
- Write unit, integration, and end-to-end tests as part of every change
- Instrument services for production — structured logging, metrics, and audit trails
- Package and ship services with Docker, Helm, and Kubernetes
- Review peers’ code and debug incidents to root cause with regression coverage- Clear written English for design docs, review comments, and asynchronous collaboration across global time zones
- Solid relational database skills — schema design, migrations, transactions, and query tuning
- Testing discipline: unit and integration tests are part of your definition of done, alongside code review and CI/CD (GitHub Actions or equivalent)
- 4-5 years of professional software engineering, including 2-3+ years building production backend services in Go (4+ years of Go preferred)
- Solid CS fundamentals: data structures, algorithms, concurrency, networking, and how HTTP and databases actually work
- Experience building and shipping REST APIs, and a working understanding of versioning and backward compatibility
- Bachelor’s degree in Computer Science, Software Engineering, or a related field — or equivalent demonstrated ability
- Strong Go fundamentals: concurrency, context propagation, error wrapping, stdlib HTTP routing (Go 1.22+)
- Candidates with strong Go and API design basics are evaluated primarily; prior familiarity with these tools is beneficial, though on-the-job mastery is anticipated
- Durable Workflow Execution: Temporal orchestrations
- Cloud-Native & Kubernetes Ecosystem: Container orchestration using Kubernetes, Cluster API, custom controllers and operators, Docker runtime, and deployment packaging through Helm charts
- Identity Federation & Ingress Gateway: Keycloak architecture (realms, client configurations, federated providers, auth token lifecycles) alongside Envoy or comparable edge proxies (traffic management, filter chains, rate limiting policies)
- Persistence & Event Infrastructure: Relational data persistence in PostgreSQL with database schema migration workflows, coupled with distributed streaming platforms like Apache Kafka or NATS JetStream messaging
- The “I’ll figure it out” instinct — you research, experiment, and read source code before asking to be unblocked, and you ask a well-formed question when you are
- Something you built and can walk us through in detail: what it does, why you designed it that way, and what you would change now
- Willingness to be reviewed rigorously and to treat feedback as the fastest way to get better
- Testing instinct — you can explain how you know your own code works
- Observability: Prometheus, Grafana, OpenTelemetry, audit logging
- Sqlc, OpenAPI codegen, or other schema-driven toolchains
- SCIM provisioning, or federating platform permissions with Kubernetes RBAC
- K0s ecosystem experience
- Multi-tenant SaaS or PaaS platform experience
- Exposure to GPU infrastructure or AI/ML workload scheduling on Kubernetes
- CNCF open-source contributions
- Security engineering: threat modeling, secret management, dependency and container scanning
- Python or TypeScript for E2E suites and client SDKs
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