Posted 4 weeks ago

Software Engineer (Backend, Go)

Mirantis

Remote · United States 🇺🇸

Remote
Full Time
Kafka
Kubernetes
Python
Software Engineering

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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