Founding Backend / Platform Engineer

NOTE:
Please fill in the form linked here which is being used as an initial screening filter for the applicants. Link: MeshOS AI: Founding Backend Engineer – Fill out form

We will consider contract and part time roles as well. Please indicate so in the form.

About MeshOS

MeshOS is building an AI teammate for hardware engineers — software that helps hardware teams run engineering workflows faster, with higher quality and lower cost. We’re productizing an agentic engineering stack into a secure, reliable, multi-tenant SaaS.

About The Role

We’re hiring a Founding Platform / Backend Engineer to bring MeshOS from prototype to mission-critical infrastructure for hardware teams. You’ll own end-to-end platform engineering — cloud, identity, multi-tenancy, security, orchestration — and the runner infrastructure that executes real engineering tools safely and returns verifiable, versioned artifacts.

What You’ll Own (Core)

You will own a meaningful subset of the following, with clear prioritization:

• Cloud/Infra end-to-end: deploy and operate MeshOS in AWS/GCP (networking, TLS, environments, IaC, CI/CD, containers/K8s), production hygiene, cost/perf visibility.
• Multi-tenant foundation: tenant scoping/isolation, authorization boundaries, data segregation, audit logging.
• Enterprise identity (soon): implement SSO (SAML/OIDC) and SCIM provisioning, plus admin controls and audit-ready access patterns.
• Backend APIs: design and ship core APIs (REST primarily; gRPC/GraphQL optional) and internal interfaces for connectors/runners.
• Workflow orchestration: long-running job execution with queues/state machines, durable job state, retries/backoff, idempotency, timeouts, partial failure handling, cancellation.
• Connector / tool execution (“runner” platform): sandboxed execution of external tools (e.g., CAD/CAE scripts, document pipelines), artifact capture/storage, streaming logs/progress, safe retries, and strong isolation boundaries.
• Data & persistence: Postgres schema design, migrations, versioning, metadata/lineage, atomic writes/snapshotting for jobs and artifacts.
• Security & reliability baseline: secrets management, secure file handling/path hygiene, tenant-level quotas/rate limiting, structured logging + metrics/traces, dashboards/alerts.
• Testing strategy: unit/integration/contract tests for critical flows; pragmatic regression coverage for workflows and tool execution.

What Success Looks Like (First 60–90 Days)

• A hardened multi-tenant backend foundation (tenant scoping end-to-end + audit logs + clear authZ model).
• A reliable workflow engine (queues + state machine) with idempotent execution, cancellation, and durable job state.
• A production-ready runner/connector execution path (sandboxed jobs + artifact storage + streaming logs/progress).
• Enterprise identity groundwork shipped or actively shipping (SSO first, SCIM soon after), with strong operational visibility (logs/metrics/traces).

Requirements (Must-have)

• Strong backend/platform engineering experience shipping production systems.
• End-to-end cloud ownership experience in AWS/Azure/GCP: environments, networking/TLS, CI/CD, containers, and on-call/debug mindset.
• Infrastructure-as-code experience (Terraform/CDK/Pulumi or equivalent).
• Deep Node.js/TypeScript: async/await, error handling, streams/file I/O, service/process orchestration.
• Strong Postgres fundamentals: schema design, indexing, migrations, performance debugging.
• Built async job/workflow systems: queues, schedulers/state machines, retries/backoff, timeouts, idempotency, partial failure handling.
• Security fundamentals for B2B SaaS: tenant isolation/scoping, RBAC (or similar), audit logs, secrets hygiene, secure file handling.

Nice-to-have

• Shipped SSO (SAML/OIDC) and/or SCIM in B2B SaaS (or deep identity/auth experience).
• Built remote execution systems / worker fleets / sandboxed runners (containers/VM isolation, artifact capture, streaming logs).
• Observability stack depth (OpenTelemetry, trace correlation, SLOs) and reliability patterns (circuit breakers, backpressure).
• Vector DB / retrieval systems experience (embeddings, similarity search, caching, hybrid search).
• Familiarity with CAD/CAE/CFD software tools.
• TypeScript/Node.js, Postgres, queues/workflows, containers/K8s, IaC, plus vector DB + LLM APIs where needed.

How to Apply

Please fill in the form linked at the top of the posting.

Equal Opportunity Employer

We value diversity and encourage applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

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Compensation & Benefits**

• Base salary: USD 140,000 – USD 200,000
• Equity (for full time exempt only): Upto 2.5% (base salary dependent – please check the form above)
• Benefits (for full time exempt only): Health insurance, 401(k) plan with company contributions, travel allowance to relevant conferences, PTO.