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Temporal Verified
Software Infrastructure, Developer Tools, Distributed Systems, SaaS, Open Source

Staff Software Engineer, Compute (Temporal Cloud)

RemoteRemoteFull TimeStaffPosted 2 days agoVisa sponsorship available

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Required skills

  • compute primitives
  • managed compute
  • Temporal Cloud
  • autoscaling systems
  • multi-tenant safety
  • control plane
  • data plane
  • SLOs
  • tracing
  • metrics

Nice to have

  • cloud infrastructure platforms
  • IAM
  • security boundaries
  • cross-account execution
  • Kubernetes controllers
  • CRDs

Role summary

Temporal is seeking a Staff Software Engineer for their Compute team to build managed compute primitives for Temporal Cloud. This role involves inventing and designing autoscaling systems, defining compute boundaries, and architecting/operating services on the critical path of task execution. The engineer will focus on making compute transparent, elastic, safe, observable, and multi-cloud. Responsibilities include delivering cloud integrations, ensuring operability through SLOs and metrics, and leading through technical influence and mentorship. Experience with distributed systems, multi-tenant platforms, and systems fundamentals is required. Cloud infrastructure, IAM, Kubernetes, and Go experience are preferred.

Role Summary

Temporal powers durable execution for the world’s most demanding AI and enterprise systems. The Compute team at Temporal makes that durability feel effortless by building the managed compute primitives that run workers and other execution systems across Temporal Cloud.

We’re solving a hard platform problem: make compute transparent, elastic, safe-by-default, observable, and multi-cloud — without turning customers into infrastructure operators. We build platform primitives that span a variety of execution environments (e.g., serverless-style runtimes, containerized fleets, and customer-controlled deployments). Our work sits at the intersection of control plane + data plane: scaling decisions, isolation boundaries, multi-tenant safety, and production-grade observability. If you’ve built autoscaling systems, multi-tenant platforms, or cloud infrastructure, you’ll find a lot to love here.

See the "Compute team" link to read more --> Compute team

What You'll Do

Invent

  • Create new managed compute primitives that feel first-class in Temporal Cloud: crisp abstractions, clean APIs, and an extension story across compute providers.

  • Design self-optimizing autoscaling systems (signals, backstops, debouncing, guardrails) that scale worker fleets safely and predictably.

  • Define the Open Source Server ↔ Cloud boundary for compute capabilities, keeping the architecture cohesive and maintainable.

Own

  • Architect, build, and operate services on the hot path of task execution where performance and correctness are customer-visible.

  • Deliver real-world cloud integrations (e.g., customer-account execution): IAM boundaries, secure credentials handling, networking constraints, quotas, and failure modes.

  • Make operability a feature: SLOs, tracing/metrics, load and failure testing, incident reviews, and continuous hardening.

  • Ship end-to-end: API design, rollout strategy, backwards compatibility, and long-term maintenance.

Teach

  • Raise the bar through design docs, strong reviews, pragmatic technical leadership, and mentorship.

  • Lead through influence across teams (Server, SDKs, Security, Control Plane) to land coherent platform changes.

What You'll Bring

  • Significant experience building distributed systems or multi-tenant platform services (design, implementation, and production operations).

  • Strong systems fundamentals: concurrency, performance, reliability, and failure-mode thinking.

  • A record of shipping platform primitives used by other engineers/customers (APIs, control planes, data planes).

  • Comfort owning outcomes: SLOs, incident response, and improving on-call quality over time.

  • Excellent written communication and crisp trade-off thinking. (Go experience is a plus; judgment matters most.)

Super to Have

  • Experience building cloud compute platforms spanning physical servers, CPU/GPU resources, virtual machines, container orchestration, and networking.

  • Experience extending Kubernetes through custom controllers and CRDs, and operating heterogeneous Kubernetes worker fleets.

  • Experience with IAM/security boundaries for cross-account execution models.

Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.

Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

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