Senior Software Engineer, Compute (Temporal Cloud)

About the role

Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer's toolbox, and are building the team that will make that happen. Our values guide us -they are present in how we show up, make decisions, and work together to make an impact. We're curious, driven, collaborative, genuine and humble. Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you! Senior Software Engineer, Compute (Temporal Cloud) 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 - [new window opens] As part of this role, you will: 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 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 tradeoff thinking. (Go experience is a plus; judgment matters most.)

Requirements

• Experience building cloud infrastructure platforms.
• Experience with IAM/security boundaries for cross-account execution models.
• Having built Kubernetes controllers / CRDs or heterogeneous worker fleet operations.

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