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# Software Engineer, Cloud Capacity

- **Company:** Temporal Technologies Inc.
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Cloud Computing, Distributed Systems, Computer Networking Systems, Kubernetes, Build Tools
- **Published:** October 12, 2026
- **Apply:** https://startup.jobs/senior-software-engineer-cloud-capacity-temporal-io-10441871

## About the Role

* Proven experience contributing to large-scale infrastructure efforts spanning cloud compute, storage, and networking systems.
 * Strong product and operational intuition around managing cloud costs, utilization tracking, and workload forecasting.
 * A track record of designing distributed systems and services in a production cloud environment (preferably AWS, GCP, or Azure).
 * Hands-on experience with container orchestration technologies (e.g., Kubernetes) and the surrounding ecosystem.
 * Exceptional collaboration and communication skills-you influence through clarity, and you bring others along for the journey.
 * Comfortable aligning cross-functional stakeholders on complex infrastructure problems, including executives and finance partners.
 * 7+ years of experience building production software using Go, Java, or similar languages.

## Description

The Cloud Capacity team plays a critical role in ensuring the Temporal Cloud is scalable, efficient, and reliable for our customers' most important workloads. As a Senior Engineer, you'll lead high-impact initiatives to build systems that intelligently manage and forecast resource needs, directly influencing our infrastructure efficiency, customer experience, and platform cost strategy.

What You'll Do

 * Drive the technical vision and roadmap for Temporal's Cloud Capacity systems in partnership with engineering and product leadership.
 * Design and implement infrastructure to track resource utilization, forecast consumption, and support automated capacity planning at scale.
 * Lead development of a resource manager that optimizes infrastructure efficiency based on usage trends, cost insights, and evolving customer needs.
 * Collaborate cross-functionally with Product, Cloud Infrastructure, and Finance to inform business-critical decisions around provisioning, pricing, and scaling.
 * Guide long-term strategy to support intelligent autoscaling, workload isolation, and predictable performance in a multi-tenant cloud environment.