
51 - 200 employees
Founded 2018
💼 Consulting
🏭 Manufacturing
📣 Marketing
💰 $75M Series B on 2023-02
Consulting • Manufacturing • Marketing
Temporal Technologies is a company that provides a platform for durable execution, helping developers build resilient applications by managing failures, network outages, and long-running processes. Their technology abstracts away the complexity of building scalable distributed systems, allowing developers to focus on delivering reliable systems faster. Temporal simplifies code by eliminating recovery logic, callbacks, and timers, making software more durable and fault tolerant. The platform supports a wide variety of applications, from transaction processing to applied AI, and is favored by developers for its ease of use and reliability. Temporal is open-source and offers both self-hosted and managed cloud services in multiple regions, enabling scalable, serverless application development.
🔥 27 minutes ago
🇺🇸 United States – Remote
💵 $169.6k - $278.3k / year
⏰ Full Time
🔴 Lead
⚙️ Software Development Engineer in Test (SDET)
🦅 H1B Visa Sponsor
👻 Ghost score 3%
Where this job comes from
Posted on Temporal Technologies's careers page, not through a job board
First seen by Remote Rocketship 27 minutes ago

51 - 200 employees
Founded 2018
💼 Consulting
🏭 Manufacturing
📣 Marketing
💰 $75M Series B on 2023-02
Consulting • Manufacturing • Marketing
Temporal Technologies is a company that provides a platform for durable execution, helping developers build resilient applications by managing failures, network outages, and long-running processes. Their technology abstracts away the complexity of building scalable distributed systems, allowing developers to focus on delivering reliable systems faster. Temporal simplifies code by eliminating recovery logic, callbacks, and timers, making software more durable and fault tolerant. The platform supports a wide variety of applications, from transaction processing to applied AI, and is favored by developers for its ease of use and reliability. Temporal is open-source and offers both self-hosted and managed cloud services in multiple regions, enabling scalable, serverless application development.
• Design and evolve tooling for production-like test cells that resemble production topology, configuration, and behavior • Build workload generation, multi-tenant testing, stress/load testing, and traffic replay or replay-like capabilities • Create tooling for repeatable failure-mode testing, including latency, dependency faults, resource exhaustion, degraded-state recovery, and region-level failures • Identify hard-to-test system-level scenarios and implement repeatable continuous or release validation coverage • Build shared libraries, harnesses, and patterns for system and integration testing • Mentor engineers and influence testing strategy through design documents, code reviews, and cross-team collaboration • Partner with Cloud/Infrastructure, Reliability, and Release Engineering to convert incident learnings into pre-production coverage and release-pipeline validations
• Strong software engineering fundamentals • Experience building and operating production-quality systems, including platforms, infrastructure, developer tooling, or distributed systems • Demonstrated technical leadership of ambiguous, cross-team initiatives • Experience with observability, debuggability, and operational readiness, including metrics, logs, tracing, safe rollouts, and failure analysis • Ability to collaborate across Cloud/Infrastructure, Reliability, Release Engineering, and product teams • Strong written communication skills for design documents, testing strategy proposals, and documentation • Experience with chaos engineering, fault injection, workload replay/shadowing, performance testing, or multi-tenant test strategy is nice to have • Experience building internal engineering platforms, paved roads, self-serve environments, or shared frameworks is nice to have • Familiarity with measuring engineering/system outcomes is nice to have
• Equity • Reasonable accommodation for individuals with disabilities • AI interview recording opt-out without impact on candidacy
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