Senior Professional Services Engineer - West
TemporalUnited States - Remote Opportunity · Remote · full time · Senior
$160,000 – $200,000
Listed on Temporal’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role helps Temporal's customers build and operate reliable workflow systems in production, combining hands-on implementation work with knowledge transfer to make their teams self-sufficient. You'll work directly with engineering teams to establish patterns, standards, and operational practices that scale across deployments.
Our summary, not Temporal’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Experience delivering and operating production systems where reliability and incident response matter
- Strong understanding of distributed systems, failure modes, scaling tradeoffs, and operational safety
- Hands-on coding ability in at least one major language (Go, Java, Python, or TypeScript)
- Experience deploying and operating production services in cloud and/or self-hosted environments
- Ability to design and communicate operational standards including on-call readiness, runbooks, and capacity planning
- Comfort working directly with customers in high-stakes delivery moments with a calm and credible approach
- Strong debugging skills and ability to navigate ambiguity and messy real-world constraints
- Ability to teach and enable other engineers, not just deliver work directly
Nice to have
- Experience with workflow orchestration systems, distributed task processing, or durable execution concepts
- Track record of building observability programs including dashboards, alerting strategies, and operational maturity models
- Proven ability to create reusable reference architectures, templates, or internal enablement programs
- Strong partnership skills to collaborate with product and engineering teams and translate field learnings into roadmap improvements
- Background working with partners or services delivery models at scale