
Senior Professional Services Engineer - East
Temporal Technologies3 months ago
Base Salary
$133k - $174k/yr
Responsibilities
- Deliver production-ready Temporal implementations by co-building workflows with customer and partner engineering teams.
- Implement and teach production-safe workflow patterns involving retries, timeouts, heartbeats, determinism, and versioning.
- Help customers deploy and operate Temporal Server in cloud and self-hosted environments.
- Define worker deployment, scaling, upgrade, failure-handling, capacity-planning, observability, and reliability standards.
- Create repeatable runbooks, templates, examples, documentation, workshops, and training.
- Own complex technical delivery issues end-to-end and partner with Support and Platform Architects to reduce escalations.
- Provide product and engineering feedback based on real-world implementation patterns and failure modes.
Requirements
- 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 such as Go, Java, Python, or TypeScript.
- Experience deploying and operating production services in cloud or self-hosted environments.
- Ability to design and communicate operational standards including on-call readiness, runbooks, and capacity planning.
- Comfort working directly with customers during high-stakes delivery situations.
- Strong debugging skills and ability to navigate ambiguity and real-world constraints.
- Ability to teach and enable other engineers.
- Preferred experience with workflow orchestration systems, distributed task processing, or durable execution.
- Preferred experience building observability programs, reusable reference architectures, templates, or enablement programs, and working with partners or services delivery models at scale.
Tech Stack
Categories
Solutions Engineering
About Temporal Technologies
Temporal Technologies builds an open-source durable workflow platform that software teams use to orchestrate long-running, stateful application logic across services. It monetizes through a managed cloud offering and commercial support for its server and SDKs. Founded in 2019 and headquartered in Bellevue, Washington, it lists public adopters such as Netflix, Snap, Indeed, and Datadog.