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TemporalTemporal

Senior Professional Services Engineer

Senior Professional Services Engineer delivering and operating reliable Temporal implementations for customers and partners. The role combines hands-on coding, distributed-systems expertise, production operations, observability, technical enablement, and customer-facing delivery.

About the job

Responsibilities

  • Deliver production-ready Temporal implementations by co-building initial workflows with customer and partner engineering teams.
  • Implement and teach production-safe workflow patterns, including retries, timeouts, heartbeats, determinism, and versioning.
  • Identify and remove early activation blockers before they become escalations.
  • Help customers stand up and operate Temporal Server in production, including self-hosted environments.
  • Define worker deployment, scaling, and operational guardrails, including upgrade strategy, failure handling, and capacity planning.
  • Establish observability and reliability standards through metrics, alerts, and dashboards for workflows, workers, and Temporal Server.
  • Create reusable runbooks, templates, examples, and documentation to improve delivery quality across engagements.
  • Lead hands-on workshops and training for customer and partner engineers.
  • Own complex technical delivery issues end-to-end, partnering with Support and Platform Architects to reduce escalations to Engineering.
  • Provide product and engineering feedback based on 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.
  • Comfortable 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.

Nice-to-haves

  • Experience with workflow orchestration systems, distributed task processing, or durable execution concepts.
  • Experience building observability programs, including dashboards, alerting strategies, and operational maturity models.
  • Experience creating reusable reference architectures, templates, or internal enablement programs.
  • Strong partnership skills with product and engineering teams.
  • Experience working with partners or services delivery models at scale.

Compensation

  • Annual salary range: $132,600–$174,037.

Skills

Temporal, Go, Java, Python, TypeScript, Distributed Systems, Workflow Orchestration, Observability, Incident Response, Kubernetes, Capacity Planning, Runbooks

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