Temporal Technologies Logo

Temporal Technologies

Senior Engineering Manager - Test Systems & Tooling

Posted 12 Days Ago
Remote
Hiring Remotely in United States
214K-352K Annually
Senior level
Remote
Hiring Remotely in United States
214K-352K Annually
Senior level
Lead and grow a team building shared test systems, production-like environments, workload testing capabilities, failure-mode validation, and engineering test frameworks. Drive system-level coverage, cross-team alignment, measurable improvements in pre-production confidence, and integration of validations into continuous or release pipelines. The role requires strong distributed-systems expertise, internal platform delivery experience, organizational influence, and the ability to translate production incidents into preventative test coverage.
The summary above was generated by AI
Role Summary

Temporal’s reliability is fundamental to why customers choose us—and as our customers run increasingly critical workloads on the platform, our ability to confidently test changes must scale with that responsibility.

As a Senior Engineering Manager on the Test Systems & Tooling team, you will lead a team responsible for building the shared systems, environments, and tooling that enable Temporal engineers to validate the platform under production-like and adverse conditions. You’ll help ensure system-level testing gaps don’t fall through organizational boundaries by driving cross-team alignment, clear ownership, and measurable improvements in pre-production confidence.

What You'll Do
  • Lead and grow the Test Systems & Tooling team: Hire, coach, and develop engineers building shared testing capabilities used across Engineering.

  • Make production-like testing practical: Improve the ability for engineers to create test environments that resemble production topology, configuration, scale, and behavior—so reproducing issues and validating changes is faster and more reliable.

  • Enable production-representative workload testing: Build or evolve capabilities such as workload replay, realistic workload generation, multi-tenant testing, load testing, and stress testing to surface behaviors that only emerge at scale.

  • Drive failure-mode validation: Establish repeatable ways to test Temporal through real failure conditions (e.g., dependency failures, latency injection, resource exhaustion, degraded-state recovery, and regional failure scenarios).

  • Create shared frameworks and guidance: Provide opinionated testing frameworks, patterns, and tooling that make it easier for product teams to write high-quality tests consistently, with visibility into test health and systemic gaps.

  • Own system-level coverage outcomes: Identify critical system-level scenarios that need explicit coverage, drive them to completion (often through partner teams), and ensure they’re integrated into continuous and/or release validation.

  • Collaborate across org boundaries: Partner closely with Cloud/Infrastructure, Reliability, Release Engineering, and product teams to turn production learnings into stronger pre-production detection.

What You'll Bring
  • Experience managing and developing a high-performing engineering team (including direct reports), with strong coaching, feedback, and performance management skills.

  • Strong technical background building or operating reliable distributed systems (or adjacent platform infrastructure) and the judgment to prioritize the failure modes that matter most.

  • Track record delivering internal platforms/tooling adopted by many teams—balancing ergonomics, speed, and long-term maintainability.

  • Comfort operating in ambiguous problem spaces where success depends on aligning stakeholders, clarifying ownership, and driving execution across multiple teams.

  • Ability to define and drive measurable outcomes (adoption, confidence signals, reduced escaped issues, faster incident-to-coverage time), not just ship tooling.

Nice to Have
  • Experience with large-scale testing practices: chaos engineering, fault injection, workload replay/shadowing, performance testing, or multi-tenant test strategy.

  • Experience partnering with Release Engineering or CI/CD platform teams to institutionalize validations in pipelines.

  • Familiarity with observability and incident response practices, and translating incident learnings into preventative test coverage.

Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.

Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Similar Jobs

2 Hours Ago
Remote or Hybrid
220K-260K Annually
Senior level
220K-260K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Lead research and development of large-scale multimodal foundation models for precision medicine using clinical and molecular data. Responsibilities include model architecture, pretraining, representation learning, self-supervised and multimodal learning, downstream clinical applications, scientific publication, technical leadership, and validation for healthcare and life sciences products. The role requires collaboration across research, engineering, regulatory, and product teams.
Top Skills: PythonPyTorch
4 Hours Ago
Remote or Hybrid
42K-88K Annually
Senior level
42K-88K Annually
Senior level
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Field sales professional responsible for retaining and growing revenue from an assigned book of dealer clients. Will perform consultative, solutions-based selling at client locations, collaborate across Cox Automotive teams, leverage Salesforce, and travel extensively (about 80%). Compensation includes base salary plus commission/incentive.
Top Skills: Salesforce
4 Hours Ago
Remote or Hybrid
MI, USA
79K-118K Annually
Senior level
79K-118K Annually
Senior level
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Manages sales of Dealer.com and Cox Automotive products to franchise dealerships across Michigan and Ohio. Builds relationships with dealership decision-makers, consultatively sells and demonstrates solutions, closes complex opportunities, grows territory revenue, and meets sales targets. Provides industry insights, develops consensus among stakeholders, manages existing accounts, and supports territory coverage. This remote role requires the candidate to live in the territory and travel extensively, typically 70% or more.
Top Skills: CdkDealer.ComDealersocketReynolds And ReynoldsRouteone

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account