Temporal Technologies

Temporal Technologies

Staff Software Engineer, Test Systems & Tooling

United States (Remote) · Staff+

Sponsorship not specified$212k-$278kDetected 56 days ago
Distributed SystemsCode ReviewTemporalLoad TestingLeadershipCommunication

Stay score

odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

11 transfer filings in the last year, covering 11 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • All employment is decided on the basis of qualifications, merit, and business need.
  • We embrace and celebrate differences and diversity.

Responsibilities

  • Build production-like test environments: Design and evolve tooling that makes it easy for engineers to spin up test cells that resemble production topology, configuration, and behavior, in partnership with Cloud/Infrastructure.
  • Enable production-representative workloads: Build capabilities for workload generation, multi-tenant testing, stress/load testing, and (where appropriate) traffic replay or replay-like systems to reproduce production behaviors in controlled environments.
  • Make failure-mode testing repeatable: Create tooling for injecting and validating failure conditions (latency, dependency faults, resource exhaustion, degraded-state recovery, and region-level failure scenarios) so we test them deliberately-not just learn from production.
  • Build shared frameworks and paved paths: Provide opinionated libraries, harnesses, and patterns that make it easier for product teams to write high-quality system and integration tests consistently.
  • Raise the technical bar through leadership: Mentor engineers and influence testing strategy across the org through design docs, code reviews, and cross-team collaboration.
  • Strong software engineering fundamentals and experience building and operating production-quality systems (platforms, infrastructure, developer tooling, or distributed systems).
  • Strong written communication skills (design docs, testing strategy proposals, and documentation that scales adoption).
  • Experience building internal platforms used broadly across an engineering org (paved roads, self-serve environments, shared frameworks).

Requirements

  • Experience with chaos engineering, fault injection, workload replay/shadowing, performance testing, or multi-tenant test strategy.

Skills

  • Temporal Technologies is an Equal Opportunity Employer.

Compensation

  • $212k-$278k

Benefits

  • Partner across Engineering: Work closely with Reliability and Release Engineering to turn incident learnings into durable pre-production test coverage and to integrate validations into the release pipeline.
  • Familiarity with measuring engineering/system outcomes (e.g., signal quality, coverage gaps closed, incident-to-coverage time, adoption).

Equal opportunity

  • 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.

This listing is sourced directly from Temporal Technologies's careers page and normalized into a canonical job model.