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5 часов назад

Software Engineer - Engineering Productivity (AI)

146 200 - 190 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Software Engineer - Engineering Productivity (AI) (backend infrastructure and SDLC observability): Building telemetry pipelines, quality gates, load-testing systems, and synthetic-data architecture to improve deployment velocity and software reliability with an accent on platform engineering, production observability, and automated quality metrics. Focus on designing CI/CD enforcement, validating distributed systems under realistic load, and safely verifying AI-generated code and infrastructure.

Location: Remote in the United States or Canada; regular early-morning or evening calls may be required to collaborate with colleagues in Hong Kong.

Base salary: $146,200–$190,000 USD annually, plus equity and performance-based bonus opportunities.

Company

hirify.global develops Counterpart Assistant, an AI-enabled primary care tool that supports earlier diagnosis and chronic-condition management.

What you will do

  • Design and champion internal quality programs and reliability standards across engineering pods.
  • Build SDLC observability pipelines using APIs and platforms including GitHub, Linear, GCP, Sentry, Grafana, and incident.io.
  • Define and automate reporting for deployment and quality metrics such as change failure rate, deployment frequency, lead time, recovery time, and regression rate.
  • Architect shift-left performance, security, and accessibility gates within CI/CD pipelines.
  • Build load-testing, synthetic-data, and production-canary systems that isolate test traffic from real user telemetry.
  • Consolidate legacy testing infrastructure and use AI-assisted tooling to accelerate testing and infrastructure development.

Requirements

  • 5+ years of software engineering experience with proficiency in a common language such as Python or Go.
  • Experience with developer infrastructure, production telemetry, tool APIs, and engineering health metrics.
  • Experience building or refactoring complex distributed systems and using declarative infrastructure-as-code deployment patterns.
  • Experience with public cloud platforms such as GCP and/or AWS.
  • Hands-on experience or strong interest in load and performance testing with tools such as k6, Locust, Gatling, or JMeter, including safe synthetic-data handling.
  • Experience using AI testing tools and architectures, with strategies for validating AI-generated code and infrastructure before merging.

Nice to have

  • Experience with equivalent tools such as GitLab, Jira, or Datadog.
  • Experience with multiple load-testing frameworks, including k6, Locust, Gatling, or JMeter.

Culture & Benefits

  • Remote-first work environment with flexibility to work from home and collaborate across global time zones.
  • Medical, hospitalization, outpatient, optical, and dental coverage for employees and families.
  • Company holidays, No-Meeting Fridays, mental-health resources, generous annual leave, and paid parental leave.
  • Learning programs, mentorship, professional-development funding, and regular performance feedback.
  • Office setup reimbursement, equity opportunities, performance-based bonuses, and regular compensation reviews.

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