7 часов назад
Software Developer - Engineering Productivity
115 000 - 145 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Developer - Engineering Productivity (Backend Infrastructure/SDLC Observability): Building internal quality platforms, telemetry pipelines, and automated reliability gates for engineering teams with an accent on developer infrastructure, deployment health metrics, and production-safe testing. Focus on designing CI/CD performance, security, and accessibility checks, building load-testing and synthetic-data systems, and validating AI-generated infrastructure and code.
Location: Remote - Canada. Regular early-morning or evening calls are required to collaborate with colleagues in Hong Kong.
Base salary: 115,000–145,000 CAD per year, plus equity and performance-based bonus opportunities.
Company
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 from GitHub, Linear, GCP, Sentry, Grafana, and incident.io.
- Define and automate reporting for deployment and quality metrics, including change failure rate, deployment frequency, lead time, recovery time, and regression rate.
- Architect CI/CD pipeline gates for automated performance, security, and accessibility checks.
- Build load-testing, synthetic-data, and production-canary systems that isolate test traffic from real user telemetry.
- Consolidate legacy testing infrastructure and use AI tooling to accelerate testing frameworks and infrastructure development.
Requirements
- 5+ years of software development experience and proficiency in one or more common programming languages such as Python or Go.
- Experience with developer infrastructure, production telemetry, tool APIs, distributed systems, and declarative infrastructure as code.
- Hands-on experience instrumenting engineering-quality metrics, SLIs/SLOs, or error budgets.
- Experience with public cloud platforms such as GCP or AWS.
- Experience or interest in load and performance testing with tools such as k6, Locust, Gatling, or JMeter, including safe synthetic-data handling.
- Ability to work cross-functionally, communicate effectively, and validate AI-generated code and infrastructure before merging.
Nice to have
- Experience with equivalent tools such as GitLab, Jira, or Datadog.
- Hands-on experience with k6, Locust, Gatling, or JMeter.
Culture & Benefits
- Remote-first work environment with flexibility for collaboration across global time zones.
- Comprehensive medical, hospitalization, outpatient, optical, and dental coverage.
- No-Meeting Fridays, company holidays, mental health resources, and generous annual leave.
- Learning programs, mentorship, professional development funding, and regular performance feedback.
- Equity opportunities, performance-based bonuses, office setup reimbursement, and paid parental leave.
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