Counterpart Health

Counterpart Health

In 2018, Clover Health set out to do something unprecedented, build a clinically intuitive, AI-enabled solution that fits within physician's workflows to help support the earlier diagnosis and management of chronic conditions. Years later, that vision is a reality with thousands of practitioners using Counterpart Assistant during the patient visit to improve disease management, reduce medical expenses, and drive success in value-based care. With an exceptional team of value based care and technology experts, Counterpart Health is driving value based care at the speed of software.

hospital & health care
51-200
Founded 2024

Description

  • Design and champion internal quality programs and drive adoption of new reliability standards.
  • Build SDLC observability pipelines using APIs from internal development and monitoring tools.
  • Define, automate, and report key engineering quality metrics and deployment health indicators.
  • Architect shift-left pipeline gates for performance, security, and accessibility checks in CI/CD.
  • Build load and performance testing workflows for customer onboarding and production readiness.
  • Engineer synthetic data and live-production canary support while keeping test data isolated from real user telemetry.
  • Use AI assistants to accelerate testing frameworks, infrastructure code, and testing architecture.
  • Lead tooling consolidation away from legacy testing infrastructure toward a unified automation stack.
  • Write tests and document key implementations to support development practices and quality.

Requirements

  • 5+ years of software development experience with proficiency in one or more common languages such as Python or Go.
  • Experience working at a systems level with modern developer infrastructure and production telemetry.
  • Ability to query, combine, and process data from tool APIs such as GitHub, Linear, GCP, Sentry, Grafana, and incident.io, or equivalents like GitLab, Jira, or Datadog.
  • Experience instrumenting quality metrics such as Change Failure Rate, Deployment Frequency, Lead Time for Changes, Time to Restore, Regression Rate, Release Failure Rate, PR-failure rate, code review depth, SLIs/SLOs, or error budgets.
  • Strong product-oriented mindset with focus on outcomes and business impact.
  • Experience building and refactoring complex, often distributed systems.
  • Experience with declarative infrastructure as code (IaC) deployment patterns.
  • Experience with public cloud platforms such as GCP and/or AWS.
  • Hands-on experience with load and performance testing tools such as k6, Locust, Gatling, or JMeter, with safe synthetic data handling.
  • Experience using AI tools for testing and architecture, with clear validation practices for AI-generated code and infrastructure.
  • Excellent communication and collaboration skills across cross-functional teams.
  • Comfort working across time zones, including early-morning or evening calls with colleagues in Hong Kong.

Benefits

  • Competitive base salary of 115,000 CAD to 145,000 CAD.
  • Equity opportunities.
  • Performance-based bonus program.
  • Comprehensive medical coverage including hospitalization, outpatient, optical, and dental benefits.
  • Remote-first culture with flexibility to work from home.
  • No-Meeting Fridays, company holidays, and generous annual leave.
  • Access to mental health resources.
  • Learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
  • Reimbursement for office setup expenses.
  • Paid parental leave for all new parents.

Interested in this position?

Apply directly on the company website

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