Software Developer – Engineering Productivity

Clover Health

Software Developer driving engineering productivity for healthcare solutions. Engage with stakeholders and improve engineering processes through SDLC observability.

Posted 7/31/2026full-timeRemote • 🇨🇦 CanadaMid-LevelSenior💰 CA$115,000 - CA$145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing quality programs, building observability pipelines, and establishing key quality metrics. Proficient in leveraging AI tooling and modern developer infrastructure to enhance software reliability and performance.

Highest-signal resume keywords

Quality Program DesignSDLC Observability PipelinesKey Quality Metrics InstrumentationLoad and Performance TestingDeclarative Infrastructure as Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoLoad TestingPerformance TestingDeclarative Infrastructure as CodeSynthetic Data InjectionCI/CD Pipeline AutomationAPI IntegrationQuality Metrics ReportingGenerative AI Tooling

Soft Skills

Product-Oriented MindsetOutcome Focused

Tools & Technologies

GitHubLinearGCPSentryGrafanaIncident.ioAWSK6LocustJMeter

Industry Keywords

Change Failure RateDeployment FrequencyLead Time for ChangesTime to RestoreRegression RateRelease Failure RatePR-Failure RateSLIsSLOsError Budgets

Tech Stack

Tools & technologies

AWSCloudGoGoogle Cloud PlatformGrafanaJMeterPythonSDLC

About the role

Key responsibilities & impact

Design and champion internal Quality Programmes: Drive engineering-wide process changes and ensure pods adopt new reliability standards without friction.
Build SDLC observability pipelines: Harness the APIs across our existing stack (GitHub, Linear, GCP, Sentry, Grafana, incident.io) to collect, aggregate, and visualize engineering and quality telemetry.
Define and enforce hard metrics: Establish and automate reporting for the Key Quality Indicators that describe deployment health.
Architect Shift-Left Pipeline Gates: Weave automated Performance, Security, and Accessibility checks directly into the CI/CD pipeline.
Build Real-World Load Testing: Shift load and performance testing left for every customer onboarding.
Engineer Synthetic Data & Production Canaries: Build the architecture for safe synthetic data injection.
Leverage Generative AI Tooling: Actively utilize AI assistants to accelerate the development of testing frameworks.
Drive Tooling Consolidation: Lead the technical migration away from legacy testing infrastructure.
Help define and maintain development practices: Enable fast iteration while ensuring quality.

Requirements

What you’ll need

5+ years of experience in software with proficiency in one or more common languages (e.g., Python, Go), and are comfortable working across different technical systems and concerns.
Worked at a systems level with modern developer infrastructure and production telemetry, and can query, combine, and process data from tool APIs — ours are GitHub, Linear, GCP, Sentry, Grafana and incident.io, but equivalents like GitLab, Jira or Datadog count just as much. You have built the mechanisms that make engineering health visible.
Personally instrumented hard quality metrics — several of Change Failure Rate, Deployment Frequency, Lead Time for Changes, Time to Restore, Regression Rate, Release Failure Rate, PR-failure rate, code review depth, or SLIs/SLOs and error budgets.
Strong product-oriented mindset, care about outcomes over output, and want to understand the "why" behind what you build.
Experience building and refactoring complex (often distributed) systems and 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 (k6, Locust, Gatling, JMeter), including handling synthetic data safely.
AI experience in testing tools and architecture, knowing how to build systems with AI agents as partners, and having strategies for verifying and validating AI-generated code.

Benefits

Comp & perks

Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program and regular compensation reviews to recognize and reward exceptional contributions.
Physical Well-Being: We prioritize the health and well-being of our employees and their families by offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits.
Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, company holidays, access to mental health resources, and a generous annual leave policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
Professional Development: We are committed to developing our talent professionally. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
Additional Perks: Reimbursement for office setup expenses, Flexibility to work from home, enabling collaboration with global teams, Paid parental leave for all new parents, And much more!