
501 - 1000 employees
🏥 Healthcare
🛡️ Insurance
🤖 Artificial Intelligence
Healthcare • Insurance • Artificial Intelligence
Clover Health is a healthcare technology company helping members live their healthiest lives with our Medicare Advantage plans. Focused on seniors who have historically lacked access to affordable and high-quality healthcare, Clover aims to provide care sustainably by improving medical outcomes while simultaneously lowering avoidable costs. They leverage a proprietary software platform, the Clover Assistant, to aggregate patient data and offer real-time recommendations to healthcare providers. Their services include affordable Medicare Advantage plans, a home care program, and they manage care for Medicare Advantage members across several U. S. states.
🔥 25 minutes ago
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501 - 1000 employees
🏥 Healthcare
🛡️ Insurance
🤖 Artificial Intelligence
Healthcare • Insurance • Artificial Intelligence
Clover Health is a healthcare technology company helping members live their healthiest lives with our Medicare Advantage plans. Focused on seniors who have historically lacked access to affordable and high-quality healthcare, Clover aims to provide care sustainably by improving medical outcomes while simultaneously lowering avoidable costs. They leverage a proprietary software platform, the Clover Assistant, to aggregate patient data and offer real-time recommendations to healthcare providers. Their services include affordable Medicare Advantage plans, a home care program, and they manage care for Medicare Advantage members across several U. S. states.
• 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.
• 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.
• 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!
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