Software Engineer - Engineering Productivity

Clover Health is transforming healthcare with its innovative primary care tool, Counterpart Assistant. They are seeking a Software Engineer specializing in Engineering Productivity to enhance backend infrastructure and systems engineering, focusing on improving deployment velocity and ensuring high-quality standards.

Responsibilities:

• Design and champion internal Quality Programmes: Drive engineering-wide process changes and ensure pods adopt new reliability standards without friction. You will operate with a product-owner mindset to define and evangelize the internal reliability roadmap
• Define and enforce hard metrics: Measure and establish hard quality telemetry (e.g., DORA metrics, bug-to-deploy ratios, SLIs/SLOs) to create a quantifiable baseline for platform reliability
• Architect Shift-Left Pipeline Gates: Weave automated Performance, Security, and Accessibility checks directly into the CI/CD pipeline at the PR level in tight partnership with Eng Core
• Build Real-World Load Testing: Shift load and performance testing left for every customer onboarding, validating real-world assumptions
• Engineer Synthetic Data & Production Canaries: Build the architecture for safe synthetic data injection to unblock heavy load-testing and live-production canaries, strictly isolating test data from authentic user telemetry
• Leverage Generative AI Tooling: Actively utilize AI assistants (e.g., Gemini, Claude, Cursor, Codex) to accelerate the development of testing frameworks, automate infrastructure code, and design advanced testing architectures
• Drive Tooling Consolidation: Lead the technical migration away from expensive, legacy testing infrastructure to a unified, AI-supported automation stack
• Help define and maintain development practices: Enable fast iteration while ensuring quality, including writing tests and documenting key implementations

Requirements:

• 5+ years of experience in software with proficiency in one or more common languages (e.g., Python, Go)
• Strong product-oriented mindset, care about outcomes over output, and want to understand the 'why' behind what you build to connect your work to 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
• AI experience in terms of testing tools and architecture
• Ability to build systems with AI agents as partners and possess clear strategies for strictly verifying and validating AI-generated code and infrastructure outputs before they merge
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Ability to adapt quickly to new challenges and technologies