Software Engineer - Engineering Productivity

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At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes to our patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions. We value diversity - in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds and swaths of life to help build the future of healthcare. Clover's engineering team is empathetic, caring, and supportive. We are looking for a Software Engineer, Engineering Productivity with expertise in backend infrastructure and systems engineering to join our globally distributed engineering team. You won't just write code to spec - you'll understand the business problem, engage with stakeholders, and shape the solution. In this role, you will act as a high-leverage technical bridge between Quality and Eng Core, building the automated safety nets and internal processes required to increase deployment velocity while driving code-related incidents to zero As a Developer Reliability Engineer, you will: 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. Success in this role looks like: You operate as a high-leverage Individual Contributor (IC) and reliability champion, effectively negotiating with engineering pods and leadership to roll out and adopt critical quality processes across the entire SDLC. You operate with a strong bias for action-designing automated systems that actively enforce our reliability thresholds and comfortably holding the line on quality standards when deployments are at risk. You have delivered impactful projects that advance our engineering roadmap, reducing toil or streamlining operations. You have built trusted partnerships across engineering teams and contribute to the success of their projects where needed. You proactively identify opportunities to improve how we build, deploy, and scale - bringing a thoughtful, systems-oriented lens to everything from infrastructure to process. You should get in touch if: You have 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. You have a 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. You have experience building and refactoring complex (often distributed) systems and possess experience with declarative infrastructure as code (IaC) deployment patterns. You have experience with public cloud platforms such as GCP and/or AWS. You have AI experience in terms of testing tools and architecture. You know how to build systems with AI agents as your partners, and you possess clear strategies for strictly verifying and validating AI-generated code and infrastructure outputs before they merge. You have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and are able to adapt quickly to new challenges and technologies. Benefits Overview : 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 contri

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