Clover Health - Software Developer - Engineering Productivity

• 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 made engineering health measurable. Delivery efficiency and software quality are no longer subjective conversations — they are numbers on a dashboard that leadership and pod leads both trust and act on. • 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 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, not just consumed someone else's dashboard. • You have 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 — rather than just referenced them. • 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 — or are keen to build — hands-on experience with load and performance testing (k6, Locust, Gatling, JMeter all welcome), including handling synthetic data safely so test traffic never contaminates real user telemetry. • 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.