Software Engineer II

**About CertifyOS** CertifyOS is building the data infrastructure that powers modern healthcare. Today, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem. Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale. Our vision is simple: **One API. One provider ID. Frictionless provider data.** We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients. ## AI-First Engineering We build software using an AI-first engineering workflow. Engineers are expected to use modern coding agents to accelerate development while maintaining high standards of software design, testing, security, and operational excellence. Success in this role requires strong engineering judgment alongside effective use of AI. ## What You'll Do - Build and maintain production-quality software - Deliver features from design through deployment - Write clean, maintainable, and well-tested code - Participate in design discussions and code reviews - Debug production issues and improve system reliability - Collaborate closely with product, design, and engineering teams ## What We're Looking For - 2–5 years of software engineering experience - Strong programming skills in Java or similar object-oriented languages - Understanding of REST APIs and distributed systems fundamentals - Experience building production applications - Strong debugging and testing fundamentals, including debugging code you didn't write yourself - Comfortable using Cursor, Claude Code, Codex, or similar AI coding agents - Able to validate AI-generated code and produce production-ready solutions - Familiarity with databases and data modeling - Good communication and collaboration skills - Growth mindset and willingness to learn ## AI-First Engineering Expectations - Use AI coding agents as part of the daily development workflow - Break complex problems into effective prompts and iterative tasks - Validate, test, and improve AI-generated code before production use - Own software quality, security, maintainability, and operational excellence - Combine engineering judgment with AI to deliver high-quality software faster ## Nice to Have - Experience with microservices - Exposure to cloud platforms (preferably GCP) - Docker or Kubernetes experience - Experience with CI/CD pipelines - Kafka or event-driven systems - Healthcare or regulated industry experience ## Technologies & Tools - Google Cloud Platform (GCP) - Java (Java 21 preferred) with Quarkus - React / TypeScript - REST APIs and distributed systems - Docker and Kubernetes - CI/CD (GitHub Actions) - Monitoring and alerting tools (e.g., Sentry) - Data platforms (Spanner, BigQuery) - Kafka - AI Tools (Cursor, Claude Code, Codex) **Benefits of Working at Certify** - At Certify, we’re building with intention and taking care of the people doing the work. - Your well-being matters to us. We provide 100% coverage of health, dental, and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO, with at least two weeks off each year to recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women. We are an equal opportunity employer committed to building an inclusive environment where everyone feels valued and empowered to do their best work, and we welcome applicants from all backgrounds and experiences. If you require reasonable accommodations during the application process, please contact . We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.