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Today, healthcare organizations rely on fragmented and outdated provider data.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 [email protected].

We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.