Software Engineer II
Bengaluru · Mid Level
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Job description
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Today, healthcare organizations rely on fragmented and outdated provider data.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.
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