Engineering Manager

CertifyOS

6d

About The Position

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 Today, healthcare organizations rely on fragmented and outdated provider data.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. About the Role We are looking for an Engineering Manager / Senior Engineering Manager with a strong product engineering background and deep technical understanding to lead high-performing engineering teams. This role combines people leadership, product development, technical strategy, architecture, and execution. You should be able to engage with engineers at a technical level, partner closely with Product and Design, and make sound architectural decisions for complex, scalable systems. We are looking for an engineering leader who understands how AI is changing software development and can help teams adopt AI tooling, RAG, agentic workflows, and AI-native engineering practices.

Requirements

• 8+ years of software engineering experience, with significant technical leadership experience.
• 3+ years of engineering management or equivalent technical leadership experience.
• Strong experience building and operating customer-facing products.
• Strong product development background, from product discovery through launch and continuous improvement.
• Strong understanding of Java and Spring Boot.
• Strong understanding of microservices and distributed systems.
• Experience with Kafka and/or messaging systems.
• Strong knowledge of PostgreSQL and relational databases.
• Experience with NoSQL/document databases such as MongoDB, DynamoDB, or Firestore.
• Strong understanding of AWS or GCP.
• Working knowledge of React and modern frontend development.
• Experience with APIs, event-driven architecture, and asynchronous systems.
• Experience with Docker, Kubernetes, CI/CD, and cloud-native development.
• Strong understanding of observability, reliability, security, and production operations.
• Practical understanding of AI/LLMs, RAG, embeddings, vector search, and AI agents.
• Experience using or leading adoption of AI coding and engineering tools.
• Strong communication, stakeholder management, and decision-making skills.
• Ability to operate at both strategic and technical levels.

Responsibilities

• Lead engineering teams building scalable, reliable, customer-facing products.
• Drive adoption of AI-assisted software development and AI engineering tools across engineering teams.
• Own engineering delivery for customer-facing products from discovery through launch and operation.
• Strong understanding of modern full-stack, cloud-native, and distributed system architecture.
• Build, lead, and retain high-performing engineering teams.

Benefits

• 100% coverage of health, dental, and vision insurance premiums for employees.
• Unlimited PTO, with at least two weeks off each year to recharge (US-based team).
• Health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women (India-based employees).
• Pay transparency and foster an open culture where compensation conversations are encouraged and respected.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed