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HiLabs Inc. is on a mission to eliminate the $3.1 trillion cost of bad data in the US healthcare system. We combine explainable AI, healthcare-specific business ontologies, and big data to dramatically improve data quality for our customers.
Our core platform, MCheck™, has analyzed 15+ billion healthcare records, covering over one-third of the US insured population.
Headquartered in the Washington DC area, HiLabs has a rapidly growing R&D center in India and a team of world-class technologists, data scientists, and healthcare experts from institutions like Harvard, Yale, Duke, Georgia Tech, and IITs.
Role Summary
We are looking for an experienced Engineering Manager / Engineering Lead with a proven growth journey from developer to leader in fast-paced product or SaaS companies.
This role requires a strong balance of technical depth, people leadership, and execution ownership, working closely with business and product teams to deliver scalable, high-quality solutions.
Key Responsibilities
Desired Profile
Why Join HiLabs
Equal Opportunity Employer
HiLabs is an equal opportunity employer and is committed to building a diverse and inclusive workplace. If this role aligns with your experience and career goals, we encourage you to apply.
Job ID: 147487533
Skills:
Java, Solid Principles, Soa, Cloud Technologies, Microservices, Oop, Git, Design Patterns, Gitlab, Azure, Kubernetes, AWS, DevOps practices, multi-cloud environments, event-driven architectures, full-stack applications, big data processing
Skills:
Cloud Services, C, Sqlite, Web Technologies, SQL Server, Oracle, test-driven development, behavior-driven development, AI technologies
Skills:
Ml, Spring Boot, Automated Testing, Java, Microservices, Spring, Pci Dss, Aml, React, Kyc, Payments Ecosystem Compliance, Ai
Skills:
Distributed Systems, Software Engineering, data pipelines, data platforms, large-scale data processing, AI ML systems, high-throughput APIs, analytics platforms, microservices architecture, API platforms, event-driven systems
Skills:
Platform engineering / DevOps / SRE Integration (API, microservices) Cloud (AWS, GCP) CI/CD pipelines Containers (Docker, Kubernetes), Cicd, middleware, Esb, Azure, Ai, claude, co-pilot
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