Staff IT Engineer at Abridge in SF Office
- Company: Abridge
- Location: SF Office
- Job type: full time
- Workplace: remote
- Posted: 2026-09-05
Job description
About Abridge Founded in 2018, Abridge is the first AI-native clinician intelligence platform organized around the patient, built for clinicians, and designed to help health systems coordinate the clinical, financial, and evidence-based decisions for every moment of care. Powered by purpose-built AI for healthcare, Abridge connects patients, providers, payers, and life sciences companies. This year, the platform will support more than 100 million patient-clinician conversations across more than 300 of the largest and most complex health systems in the U.S. With deep workflow integration, the Abridge clinician intelligence platform has been validated to support encounters in 28+ languages across specialties and care settings. Abridge is setting the industry standard for the responsible deployment of Al across health systems with continual and transparent Al evaluation. Clinical decision support references and cites gold-standard sources of evidence, and features like Linked Evidence map AI-generated documentation to source data, helping clinicians quickly trust and verify the output. Abridge was awarded Best in KLAS for Ambient AI in 2025 and 2026, in addition to other accolades, including TIME Best Inventions of 2024 and 2025, CNBC Disruptor 2025, and Fast Company’s Most Innovative Companies 2025. We are a growing team of practicing clinicians, AI scientists, PhDs, creatives, technologists, and engineers working together to transform healthcare. We have offices located in San Francisco, New York, and Pittsburgh. The Role As a Staff IT Engineer, you will be a technical leader responsible for driving efficiency and scale across the entire corporate IT infrastructure and enterprise ecosystem. You will design, build, and maintain mission-critical automation solutions that eliminate manual processes, enhance security posture, and improve the employee experience globally. This role requires deep engineering expertise, an IT product mindset for automation, and the ability to mentor junior team members while tackling the organization's most complex integration and scaling challenges. You will work directly with IT leadership, Security leadership, and department heads across the company. Operating at the intersection of healthcare AI and enterprise IT, you will be expected to architect and enforce automation standards that meet the rigorous demands of a HIPAA-compliant, SOC 2-audited environment. What You'll Do Workflow Automation: Develop scalable, resilient workflow automation solutions to streamline critical business processes, including onboarding/offboarding, access requests, compliance enforcement, and self-service IT support. API and Integration Development: Serve as the subject matter expert for integrating disparate systems by building robust, fault-tolerant connections using APIs and event-driven architectures. Identity and Access Management (IAM): Drive automation within the IAM infrastructure, focusing on automated role assignment, least-privilege policy enforcement, and audit-friendly logging of authentication and authorization events. Enterprise Data Engineering: Architect and engineer robust data platforms for IT, ensuring efficient collection, normalization, and secure storage of high-volume enterprise data for reporting, audit, and advanced analytics. Technical Leadership: Act as a force multiplier for the team — establishing engineering best practices, leading code reviews, documenting architectures, and mentoring engineers in automation principles. Business Systems & Custom Application Deployment: Own the end-to-end deployment and lifecycle management of business-critical systems and custom-built applications, from architecture and vendor evaluation through implementation, integration, and ongoing support — ensuring solutions are secure, scalable, and aligned with enterprise IT standards. What You'll Need Experience: 10+ years in IT Engineering, IT Apps Development, or DevOps, with at least 5 years dedicated to large
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