Staff IT Engineer

About Abridge

Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.

Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.

We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in 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-scale enterprise automation.

Cloud & Platform Expertise: Deep hands-on experience automating complex operations and governance across GCP, AWS, and/or Azure. You will bring an ability to build and modularize infrastructure provisioning using Infrastructure as Code (i.e. Terraform).

Programming Proficiency: Highly proficient in at least one modern programming language; strong preference for Python.

Systems Integration: Proven experience with REST/GraphQL APIs and querying and managing relational databases (SQL strongly preferred).

Automation Platforms: Extensive experience designing and managing centralized automation platforms (e.g., n8n, SOAR, Ansible, Workato, or custom frameworks).

Compliance Context: Experience operating in regulated industries (healthcare, finance, or similar) with exposure to SOC 2, HIPAA, or equivalent compliance frameworks.

Communication: Able to communicate effectively across a wide range of audiences — from engineers to GTM stakeholders, from individual contributors to executives.

Bonus Points

Experience with agentic AI or ML models applied to IT automation (proactive issue detection, intelligent routing, NLP).