Senior Platform 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

Abridge's services and engineering teams are in hyperscale mode. We are looking for experienced Platform Engineers to join our team and help scale all of our cloud infrastructure and developer experience in kind. You'll work on a centralized Platform team whose work spans platform building, adoption, and ongoing support of existing tooling and software. This role is approximately 80% infrastructure focused and 20% application software focused.

You will help us take our infrastructure stack multi-tenant and multi-cloud, drive implementation and adoption of cloud security practices, build and manage modular Terraform, and help build and integrate new cloud infrastructure into our stack in production to scale. You'll also be implementing things like service templates and other developer tools including canary releases and feature flagging, load testing, CI and CD pipelines, and more.

The platform we are building needs to maximize both engineering velocity and security, will be under tremendous scale, and presents many opportunities to leverage creativity, autonomy, and leadership to take things 0 to

1. This is a unique opportunity in the industry to rapidly grow your career in a rapidly growing company leveraging the best of emerging technologies.

What You'll Do

• Design, build, and scale cloud infrastructure including networking, IAM, Kubernetes, databases, streaming and pubsub platforms, storage, distribution, and more.
• Design and implement build pipelines, branching strategies, and release management tooling that will serve an engineering team that is doubling in size and massively growing the volume of code that is being shipped and that must be tested.
• Design, implement, and scale cloud security practices including CI and deployment scans, least privileged access controls, auditing, and maintaining SoC2 and HIPAA compliance.
• Help advocate for, design, implement, and adopt fast and scalable application testing pipelines including end to end UI tests as well as hyperscale load tests.
• Uplevel our ability to respond to incidents by improving observability, runbooks, and incident response muscle across the organization.
• Bridge the gap between local development and production environments in a way that is seamless for engineers and maximizes engineering velocity and security while minimizing quality issues arising from environment drift and configuration tangles.
• Evangelize, document, and train the engineering team on the solutions being built and uplevel them on cloud native design strategies and tools.
• Be a public evangelist for Abridge in the global platform engineering community, including conferences, open source, and research as we pioneer new AI-first cloud-native-first security-first implementations at scale.

Requirements

• Possess a minimum of 8 years of professional software engineering experience with a strong focus on infrastructure responsibilities.
• Hold direct experience with infrastructure-as-code practices and tools within cloud-first production environments for a minimum of 3 years.
• Demonstrate advanced proficiency in building, operating, and troubleshooting Kubernetes clusters in production scenarios.
• Show mastery of cloud native technologies including service meshes, ingress controllers, and GitOps toolchains like ArgoCD.
• Have hands-on experience creating and maintaining complex CI/CD pipelines for both infrastructure and application code.
• Exhibit deep familiarity with monitoring, observability platforms, and the implementation of metrics, logs, and tracing at scale.
• Demonstrate extensive experience with Google Cloud Platform services including VPC, GKE, and IAM policy management.
• Proven ability to work autonomously with strong ownership for reliability, security, and cost management in production systems.

Nice to Have

None specified.

Practical Notes

The role is based in our San Francisco office. This is a full-time position. No specific visa sponsorship details or hiring deadlines are published in the available source material.