Staff Platform Engineer, Abridge
$228-290k
Offers Equity
Powering deeper understanding in healthcare through purpose-built AI
Open for applications
Powering deeper understanding in healthcare through purpose-built AI
201-500 employees
Open for applications
$228-290k
Offers Equity
201-500 employees
Company mission
To power a deeper understanding in healthcare.
Role
Who you are
- 10+ years of software and infrastructure engineering experience, including significant experience operating infrastructure-as-code platforms in cloud-first organizations
- Experience designing and operating large-scale Kubernetes platforms and scaling compute services on Kubernetes; experience with related cloud-native technologies including ArgoCD, Argo Rollouts, Istio, etc
- Deep understanding of Kubernetes platform architecture and operations, including workload isolation, autoscaling, networking, service mesh management, ingress patterns, observability, upgrades, and multi-tenant cluster design
- Experience designing and maintaining CI/CD systems for both infrastructure-as-code deployments and application delivery workflows. (Terragrunt, Atlas, ArgoCD, Octopus Deploy, Travis CI, etc.)
- Experience building scalable infrastructure-as-code platforms using Terraform and related tooling, including modular architectures, remote state management, policy enforcement, deployment orchestration, and reusable infrastructure patterns
- Experience with monitoring and observability tooling and practices (metrics, logs, traces) and their management at scale. Experience with major observability platforms such as Grafana, Datadog, Honeycomb, etc
- Comfortable implementing and securing services in Google Cloud Platform as infrastructure-as-code, including GCP Projects, VPC Networks, Google Kubernetes Engine, IAM Roles, Groups, policies, and secure networking patterns
- Experience designing secure-by-default infrastructure including least-privilege access controls, workload identity, network segmentation, secret management, auditability, and compliance-oriented platform controls
- Strong operational instincts and experience debugging complex distributed systems, leading incident response efforts, and improving reliability through automation and observability
- Experience balancing developer experience, platform governance, operational reliability, and organizational scalability in fast-growing engineering environments
- Experience with backend languages (e.g. Python, GoLang, Node, Rust)
- Up-to-date on industry best practices and tools, and enjoy learning new things
- Excited about being hands-on while also driving platform direction, architecture decisions, and operational maturity in a fast-moving and supportive environment
- Willing to pitch in wherever needed — as a fast-moving startup we need to do good work, quickly
- Demonstrates strong curiosity and a proactive interest in AI, actively exploring and applying emerging technologies
- We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you
What the job involves
- Abridge’s services and engineering teams are in hyperscale mode. We are looking for experienced Staff Platform Engineers to join our team and help scale our cloud infrastructure, developer platform, and operational maturity in kind
- You’ll work on a centralized Platform team whose work spans platform architecture, developer enablement, infrastructure reliability, 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 evolve our infrastructure stack into a scalable multi-tenant and multi-cloud platform, drive secure-by-default cloud infrastructure practices, build and manage modular Terraform platforms, and help define the long-term architecture and operational standards for infrastructure running in production at scale
- You’ll also help shape and integrate developer platform capabilities including service templates, canary releases, feature flagging, load testing, CI/CD pipelines, observability tooling, and self-service infrastructure workflows
- The platform we are building needs to maximize engineering velocity, reliability, scalability, and security while operating under tremendous growth and regulatory requirements. This role presents opportunities to leverage deep technical expertise, systems thinking, autonomy, and organizational leadership to take platform capabilities from 0 to 1 and scale them across the company
- This is a unique opportunity to help shape the future of AI-first, cloud-native, security-first infrastructure at scale
- Design, build, and evolve cloud infrastructure platforms including networking, IAM, Kubernetes, databases, streaming and pubsub platforms, storage, distribution, observability, and more
- Lead the architecture and operational evolution of multi-tenant, multi-region, and multi-cloud infrastructure with strong reliability, scalability, and security boundaries
- Design and implement build pipelines, branching strategies, release management tooling, and self-service platform workflows that will serve an engineering organization that is rapidly growing in both size and operational complexity
- Design, implement, and scale secure-by-default cloud infrastructure practices including CI and deployment scans, least privileged access controls, auditing, policy enforcement, and maintaining SoC2 and HIPAA compliance
- Build reusable infrastructure abstractions, Terraform modules, golden paths, and developer platform capabilities that allow engineering teams to move quickly while maintaining operational consistency and governance
- Help advocate for, design, implement, and adopt fast and scalable application testing pipelines including end-to-end UI tests, hyperscale load tests, resiliency testing, and progressive delivery patterns
- Drive improvements in observability, operational readiness, incident response, SLO-driven reliability practices, and platform debuggability across the organization
- Bridge the gap between local development and production environments in a way that is seamless for engineers and maximizes engineering velocity, reliability, and security while minimizing quality issues arising from environment drift and configuration tangles
- Partner closely with engineering, security, and compliance teams to balance platform standardization with developer flexibility and evolving business requirements
- Influence infrastructure cost and capacity strategy by balancing reliability, scalability, performance, and operational efficiency across cloud environments
- Evangelize, document, mentor, and train the engineering team on the solutions being built and help uplevel the organization on cloud-native platform engineering strategies and operational excellence
- 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
- This role has a rotational on-call schedule. You will have the opportunity to shape incident response practices, operational standards, and platform reliability strategy for the team and throughout the organization
Our take
Summarising key elements of healthcare conversations is crucial for both physicians and patients. Medical scribes, though effective, are costly, and the healthcare system faces funding and staffing crises. This has created a demand for more efficient notetaking solutions.
This is where Abridge comes in; it has developed a HIPAA-compliant AI platform that transcribes, structures, summarises, and provides insights from audio or transcripts of medical conversations. It claims to work across all specialities and offers patient-friendly summaries in easy-to-understand language.
Abridge aims to alleviate pressure on the healthcare system from the patient's perspective, a unique approach among healthtech startups. While companies like Inovia, DOUB, and DeepScribe focus on assisting physicians with medical transcription AI, they lack Abridge's patient-centric features, which are valuable in enhancing the patient experience. Its unique focus, then, is part of the reason why it enjoyed two impressive rounds of funding in 2025 alone.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Jun 2025
$300m
SERIES E
Feb 2025
$250m
SERIES D
Total funding: $757.5m
Company benefits
- Unlimited PTO, plus 12 national holidays
- 16 weeks paid parental leave, for all employees
- Flexible working hours — we care more about what you accomplish than what specific hours you’re working
- Remote work environment
- Equity for all new employees
- Generous equipment budget for your home office setup ($1600)
- Opportunity to work and grow with talented individuals, and have ownership and impact at a high growth startup
Company HQ
SoMa, San Francisco, CA
Leadership
Shivdev Rao
(Co-Founder & CEO)Alongside their work as a practising Cardiologist at the University of Pittsburgh Medical Center, they also served as Physician Advisor in Residence and ultimately EVP at UPMC Enterprises; co-founded DocDok; and worked as a co-architect on a healthcare project at the Kauffman Foundation.
Sandeep Konam
(Co-Founder & CTO)Completed an MS in Robotics at Carnegie Mellon, then served as Senior Product Manager at UPMC Enterprises. Has delivered guest lectures at Carnegie Mellon, Stanford, and the University of Pittsburgh.
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