Senior Software Engineer, Abridge
Scaling AI Systems
$210.8-248k
+ Equity
More information about location
3 days a week in office
Powering deeper understanding in healthcare through purpose-built AI
Job no longer available
Powering deeper understanding in healthcare through purpose-built AI
201-500 employees
Job no longer available
$210.8-248k
+ Equity
More information about location
3 days a week in office
201-500 employees
Company mission
To power a deeper understanding in healthcare.
Role
Who you are
- 8+ years of software engineering experience focused on distributed systems or tooling, with an interest in engineering enablement and software scaling
- At least 2 years experience as a back-end engineer focused on system performance and scalability
- Experience reducing latency in software by multiples through leveraging observability and profiling tools and deriving great pleasure from doing so
- Experience building on Kubernetes and scaling compute services on Kubernetes; experience with related cloud native technologies including ArgoCD, Argo Rollouts, Istio, etc
- Comfortable implementing and securing services in Google Cloud Platform with Infrastructure as Code, including GCP Projects, VPC Networks, Google Kubernetes Engine, and IAM Roles, Groups and policies. Candidates without GCP experience but who have experience with Kubernetes are encouraged to apply
- Experience building software with backend languages (e.g. Python, GoLang, Node, and Rust)
- Experience monitoring distributed systems with Prometheus, OpenTelemetry Collector, and Grafana (or something similar), including metrics collection, visualization, alerting, and using observability data to drive performance optimizations
- Passion for engineering enablement and solving software and distributed systems scaling challenges under pressure
What the job involves
- Abridge’s services and engineering team are in hyperscale mode
- We are looking for experienced SREs to join our team and help scale all of our infrastructure, developer experience, and site reliability in kind
- You’ll work on a centralized Platform team whose work spans platform building, adoption, and ongoing support of existing tooling and software
- You will partner with other teams and may embed with them for weeks or months
- 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
- 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
- Build out our observability platform as the systems continue to grow, enabling logs, metrics, and distributed tracing at scale, as well as building out dashboards with golden metrics and error budgets that allow us to keep a pulse on the system’s growth
- Partner with teams to leverage observability tooling and observability driven development to identify bottlenecks in performance and availability and fix them
- 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
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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