Sr. Software Engineer, DevOps

About AKASA

At AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we help health systems comprehensively capture and communicate the full patient clinical journey. By empowering health systems to streamline their operations, they can focus on what matters most - delivering quality patient care. We have raised over $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.

This is the most exciting time to join AKASA. Revenue bookings for our new AI-native product suite have grown over 20x since launching in 2024. In this time, we have broken our record for the largest deal in company history three times consecutively. This growth is driven by the massive improvement we are generating for our customers across clinical quality and documentation accuracy, both top priority areas for health system leaders.

Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date". Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Cleveland Clinic, Duke, Stanford, and Johns Hopkins.

Some of our most recent recognitions include being named the #1 most promising healthcare RCM startup of 2025 by Black Book Market Research and one of the fastest-growing GenAI startups to watch by AIM Research. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report, and we have been certified as a “Great Place to Work” for the past five years in a row, just to name a few.

We’re building on this momentum to redefine what’s possible in healthcare. We’re looking for exceptional people to help us accelerate that reality.

As a Sr. Infrastructure Engineer at AKASA, you’ll work closely with our Infrastructure and Platform teams to manage, improve, and scale the systems that power our products. Your focus will be on ensuring our infrastructure is reliable, observable, and easy to operate — with an emphasis on automation, operational excellence, and cross‑functional collaboration.

You’ll help build and maintain the foundational infrastructure that supports our SaaS applications, including Kubernetes, Terraform‑managed cloud resources, and Git Hub‑based CI/CD pipelines. While incident response is part of the role, the primary focus is on proactive improvements: reducing operational toil, improving visibility into system behavior, and enabling product teams to move fast with confidence.

You’ll also contribute to monitoring and observability efforts, ensuring our systems are well‑instrumented and that we can detect issues before they impact customers. You'll collaborate with software engineers to embed reliability best practices across the development lifecycle.

This role is ideal for someone who enjoys a balance of hands‑on engineering, systems design, automation, and technical mentorship.

The AKASA office is located in South San Francisco. While we support remote work on a variety of teams, we have a strong Bay Area presence across the company. The local R&D teams come into the office every Wednesday for co‑working days, which this role will be expected to attend.

• Infrastructure Management: Build, manage, and optimize infrastructure using Terraform, Git Hub CI/CD, and Kubernetes.
• Monitoring & Observability: Create visualizations and alerts that provide actionable insights using tools like Grafana, Prometheus/Mimir, Open Search, and Sentry.
• Automation & Reliability: Identify manual or error‑prone processes and replace them with automated, repeatable systems.
• Production Troubleshooting: Diagnose and resolve production issues across application and infrastructure layers.
• Documentation: Capture knowledge in runbooks, setup guides, and architecture diagrams to support operational maturity.
• Collaboration: Partner with engineers across teams to drive adoption of Dev Ops and infrastructure best practices.
• Scalability Planning: Help scale infrastructure and monitoring systems to meet growing demands.
• In…