We believe every dollar spent on healthcare matters. That’s why we started AKASA: to leverage cutting-edge technology against the challenges of revenue cycle management.
We believe every dollar spent on healthcare matters. That’s why we started AKASA: to leverage cutting-edge technology against the challenges of revenue cycle management.
Stage: Late-stage venture-backed (Series C reported)
Focus: Generative AI & ML automation for healthcare revenue cycle (prior authorization, claims, patient access)
Headquarters: San Francisco, California
Founders: Malinka Walaliyadde; Ben (Benjamin) Beadle-Ryby; Andy Atwal; Varun Ganapathi, Ph.D.
Employees: Approximately 350
Company Overview
Problem Domain
Healthcare revenue cycle management and administrative automation
Industry
Healthcare technology / Health IT
Tech Stack
Generative AI
Machine learning
Large language models
Funding Track Record
Series B- 2021-03-23
$60M
Series B included participation from Andreessen Horowitz and Costanoa Ventures
Investor Signal
“Backed by prominent venture investors including Andreessen Horowitz, Bond, and Costanoa Ventures”
Founders
What we do
Join the Team
Senior Software Engineer
RemoteRemote (US), US
Remote • Remote (US), US
Who you are
Observability: Experience with metrics, logs, and traces using tools such as Grafana, Prometheus/Mimir, OpenSearch, Sentry, or similar
Infrastructure as Code: Proficient with Terraform, Kubernetes, and containerization tools
Programming Skills: 5+ years of experience with Python, Go, Java, or a comparable language
Linux Systems: Comfortable working with Linux-based environments and writing shell scripts
Communication: Strong collaboration skills with a focus on asynchronous, written communication
Documentation: Commitment to clear, comprehensive documentation and process standardization
Initiative: Self-starter mindset with a proactive approach to solving operational challenges
Version Control: Skilled in Git/GitHub-based workflows
Cloud Experience: AWS (preferred), GCP, or Azure cloud infrastructure management
Networking Fundamentals: Familiarity with TCP/IP, DNS, routing, and load balancing concepts
Security: Understanding of cloud and infrastructure security best practices
Performance Tuning: Experience tuning application or infrastructure performance in production environments
What the job involves
Benefits
Unlimited paid time off (PTO)
Expansive coverage for health, dental, and vision
Employer contribution to Health Savings Accounts (HSA)
Generous parent leave policy
Full employee coverage for life insurance
Company-paid holidays
401(K) plan
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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 GitHub-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
Infrastructure Management: Build, manage, and optimize infrastructure using Terraform, GitHub CI/CD, and Kubernetes
Monitoring & Observability: Create visualizations and alerts that provide actionable insights using tools like Grafana, Prometheus/Mimir, OpenSearch, 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 DevOps and infrastructure best practices
Scalability Planning: Help scale infrastructure and monitoring systems to meet growing demands
Incident Participation: Participate in an on-call rotation and support incident response processes as needed
