Senior Software Engineer, AKASA
DevOps
$180-220k
+ Equity
More information about location
1+ day a week in office (South San Francisco)
AI-powered automation for the healthcare revenue cycle
Open for applications
AI-powered automation for the healthcare revenue cycle
201-500 employees
Open for applications
$180-220k
+ Equity
More information about location
1+ day a week in office (South San Francisco)
201-500 employees
Company mission
To enable human health by building the future of healthcare with AI.
Role
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
Desirable
- 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
- 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
Our take
The US healthcare system is both financially and operationally complex. It is estimated to cost patients and providers $500 billion annually in medical billing and insurance administrative expenses. AKASA, formerly Alpha Health, addresses this issue with its Unified Automation technology
The technology is designed to streamline revenue cycle operations by combining human expertise with AI-driven automation. It deploys machine-learning tools supported by revenue cycle specialists who can handle more complex cases and refine the algorithms.
This blend of human and machine intelligence is a stand-out approach, which could well serve as a blueprint for other sectors. Meanwhile, AKASA will continue to help reshape the healthcare industry by solving its complex operational challenges.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-17% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2024
$120m
SERIES C
Mar 2021
$60m
SERIES B
Total funding: $205m
Company 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
Company HQ
The East Side, South San Francisco, CA
Leadership
Malinka Walaliyadde
(Co-Founder & CEO)Previously worked at Andreessen Horowitz (a16z), Counsyl and Corning Life Sciences. They have an Engineering degree from Cornell University.
Varun Ganapathi
(Co-Founder & CTO)They have successfully started two AI companies prior to AKASA. One was acquired by Google and the other by Udacity.
Andy Atwal
(Co-Founder & VP of Engineering)Prior to AKASA, they were the founding Software Engineer at Counsyl, a health technology company offering DNA screenings for various diseases.
Ben Beadle-Ryby
(Co-Founder)Previously, they were a Partner at the Advisory Board Company, where they oversaw revenue cycle consulting and technology.
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