Sr. Software Engineer, DevOps at AKASA

South San Francisco, California, United States

AKASA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, AIIndustries

Requirements

  • Experience with observability tools for metrics, logs, and traces (e.g., Grafana, Prometheus/Mimir, OpenSearch, Sentry, or similar)
  • Proficiency with Infrastructure as Code, specifically Terraform
  • Proficiency with Kubernetes
  • Experience with GitHub CI/CD
  • Ability to attend in-office co-working days every Wednesday in South San Francisco (strong Bay Area presence expected)

Responsibilities

  • Build, manage, and optimize infrastructure using Terraform, GitHub CI/CD, and Kubernetes
  • Create visualizations and alerts for monitoring and observability using tools like Grafana, Prometheus/Mimir, OpenSearch, and Sentry
  • Identify manual or error-prone processes and replace them with automated, repeatable systems to improve reliability
  • Diagnose and resolve production issues across application and infrastructure layers
  • Capture knowledge in runbooks, setup guides, and architecture diagrams to support operational maturity
  • Partner with engineers across teams to drive adoption of DevOps and infrastructure best practices
  • Help scale infrastructure and monitoring systems to meet growing demands
  • Participate in an on-call rotation and support incident response processes as needed

Skills

Kubernetes
Terraform
GitHub
CI/CD
Infrastructure as Code
Automation
DevOps
SaaS

AKASA

Automates revenue cycle management processes

About AKASA

AKASA offers technology solutions that enhance efficiency and revenue outcomes for healthcare organizations by using a mix of computer vision-based Robotic Process Automation (RPA), machine learning, and human-in-the-loop automation. Their services streamline complex Revenue Cycle Management (RCM) workflows, allowing healthcare staff to focus on more meaningful tasks. Unlike competitors, AKASA specifically targets operational inefficiencies in revenue cycle departments, helping clients like Methodist Health System achieve significant gross yield increases. The company's goal is to empower healthcare organizations to improve their operational efficiency and patient experience.

San Francisco, CaliforniaHeadquarters
2018Year Founded
$199.4MTotal Funding
SERIES_CCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees

Benefits

Flexible vacation policy.
Generous coverage for health, dental, and vision insurance.
Free membership to One Medical for you and your family.
Health FSA account.
Full employee coverage for life insurance.
401K plan.

Risks

Generative AI adoption may increase competition, eroding AKASA's market share.
Healthcare's cautious approach may slow adoption of AKASA's new technologies.
Integration with existing EHR systems may pose implementation challenges for AKASA.

Differentiation

AKASA uses AI to automate complex revenue cycle tasks in healthcare.
Their solutions decrease A/R days by 13% and increase efficiency by 86%.
AKASA's tailored AI models outperform generic models like GPT-4 by up to 40%.

Upsides

AKASA's GenAI solutions reduce prior authorization time by up to 50%.
Over 70% of healthcare organizations are exploring generative AI for revenue cycle management.
AKASA's Medical Coding enhances efficiency and accuracy in the $23B medical coding field.

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