Atlas Labs

Software Engineer

Remote US
USD 115k - 150k
API Docker Kubernetes GCP Python
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Description

No Patient Left Behind

Atlas Health automates philanthropic aid to improve access, affordability, outcomes and health equity for vulnerable populations.  

Through intelligent matching and enrollment to 20,000 philanthropic aid programs, healthcare organizations can improve patient outcomes and reputation, increase cash and reduce staff administrative burden. 

At Atlas Health, we are dedicated to eliminating the unfortunate reality of patients not being able to afford to survive. We may not be providers, but we do save lives by providing patients with the ability to receive treatment, when they otherwise may have never started or stopped for fear of negative financial outcomes. We love that we are saving lives by improving access and affordability. We view every dollar we find for a patient as hope.   

Ultimately, we want to ensure no patient is left behind. 

Software Engineers on our data platform team develop applications and APIs that facilitate the flow of data throughout the Atlas infrastructure and support downstream business applications. These systems are responsible for handling sensitive patient data, and members of the team are technical champions of ensuring HIPAA standards for confidentiality and compliance. This role focuses on API development, data stores, and automation thereof in conjunction with data engineering initiatives and fits in a cross-functional team that manages ETLs and data distribution. Additionally, software engineers collaborate with security engineering and business implementation & operations teams as custodians of patient and company data.  

 

Responsibilities:  

  • Leverage cloud infrastructure to engineer scalable, reliable, and performant applications and APIs 
  • Collaborate with platform engineers on creating reliable and secure systems 
  • Develop readable, well-tested applications, APIs, and libraries 
  • Develop and maintain software for data systems and databases
  • Collaborate closely with team members and product stakeholders
  • Coordinate with product and implementation teams on client data processes and support
  • Contribute to automation and quality engineering initiatives
  • Implement application observability in the form of metrics, logging, and monitoring 
  • Provide mentorship and guidance to more junior members of the team 

Requirements: 

  • Professional experience with cloud-based systems 
  • Experience with service oriented architectures and developing APIs 
  • Demonstrated understanding of distributed task processing 
  • Ability to develop and test systems that manage data reliability, efficiency, and quality
  • Understanding of multiple software development paradigms
  • Comfort in working with containerization tools such as Docker, Kubernetes, or similar
  • Computer Science or related technical degree in a related field or equivalent technical experience 

Bonus points: 

  • Depth of knowledge in Google Cloud Platform 
  • Experience using Apache Airflow or similar orchestration systems 
  • Experience working in an ePHI environment 
  • Familiarity with service mesh patterns 

Preferred Qualifications: 

  • Fluency in Python 
  • Experience with IAC tools 

Salary Range: $115,000-$150,000 annually

Benefits:

We offer a comprehensive benefit plan for our U.S. based employees which includes:

  • Health, dental and vision insurance
  • 401K
  • Flexible time off 
  • Paid holidays

Why Join Our Team:

Because you’re motivated by a combination of success, working alongside incredible people, and have a passion for helping clients and patients. Atlas helps people access essential medical treatment, and avoid financial ruin from medical debt. You care about being a part of the journey and wish to play a key role in our organization’s success. 

Atlas values diversity of all kinds, and we’re committed to building a diverse and inclusive workplace where we learn from each other. We are an equal opportunity employer and welcome people of all different backgrounds, experiences, abilities, and perspectives.

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