Dev Ops Engineer

PLEASE NOTE BEFORE APPLYING:

CODOXO IS NOT ABLE TO OFFER SPONSORSHIP OR ACCOMMODATE ANY CANDIDATES THAT ARE CURRENTLY BEING SPONSORED NOW OR IN THE FUTURE

Of the $3.8T we spend on healthcare in the United States annually, about a third of it is estimated to be lost due to waste, fraud and abuse. Codoxo is the premier provider of artificial intelligence-driven solutions and services that help healthcare companies and agencies proactively detect and reduce risks from fraud, waste, and abuse and ensure payment integrity. Codoxo helps clients manage costs across network management, clinical care, provider coding and billing, payment integrity, and special investigation units. Our software-as-a service applications are built on our proven Forensic AI Engine, which uses patented AI-based technology to identify problems and suspicious behavior far faster and earlier than traditional techniques.

We are venture backed by some of the top investors in the country, with strong financials, and remain one of the fastest growing healthcare AI companies in the industry.

Position Summary:

We are rapidly growing and seeking exceptional talent to achieve our goal of ensuring that our scarce healthcare dollars go to real patient care. We are seeking a DevOps engineer to assist in maintaining and improving our existing CI/CD processes. We are constantly collaborating with our Data Science, Data Engineering, and Webapp teams to help them architect cloud solutions to their most pressing problems. They will learn under experienced DevOps Engineers as our team breaches into “Platform Engineering” practices to improve the quality of life for our company’s many developers.

Key Responsibilities:

50%: Implementing GitOps/DevOps Practices
- This will involve researching lots of AWS tools/technologies with considerations for security, networking, scalability, disaster recovery, costs, documentation, high-level diagrams of the architecture, and monitoring.
50%: Troubleshooting
- Troubleshooting developer deployment errors, cloud environment downtime, updating scaling/security configurations in collaboration with other DevOps/Platform Engineers and developers across other teams.

Qualifications:

Experience with Python & Linux Shell Scripting required
Working experience with Terraform and writing Infrastructure-as-Code (IaC) to create reproducible AWS applications for internal teams required
Working experience with building and shipping Docker containers into cloud environments for pipelines and microservices
Working experience with AWS Services: EC2, VPC, S3, IAM
Preferred experience with AWS Services: Aurora, Lambda, Step Functions, ECS, EMR
Preferred experience with Javascript for building web applications to advance our Platform Engineering goals to exposing self-service infra to internal teams

Other Requirements/Preferences:

Computer Science (CS) Degree or equivalent
Prior System Admin experience is a plus
Experience working in a regulated industry is a plus
Physical Requirements: Work is performed in an office environment (either in our office or work-from home) and requires the ability to work on a computer, operate standard office equipment, and work at a desk.

Accessibility Notice: If you need reasonable accommodation for any part of the employment process due to a physical or mental disability, please send and email to careers@codoxo.com with the subject "Accommodation". Reasonable accommodation requests will be considered on a case-by-case basis.

Benefits for You

Health, Dental, and Vision insurance with 100% employee premium coverage (Starts Day 1)

Unlimited PTO

Annual Professional Development stipend

Annual home office stipend

401K Match (after 90 days)

We are an Equal Opportunity Employer:

Codoxo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment.

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