DevOps Engineer

Who We Are

Machinify is a leading healthcare intelligence company with expertise across the payment continuum delivering unmatched value transparency and efficiency to health plan clients across the country. Deployed by over 60 health plans including many of the top 20 and representing more than 160 million lives Machinify brings together a fully configurable and content-rich AI-powered platform along with best-in-class expertise. Were constantly reimagining whats possible in our industry creating disruptively simple powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

Location:This role is fully remote

About the Opportunity

Machinify is seeking aDevOps Engineerto create maintain and automate AI/ML cloud technologies with a focus on the continued migration from VMs into Kubernetes for all applicable technology solutions supporting the Machinify Cloud and to do so with an eye to the best future implementation while solving the problems of today. We do everything at big data scale high uptime and with an eye to incredible customer experience.

Machinifys healthcare customers are at the center of everything we do so we employ innovative thinkers to solve issues our customers dont even have yet and do so with operational excellence.

Those innovative thinkers our people are the core of what makes Machinify differentiated in Healthcare. Everyone has a voice. Our teams are diverse and thrive on trust. We are humans who understand our customer and work collaboratively to deliver value and make a difference.

TheDevOps Engineer will provide technical leadershipin significant technical automation programming system administration operational and software configuration management through partnering with DevOps and Engineering as a whole.
This vital team member will have responsibility for design engineering development and integration within production and pre-production environments and will also be responsible for the programs configuration management including the planning design engineering implementation and execution of successful build and deployment of code updates to each upstream environment along with planning and implementing the configuration management of all underlying technologies.

What youll do:

• Facilitate the movement of VM technologies into Kubernetes through migration or replacement.
• Automate everything. Nothing should require manual intervention. We routinely redeploy from the ground up to ensure automation is up to date
• Architect solutions to achieve a high level of performance reliability scalability and security
• Create maintain and troubleshoot distributed compute AI/ML technologies running in the Cloud
• Collaborate with a great team and learn from each other
• Change the way healthcare companies manage their business
• Be challenged when faced with solving complex problems
• Bring a passion for improving the lives of others by making their jobs easier and more productive
• Be responsible and accountable for everything you build and support
• Communicate effectively with other engineers in the same team with other teams and with various other stakeholders such as product managers
• Operate in an Agile development environment

• Experience in the migration of VM Technologies into a Kubernetes Environment
• 5 years of production support preferably in a Cloud Environment (AWS Azure or GCP)
• Degree in Computer Science or equivalent work experience
• Extremely logical with the ability to solve problems in creative and efficient ways
• Knowledge / Experience in the following areas
  • Containerization with Kubernetes
  • Scripting (python shell etc)
  • Crossplane / Terraform (Infrastructure as code)
  • Linux (CentOS/RHEL)
  • Spark / Machine Learning running in the Cloud
  • Frameworks for distributed machine-learning / AI such as Azure OpenAI AWS Bedrock or things like Tensorflow and MxNet.
  • Good understanding of Operations security practices
  • Working in / creating compliant environments such as Hi-Trust / SOC2 etc
  • Continuous Integration/Continuous Deployment frameworks.
  • Citus (Distributed Postgres a plus)
• You are scrappy fast adaptable and ambitious
• Critical thinking and problem solving skills

Pay range: $150000 - $180000 USD

This is an exempt position.For Salary positions only:The salary range is for Base Salary. Compensation will be determined based on several factors including but not limited to skill set years of experience and the employees geographic location.


Whats in it for you

• PTO Paid Holidays and Volunteer Days
• Eligibility for health vision and dental coverage 401(k) plan participation with company match and flexible spending accounts
• Tuition Reimbursement
• Eligibility for company-paid benefits including life insurance short-term disability and parental leave.
• Remote and hybrid work options
  

What values well share with you

• Ask why
• Think big
• Be humble
• Optimize for customer impact
• Deliver results

At Machinify were reimagining a simpler way forward. This begins with our employees. We are innovators who value integrity teamwork accuracy and flexibility. We do the right thing and we listen to the needs of our clients and their members. As tenured experts with unmatched experience we champion diverse perspectives that help us to better understand and serve our clients.

Our values come to life through our culture. We embrace flexible working arrangements that allow our employees to bring innovation to life in the way that best suits their productivity. We work cross-functionally abandoning silos to bring innovative and accurate solutions to market. We invest in each other through ongoing education and team celebrations and we give back to our communities through dedicating days for volunteering. Together Machinify is making healthcare work better for everyone and were passionate about a future with better outcomes for all.

We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender gender identity or expression or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable accordance with applicable state laws we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process please contact our People Operations team at. See our Candidate Privacy Notice at: