Description

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. We’re constantly reimagining what’s 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 a DevOps Engineer to 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.

Machinify’s healthcare customers are at the center of everything we do, so we employ innovative thinkers to solve issues our customers don't 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.

The DevOps Engineer will provide technical leadership in 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 You’ll 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

Qualifications

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: $150,000 - $180,000 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 employee's geographic location.

What’s 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 We’ll Share With You

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

At Machinify, we’re 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 we’re 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 law. In 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

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Machinify

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