Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.

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

What You Bring

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

What We Offer

Our team is distributed and most of us work from home
A flexible and trusting environment where you'll feel empowered to do your best work
Hardworking and supportive colleagues and a leadership team that understands the importance of recruiting and retaining top talent
Incredible Medical/Dental/Vision benefits for employees & their families.
Competitive salary and equity, 401(k) sponsorship, life insurance
Generous Learning and Development Reimbursement policy

The base salary for this position will vary based on an array of factors unique to each candidate such as qualifications, years and depth of experience, skill set, certifications, etc. The base salary range for this role is $190-200k. We are hiring for different seniorities, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.

Equal Employment Opportunity at Machinify

Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.

Machinify jobs

DevOps Engineer