Senior DevOps Engineer

at  Machinify

Machinify is a revolutionary healthcare software company with a mission to ensure that patients get the right medical treatment, at the right time, at the right price. Our cloud-based Machinify AI platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems, transforming healthcare administration and payment operations.
Machinify is seeking a Sr. 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 Senior 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.

• 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