Machinify-posted 2 months ago
$150,000 - $180,000/Yr
Full-time • Mid Level
Roseville, CA
1,001-5,000 employees

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.

  • Facilitate the movement of VM technologies into Kubernetes through migration or replacement.
  • Automate everything. Nothing should require manual intervention.
  • 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 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.
  • 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.
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