Who We Are
Machinify is a leading healthcare intelligence company revolutionizing how health plans manage payments, efficiency, and transparency. Trusted by over 60 major health plans — representing more than 160 million lives — Machinify combines an AI-powered platform with deep industry expertise to drive smarter financial outcomes and reduce healthcare costs.
We’re innovators redefining what’s possible in healthcare through simplicity, clarity, and impact. Our culture values collaboration, curiosity, and integrity, empowering our teams to build meaningful solutions that make a real difference.
Location: Fully Remote
About the Opportunity
We are seeking a DevOps Engineer to design, automate, and optimize AI/ML cloud technologies — with a focus on migrating virtual machines (VMs) into Kubernetes environments. This role blends innovation and scalability, managing systems at big data scale while maintaining high uptime and exceptional customer experience.
As a core member of our engineering team, you’ll help shape the future of Machinify Cloud infrastructure, ensuring our healthcare clients continue to receive reliable, efficient, and transformative technology.
Key Responsibilities
-
Migrate and modernize VM-based technologies into Kubernetes environments.
-
Build end-to-end automation — eliminate manual processes and ensure redeployments are seamless.
-
Design and implement scalable, secure, high-performance cloud solutions.
-
Create, maintain, and troubleshoot distributed AI/ML compute systems in the cloud.
-
Collaborate across teams in an Agile environment to drive innovation and efficiency.
-
Contribute to healthcare transformation by simplifying complex systems and improving productivity.
-
Ensure accountability for all deployed solutions and support ongoing system excellence.
Qualifications
Required:
-
Proven experience migrating VM technologies into Kubernetes.
-
5+ years of production support experience, preferably in cloud environments (AWS, Azure, or GCP).
-
Degree in Computer Science or equivalent experience.
-
Proficiency in:
-
Kubernetes and containerization
-
Python, Shell, or other scripting languages
-
Infrastructure as Code tools (Terraform, Crossplane)
-
Linux (CentOS/RHEL)
-
CI/CD frameworks
-
-
Strong logical, problem-solving, and critical-thinking skills.
Preferred:
-
Experience with Spark, AI/ML frameworks (Azure OpenAI, AWS Bedrock, TensorFlow, MxNet).
-
Familiarity with Citus (Distributed Postgres).
-
Knowledge of security practices, Hi-Trust/SOC2 compliance, and DevOps best practices.
-
Adaptability, creativity, and a proactive mindset.
Compensation
Pay Range: $150,000 – $180,000 USD (base salary)
Compensation is based on experience, skill set, and geographic location.
What’s In It For You
-
Generous PTO, Paid Holidays, and Volunteer Days
-
Health, Vision, and Dental Coverage
-
401(k) plan with company match
-
Flexible Spending Accounts
-
Tuition Reimbursement
-
Company-paid benefits: Life insurance, short-term disability, parental leave
-
Flexible remote and hybrid work options
Our Core Values
-
Ask Why – We challenge assumptions and seek deeper understanding.
-
Think Big – We innovate beyond boundaries.
-
Be Humble – We learn from each other.
-
Optimize for Customer Impact – We measure success through our clients’ outcomes.
-
Deliver Results – We take ownership and execute with excellence.
Our Culture
At Machinify, we believe in empowering people to bring their best ideas to life. We encourage cross-functional collaboration, invest in ongoing learning, and celebrate diversity and inclusion. We’re united by our mission to make healthcare smarter, simpler, and more human.
We are an Equal Opportunity Employer and welcome applicants from all backgrounds. We participate in E-Verify and comply with all applicable state laws. If you need a reasonable accommodation during the hiring process, please contact our People Operations team.