Senior DevOps Engineer

Ellipsis Health is creating cutting-edge AI/ML products that solve healthcare staffing issues and administrative burdens using conversational AI and our patented voice biomarker technology in the delivery of better healthcare for everyone. We are headquartered in Silicon Valley and are funded and supported by some of the most preeminent venture capital teams.

We are currently looking for a seasoned Dev Ops engineer with significant experience in operating commercial-grade consumer-facing services, APIs, and web apps that leverage Machine Learning tools and technologies. In this role you will work closely with Engineering and ML teams to build a highly reliable, scalable, available, performant, and cost-effective production environment along with similar ones for development and quality assurance.

It is a great opportunity to build the next generation of our app that will be used by millions of users all over the world.

Ellipsis Health is located in the San Francisco Bay Area, but we are open to remote candidates for this role. However, they must be in the U.S.

• Build new Kubernetes clusters and update existing ones with new images
• Release management, CI/CD, and Git Ops
• Build and enhance service monitoring
• Set up access control, audit logging, and other security and compliance-related configurations
• Develop robust backup, disaster recovery, and business continuity tools and processes
• Help maintain 99.99% or higher availability SLA
• Service cost modeling and ongoing cost optimization to drive down our service cost

• Bachelor’s or Master’s Degree in Computer Science or equivalent
• 5+ years of industry experience
• Expert-level experience in deploying and operating services in Google Cloud (GCP), Docker, Kubernetes, IAM, Networking, Firewall, Security Configurations, etc.
• Solid Dev Ops experience with AWS
• Expertise in Infrastructure-as-a-Code using Terraform / Open Tofu
• Programming expertise in Python and shell scripting
• Experience with the standard tools of the trade. For example, Git, Jenkins, Jira, Confluence, Open Telemetry, Prometheus, Datadog, Pager Duty, New Relic, etc.
• Experience with building and operating LLM services in Kubernetes including provisioning resources for model training in a cost-effective way
• Some experience with a No
  
  SQL database, cost modeling

• Knowledge of FHIR, HL7, and HIPAA or other regulatory standards (e.g. SOC-2,HITRUST)
• Dev Ops experience with Microsoft Azure

Salary and Benefits
We offer competitive salary and benefits, including 401k matching up to a certain percentage of your salary, health, vision, and dental insurance, and very flexible paid time off. The typical salary range for this role is $150,000 to $190,000 USD. The amount offered will be determined by a variety of factors including but not necessarily limited to your individual skills, qualifications, and past experience relative to the requirements of the role.

Background Checks
As a health technology company, we reserve the right to run a background check on any applicant to which we extend an offer and to re-perform any such check at any time during the course of employment. Please know that there is no set policy on rejecting candidates because of certain background check results, and that we look at a candidate as a whole before making any decisions.

We comply with all “ban the box” laws in applicable jurisdictions.

Assistance
If you have a disability or otherwise require any assistance whatsoever in the application or recruitment process, please feel free to submit a request  .