Ellipsis Health
Senior DevSecOps Engineer
San Francisco - Hybrid · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$5,131 more — $165,131 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,131 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Ellipsis Health is headquartered in San Francisco's historic Financial District.
- For example, Argo, Git, Jira, Confluence, OpenTelemetry, Prometheus, Datadog, PagerDuty, New Relic, etc.
- The typical salary range for this role is $160,000 to $250,000 USD, depending on skills, qualifications, and relevant experience.
Responsibilities
- Build new Kubernetes clusters and update existing ones with new images
- Build, maintain, and improve release management, CI/CD, and GitOps process and automation
- Build and enhance service monitoring with Datadog, OpenTelemetry, Prometheus
- Configure and maintain automation for access control, audit logging, and other security and compliance-related goals
- Develop robust backup, disaster recovery, and business continuity tools and processes
- Help maintain 99.9% or higher availability SLA
Requirements
- Bachelor's or Master's Degree in Computer Science or equivalent
- 7+ years of industry experience
- Expert-level experience in deploying and operating services in Google Cloud, AWS, Azure, Docker, Kubernetes, IAM, Networking, Firewalls, Security Configurations, etc.
- Expertise in Infrastructure-as-a-Code using Terraform / Atlantis
- Programming expertise in Python, shell scripting, TS, Node, Go, or similar
- Experience with standard tools of the trade.
- Solid DevOps experience, preferably with GitLab and GCP
- Experience with standard tools of the trade. For example, Argo, Git, Jira, Confluence, OpenTelemetry, Prometheus, Datadog, PagerDuty, New Relic, etc.
Nice to have
- Knowledge of FHIR, HL7, and HIPAA or other regulatory standards (e.g. SOC-2, HITRUST)
- Experience with STT and TTS pipelines in the context of LLMs
- We evaluate candidates holistically and comply with all "ban the box" regulations.
Compensation
- The typical salary range for this role is $160,000 to $250,000 USD, depending on skills, qualifications, and relevant experience.
Benefits
- We offer competitive salary and benefits, including 401(k) matching, health, vision, and dental insurance, and very flexible paid time off.
- As a health technology company, we reserve the right to run background checks on candidates to whom we extend offers, in compliance with applicable laws.
- If you have a disability or require accommodations during the application or recruitment process, please contact careers@ellipsishealth.com.
- We are currently looking for a seasoned DevSecOps engineer with significant experience in operating commercial-grade consumer-facing services, APIs, and web apps that leverage Machine Learning tools and LLM technologies.
This listing is sourced directly from Ellipsis Health's careers page and normalized into a canonical job model.