
201 - 500 employees
Founded 2014
🏥 Healthcare
🧬 Biotechnology
🤖 Artificial Intelligence
💰 $290M Corporate Round on 2022-01
Healthcare • Biotechnology • Artificial Intelligence
Freenome is a company focused on advancing early cancer detection through the integration of scientific innovation and artificial intelligence. Their platform uses multiomics technology to identify cancer at its most treatable stages, enabling early intervention. The company emphasizes a standard blood draw method for ease of use, aiming to redefine cancer screening. Freenome is driven by a robust clinical research program and is committed to discovering, developing, and validating early cancer detection tests, employing a multidisciplinary team dedicated to pushing the boundaries of what's possible in cancer diagnostics.
🔥 2 minutes ago
🇺🇸 United States – Remote
💵 $131.3k - $189.5k / year
⏰ Full Time
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Azure
Cloud
Distributed Systems
Google Cloud Platform
Grafana
Kubernetes
Prometheus
Python
ServiceNow
Terraform
Go
Where this job comes from
Posted on Freenome's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago

201 - 500 employees
Founded 2014
🏥 Healthcare
🧬 Biotechnology
🤖 Artificial Intelligence
💰 $290M Corporate Round on 2022-01
Healthcare • Biotechnology • Artificial Intelligence
Freenome is a company focused on advancing early cancer detection through the integration of scientific innovation and artificial intelligence. Their platform uses multiomics technology to identify cancer at its most treatable stages, enabling early intervention. The company emphasizes a standard blood draw method for ease of use, aiming to redefine cancer screening. Freenome is driven by a robust clinical research program and is committed to discovering, developing, and validating early cancer detection tests, employing a multidisciplinary team dedicated to pushing the boundaries of what's possible in cancer diagnostics.
• Help define the culture and build systems that keep regulated, cloud-based production environments reliable • Design, implement, and operate observability, reliability, and incident management systems across clinical lab systems and regulated commercial workloads • Partner with engineering teams to define service-level indicators, objectives, and error budgets • Build runbooks and operational playbooks • Develop monitoring and automation to ensure systems are reliable and compliant • Contribute to system code, infrastructure deployments, and automation • Define and implement production observability practices, including metrics, traces, dashboards, logs, and alerts • Develop and maintain incident response playbooks and escalation procedures • Participate in production on-call rotation and champion automation and self-healing • Contribute to FDA- and compliance-compliant production deployment and change-management processes • Automate operational tasks and reduce manual intervention • Manage and deploy team-owned infrastructure and subsystems using Infrastructure as Code • Build out and evolve the SRE practice • Collaborate with engineering, product, lab, TPM, RA/QA, and compliance teams • Participate in incident reviews, postmortems, fire drills, tabletop exercises, and disaster recovery exercises • Document operational standards and share knowledge for consistency and onboarding • Independently drive reliability improvements in scoped systems or services • Mentor peers on observability, incident management, and operational best practices • Contribute to reliability practices and team strategy discussions • Report to the Director, Cloud Infrastructure
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience • 5+ years in software engineering or Infra/DevOps/SRE roles; Python or Go preferred • Experience deploying cloud infrastructure via automation, such as Terraform, Pulumi, or Bicep/ARM • Hands-on experience operating production workloads in cloud environments • Familiarity with Kubernetes, including AKS, GKE, or EKS • Strong troubleshooting and root-cause analysis skills in distributed systems • Experience with observability platforms such as DataDog, Prometheus/Grafana, or OpenTelemetry • Ability to define and implement metrics, dashboards, and alerting • Demonstrated ability to work autonomously and own technical outcomes • Strong understanding of cloud infrastructure and networking architectures and automation • Experience supporting regulated environments such as healthcare, biotech, or financial environments • Familiarity with compliance-driven change management and release processes, including FDA and HIPAA • Experience with incident management platforms such as Incident.io, ServiceNow, Opsgenie, or PagerDuty • Knowledge of CI/CD deployment strategies and change automation • Experience with both GCP and Azure cloud platforms • Interest in mentorship and system reliability practices at scale
• Equity • Cash bonuses • Full range of medical, financial, and other benefits depending on the position offered
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