Full-Time

Senior Devops Platform Engineer

Updated on 12/17/2024

Karius

Karius

51-200 employees

Non-invasive diagnostic tests for infections

Biotechnology
Healthcare

Compensation Overview

$136k - $204kAnnually

Senior

San Carlos, CA, USA

Hybrid position in Redwood City, CA.

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Kubernetes
Python
Git
Groovy
Docker
TypeScript
CloudFormation
AWS
Go
Prometheus
Jenkins
Terraform
Ansible
Development Operations (DevOps)
Linux/Unix
Requirements
  • BS or MS degree in Computer Science, Software Engineering, or related technical fields involving algorithms and coding, with a focus on cloud infrastructure and automation.
  • 5+ years of software engineering, DevOps, and/or SRE experience
  • Extensive experience with AWS and other Cloud services.
  • Extensive experience with Infrastructure as Code tools like Terraform, Ansible, or CloudFormation.
  • Experience in running cloud services using containers and cluster management tools such as Docker, Kubernetes, Helm, Kustomize, Istio
  • Developing and operating continuous integrations and deployments
  • Programming skills in developing and operating software in cloud environments using Python, Golang, or Groovy.
  • Excellent troubleshooting and problem-solving skills, with a proactive approach to identifying and resolving issues.
  • Strong communication skills, with the ability to work effectively in a collaborative, fast-paced environment.
  • Experience with Docker and Kubernetes on platform - AWS EKS
  • Knowledge and working experience with: - Unix based operating systems - Automation frameworks and toolsets such as Terraform, Ansible, Chef etc. - Code repositories (like Git) and artifact repositories (like Artifactory, ECR) - Networking: VPCs, traffic routing, DNS, load balancing etc.
  • Knowledge of security best practices and controls such as RBAC, OWASP, HIPAA
  • Extensive knowledge of CICD pipelines to build and support such as GitHub Actions, Jenkins - automation framework
  • Knowledge of Internal Developer Platform and Typescript
  • Knowledge of Quality Engineering and Test framework
  • Systematic problem-solving and debugging, coupled with strong communication skills and a sense of ownership and drive
  • Ability and desire to work on and support all aspects of software development in an agile environment including documentation, design, development, and testing of features and sub-systems
  • Experience in the healthcare or life sciences industries, and familiarity with related regulations is preferred.
Responsibilities
  • Develop and maintain scalable, secure, and cost-effective cloud infrastructure using Infrastructure as Code (IaC) tools
  • Manage cloud resources across multiple environments (AWS, GCP, or Azure), optimizing for cost, performance, and security
  • Building a shared platform, including the tools, services, workflows, and data used by engineers, data scientists and other teams across the organization
  • Collaborate with the security team to incorporate best practices into the DevOps process, ensuring compliance with HIPAA and other regulatory requirements
  • Develop and maintain scripts and tools to automate routine tasks and improve operational efficiency
  • Implement and maintain robust monitoring, logging, and alerting solutions (using tools such as Prometheus, Grafana, or ELK stack) to ensure high system availability and quick incident response
  • Lead incident response efforts for production environments, ensuring swift resolution of issues and minimizing downtime
  • Managing the software code lifecycle
  • Building continuous integration and delivery
  • Establishing and monitoring change management and release quality gates compliant with life science and diagnostic industry regulations
  • Building a platform for automated testing and quality measurement throughout the development lifecycle
  • Monitoring and support of production operation
  • Driving innovation in DevSecOps processes and infrastructure implementation according to the industry standards and best practices such as NIST framework
  • Bring new ideas, designs, and tools to the table, drive technical discussions and decision making related to the provisioning and operation of the software stack

Karius focuses on medical diagnostics for infectious diseases, offering the Karius Test, a liquid biopsy that detects over 1,000 pathogens from a single blood sample. This non-invasive test provides quick results, helping clinicians treat hospitalized patients without the need for multiple invasive tests that can delay care. The Karius Test utilizes advanced genomics and artificial intelligence to identify microbial cell-free DNA (mcfDNA) in the bloodstream, giving insights into the pathogens responsible for infections. Karius differentiates itself by providing a faster and less invasive alternative to traditional diagnostic methods, which can save lives and lower healthcare costs. The company continuously updates its machine learning algorithms and reference genome databases to enhance its diagnostic capabilities, aiming to lead in the field of infectious disease diagnostics.

Company Stage

Series C

Total Funding

$311.3M

Headquarters

Redwood City, California

Founded

2014

Growth & Insights
Headcount

6 month growth

4%

1 year growth

20%

2 year growth

20%
Simplify Jobs

Simplify's Take

What believers are saying

  • Karius received FDA Breakthrough Device Designation for its test.
  • The company raised $100M to expand beyond 400 U.S. hospitals.
  • Experienced board members were appointed to strengthen strategic direction.

What critics are saying

  • Emerging competition from AI-driven technologies like DeepMind's AlphaFold 3.
  • Dependency on FDA approvals could delay market expansion.
  • Limited deployment in 400 healthcare institutions poses a partnership risk.

What makes Karius unique

  • Karius Test detects over 1,000 pathogens from a single blood sample.
  • The test uses AI to analyze microbial cell-free DNA for rapid diagnosis.
  • Karius offers a non-invasive alternative to traditional diagnostic methods.

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