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Caris

Provides AI-powered molecular insights for cancer

Senior Staff Devops Engineer

Platform EngineeringPosted on Nov 11
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, or a related field is required.
  • At least 9 years of experience in DevOps or Site Reliability Engineering roles is required.
  • At least 7 years of hands-on experience with AWS services and cloud architecture is required.
  • At least 7 years of hands-on experience with Kubernetes, including cluster management, troubleshooting, and optimization, is required.
  • Expert proficiency in at least one programming language, such as Python or Go, and a track record of developing and maintaining production-grade software are required.
  • Extensive experience with Infrastructure as Code tools such as Terraform, CloudFormation, or AWS CDK, and the ability to design scalable, modular Infrastructure as Code frameworks, are required.
  • A deep understanding of containerization technologies and orchestration platforms, including security best practices and performance optimization techniques, is required.
  • Experience designing and implementing enterprise-grade CI/CD pipelines and DevOps workflows is required, preferably with GitLab CI; hands-on expertise with pipelines, runners, and modular templates is required.
  • Expert-level networking in complex AWS environments is required; hybrid or multi-cloud experience is a plus.
  • Strong analytical and problem-solving skills and the ability to troubleshoot complex distributed systems and provide solutions are required.
  • The ability to lead proof-of-concept initiatives and evaluate new technologies is required.
  • Experience creating and maintaining technical documentation and knowledge bases is required.
  • The ability to communicate complex technical concepts effectively to technical and non-technical stakeholders, including executive leadership, is required.
  • Proficiency with Microsoft Office Suite, specifically Word, Excel, and Outlook, and general working knowledge of the Internet for business use, is required.
  • Hands-on experience using AI-assisted development tools such as Claude or Cursor to accelerate engineering work, including building automations, agents, and reusable skills or workflows that improve team productivity and reduce operational toil, is required.
  • Hands-on experience with GitOps-based continuous delivery using ArgoCD, including app-of-apps, sync and health management, and Helm or Kustomize deployments to Kubernetes, is required.

Responsibilities

  • Architect and lead implementation of large-scale, complex Kubernetes environments on AWS EKS, ensuring enterprise-grade availability, scalability, and security, and design advanced features such as multi-cluster management, service mesh architectures, and custom controllers.
  • Drive strategic proof-of-concept initiatives for emerging technologies and evaluate their potential impact on the organization's technical landscape and business goals.
  • Lead development of enterprise-wide standards for Kubernetes cluster lifecycle management, including upgrade strategies, security policies, and performance optimization frameworks.
  • Provide expert consultation to cross-functional teams on cloud-native application design, microservices architecture, and container orchestration strategies.
  • Architect and implement multi-layered observability solutions integrating metrics, logs, and traces; develop predictive monitoring capabilities and establish organization-wide observability standards.
  • Lead adoption of advanced Infrastructure as Code practices and oversee implementation of sophisticated CI/CD and GitOps-based continuous delivery pipelines, including modular design patterns, reusable components, and automated testing frameworks for application deployment and image management across multiple environments.
  • Develop and execute the organization's cloud security strategy, including zero-trust architectures, automated compliance checks, and security-as-code practices; translate regulatory and compliance requirements such as HIPAA, SOC 2, and SOX into actionable cloud implementation plans.
  • Lead large-scale cloud migration and application modernization initiatives, collaborating with business stakeholders to align technical solutions with organizational objectives.
  • Identify strategic opportunities for process improvement and automation across DevOps and cloud infrastructure, and develop and execute long-term roadmaps to improve cloud operations and DevOps practices.
  • Lead critical incident response efforts and participate in on-call rotations to support and improve the reliability of critical cloud infrastructure.
  • Mentor junior engineers, collaborate with executive leadership to align technology solutions with business objectives, and promote continuous improvement, knowledge sharing, and operational excellence.
  • Respond to emergency issues after hours and maintain on-call availability as required.

Desired Qualifications

  • AWS Professional-level certifications, such as Solutions Architect Professional or DevOps Engineer Professional.
  • Kubernetes certifications, such as CKA, CKAD, or CKS.
  • Experience with multiple cloud platforms, such as AWS and GCP, for multi-cloud architectures.
  • Expertise in database technologies, including design and optimization of distributed database systems such as MySQL, PostgreSQL, and serverless platforms.
  • Proficiency with monitoring and observability tools such as Datadog and AWS CloudWatch.
  • Hands-on experience with configuration management tools such as Ansible, Chef, or Puppet.
  • Experience implementing knowledge management systems or tools in a DevOps environment.
  • Contributions to open-source projects or personal projects demonstrating cloud expertise.

About the Company

Caris

Provides AI-powered molecular insights for cancer

Caris Life Sciences provides molecular information to cancer patients, oncologists, researchers, and payors to guide personalized cancer care. Its core product uses molecular profiling and artificial intelligence to interpret a cancer’s molecular features at diagnosis, helping predict how the cancer may behave and which treatments are likely to work. The company differentiates itself by delivering a comprehensive, AI-assisted set of molecular insights across multiple stakeholders, translating complex genomic and other molecular data into actionable treatment guidance. Its goal is to improve cancer outcomes by enabling more precise, tailored therapy for each patient.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Irving, TX
Founded
1996

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