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Guardant Health focused on rare-cell diagnostics
 
Engineering, Full Time       Posted: Wednesday, January 30, 2019
 
   
 
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JOB DETAILS
  Company Description

We believe conquering cancer is a big data problem. That's why we built the world's leading comprehensive liquid biopsy. This non-invasive tool for accessing & sequencing tumor DNA is used by thousands of oncologists to help tens of thousands of advanced cancer patients. We believe the boom in cancer data acquisition we helped launch will drive important discoveries & new products. We're working on some exciting ones, including in early detection, where the impact on patients can be profound. We've raised more than $500 million from investors including Sequoia Capital, Khosla Ventures, OrbiMed, & SoftBank.

Job Description

We are building a unique software stack to manage an ecosystem of microservices, RESTful APIs, & data integrations with internal & external systems to deliver useful & elegant user experiences in the extraordinarily complex oncology diagnostic & therapeutic landscape. We connect patients with clinical trials, help clinicians order our test & receive our clinical reports, & deliver valuable genomic datasets to researchers to help uncover important insights into treatment paradigms & drug discovery. Our technology stack reflects our views of using the best tools for the job, employing Java, Python, Ruby along with Kubernetes, Docker, Mule, MySQL, MongoDB, high-performance computing clusters (HPC), & a variety of AWS services to analyze & disseminate vast volumes of genomic data.

About the Role:

· In this role you will design, implement & maintain large scale Kubernetes clusters with monitoring, logging & alerting - Engage in & improve the whole lifecycle of services-from inception & design, through deployment, operation & refinement.

· Support services before they go live through activities such as system design consulting, developing software platforms & frameworks, capacity planning & launch reviews.

· Maintain services once they are live by measuring & monitoring availability, latency & overall system health.

· Scale systems sustainably through mechanisms like automation & evolve systems by pushing for changes that improve reliability & velocity.

· Practice sustainable incident response & blameless postmortems.

· Be part of an on-call rotation to support production systems & post-deployment monitoring.

About You

Are you dedicated, upbeat & dynamic with excellent analytical ability? Are you a software engineer passionate about systems & highly motivated about solving complex problems? If so, you may be a perfect fit for our group.

Experience Needed

· 1-3 years of experience in running cloud services using products such as Kubernetes, Docker or OpenShift.

· Programming experience in operating cloud environments using languages such as Python, Go, Ruby, Java, etc.

· Interest in designing, analyzing & troubleshooting large-scale distributed systems.

· Systematic problem-solving approach, coupled with strong communication skills & a sense of ownership & drive

· Ability to debug & optimize code & automate routine tasks

Education:

BS or MS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience.

#LI-LC1

Additional Information

All your information will be kept confidential according to EEO guidelines.

 
 
 
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