Dev Ops Engineer at Rancho BioSciences LLC

1 year ago DevOps & System Administration Middle Full-Time

Rancho Biosciences, a certified Great Place to Work in 2022, is seeking a remote DevOps engineer with strong knowledge of cloud technologies to modify existing and build new solutions to support scientific data and information storage, access, and integration.


Desired Experience:

  • Minimum of 5 years' experience building DevOps automation for infrastructure and applications
  • Minimum of 3 years' experience in cloud specific technologies, preferably with AWS tech stack
  • Bachelor's degree in computer science or related field, Masters preferred
  • Prefer cloud (AWS) certifications
  • Demonstrated experience with a variety of technologies, including but not limited to Kubernetes, Containers (Docker), lxc/lxd, Git, Terraform, serverless computing
  • Strong bash scripting skills, and familiarity with the Linux command line
  • Show deep understanding of a variety of automation approaches and tools
  • Experience deploying/migrating/configuring automated data pipelines in the cloud
  • Ability to administer, monitor and develop disaster recovery strategies for data systems and applications
  • Strong experience using all aspects of AWS cloud offerings
  • Experience with data lake or data warehouse development
  • Solid understanding of various standards, frameworks, and methodologies
  • Ability to partner with complex business functions to understand current and future needs and create clear deliverables
  • Strong attention to details
  • Strong written and oral communication skills

Desired Skills:

  • Demonstrated experience with teamwork and collaboration amongst multiple teams
  • Must understand sense of urgency and have prioritization skills
  • Experience in a fast-paced, growing organization
  • Must be flexible and willing to change with quick turnarounds

Description

Rancho Biosciences, a certified Great Place to Work in 2022, is seeking a remote DevOps engineer with strong knowledge of cloud technologies to modify existing and build new solutions to support scientific data and information storage, access, and integration.

We are a Data Science company working with some of the most renowned pharmaceutical companies in the world. Our team of curators, computational biologists, data scientists, and software developers are located throughout the country. We support talented people living where they choose, working collaboratively together on projects that have a real impact on human health.

Desired Experience:

  • Minimum of 5 years' experience building DevOps automation for infrastructure and applications
  • Minimum of 3 years' experience in cloud specific technologies, preferably with AWS tech stack
  • Bachelor's degree in computer science or related field, Masters preferred
  • Prefer cloud (AWS) certifications
  • Demonstrated experience with a variety of technologies, including but not limited to Kubernetes, Containers (Docker), lxc/lxd, Git, Terraform, serverless computing
  • Strong bash scripting skills, and familiarity with the Linux command line
  • Show deep understanding of a variety of automation approaches and tools
  • Experience deploying/migrating/configuring automated data pipelines in the cloud
  • Ability to administer, monitor and develop disaster recovery strategies for data systems and applications
  • Strong experience using all aspects of AWS cloud offerings
  • Experience with data lake or data warehouse development
  • Solid understanding of various standards, frameworks, and methodologies
  • Ability to partner with complex business functions to understand current and future needs and create clear deliverables
  • Strong attention to details
  • Strong written and oral communication skills

Desired Skills:

  • Demonstrated experience with teamwork and collaboration amongst multiple teams
  • Must understand sense of urgency and have prioritization skills
  • Experience in a fast-paced, growing organization
  • Must be flexible and willing to change with quick turnarounds
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