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senior rstudio connect build engineer

Data DevOps, Linux, R Data Science Ecosystem, UNIX shell scripting

We are seeking a highly skilled and experienced Senior RStudio Connect Build Engineer to join our remote team.
You will play a crucial role in the build and deployment of R Shiny Apps and packages. With a strong background in DevOps and SysAdmin engineering, you will be responsible for advanced Linux concepts, operating system concepts, and the installation, upgrade, and patching of RStudio Workbench, Connect, and Package Manager. Your expertise in RStudio Connect and proficiency in R-Packages, Python packages, Easy Build, and Python programming will contribute to the success of our projects.

  • Build and deploy R Shiny Apps using RStudio Connect, following the Change Management process
  • Collaborate with cross-functional teams, including SO, QA, and Business, to ensure the availability of required support during expedited releases
  • Participate in quarterly releases, including scoping and rebuilding R as necessary
  • Contribute to Python package builds for a large volume of packages
  • Stay up to date with the latest upgrades, including Image J, NOMEM, PSN, Python, OpenShift, Mathematica, and RStudio Workbench, ensuring they are implemented to the latest versions
  • 4+ years of relevant production experience, specifically in RStudio Connect build and deployment
  • Expertise in RStudio Connect and experience with building and deploying R Shiny Apps
  • Strong knowledge of advanced Linux concepts and operating system concepts
  • Proven experience in the installation, upgrade, and patching of RStudio Workbench, Connect, and Package Manager
  • Proficiency in R-Packages, Python packages, Easy Build, and Python programming
  • Familiarity with RStudio (Workbench, Connect, Shiny) administration, Linux, and Unix Shell Scripting
  • Experience with OpenShift, GitLab, Docker, and Python programming
  • Excellent problem-solving and troubleshooting skills
  • Strong communication and collaboration abilities
  • B2+ English level
nice to have
  • Familiarity with package management
  • Experience with other relevant technologies and tools in the data science ecosystem

benefits for locations

For you
  • Medical insurance package for you and your family
  • Stable income
  • Paid sick leave days
For your comfortable work
  • 100% remote work forever
  • Free licensed software
  • Possibility to work on your own device (BYOD)
  • Stable workload
  • Relocation opportunities
  • Flexible engagement models
For your growth
  • Free trainings for technical, soft, and leadership skills
  • Access to LinkedIn Learning platform
  • Language courses
  • Access to internal and external e-Libraries
  • Certification opportunities
  • Skill advisory service
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