Senior Software Engineer, Posit
Shiny
+ An annual profit-sharing bonus
Open source and enterprise ready tools
Open for applications
Open source and enterprise ready tools
201-500 employees
Open for applications
+ An annual profit-sharing bonus
201-500 employees
Company mission
To create free and open-source software for data science, scientific research, and technical communication.
Role
Who you are
- Have significant experience doing development work on complex code bases and frameworks or tools used by other developers or data scientists
- Highly experienced user of git and GitHub and possess strong skills with *nix command line tools
- Experience with javascript, typescript and SCSS
- Have worked with and ideally contributed to open source python data packages
- Have a passion for data science and the presentation of dynamic data
- Strong debugging skills and an analytical approach to complex problems including using a range of tools to troubleshoot complex issues at all levels of the stack
- Should be able to collaborate with all team members and across teams to ensure all the pieces fit together, contributing to and listening to diverse perspectives
- Love solving complex technical problems but balance that with an understanding of the process and group needs which support great work across the wider team
- Extra credit if you have previous experience using Shiny to deliver complex solutions or other relevant data engineering experience
What the job involves
- This role will focus on systems-level work affiliated with the Tidyverse and Shiny supporting efforts to help enterprises put R workflows into production
- Things you’ll own:
- Authoring, reviewing, testing, and deploying code regularly
- Building new features and packages starting from idea inception through to deployment
- Supporting fellow team members in their understanding of the Python way and how the python data science community works
- Things you’ll help with:
- Reviewing pull requests submitted by the community
- Fixing bugs and adding new features, driven by GitHub issues
- Providing leadership for the team, particularly when it comes to delivering projects that impact the growth of the Tidyverse or Shiny
- Developing documentation, guides and content to aid the community on their journey to make effective use of Shiny for Python and related packages
- Things you’ll teach the team:
- How to improve our ability to natively speak to Python data science practitioners and the community
- New ways to help a small team build on its contribution to open source data engineering software in both the R and Python ecosystems
- Things you’ll learn:
- Working on open source in public
- How to navigate building and enhancing a framework for other developers that sees a high level of use and spans multiple ecosystems (R and Python)
- An understanding of the R community and how they work with Shiny and other Posit open source tools
- Within 1 month, you will…
- Meet individually with all members of the Shiny team as well as a number of members from other open source teams. (Tidyverse, Quarto, Machine Learning)
- Review and improve the work of your closest collaborators
- Submit at least 1 PR to the Shiny for Python ecosystem
- Within 3 months, you will…
- Have built an understanding of the full Shiny for Python ecosystem
- Act as the principal developer for a significant new Shiny for Python ecosystem feature
- Independently triage and resolve a number of incoming Shiny for Python issues and requests
- Within 6 months, you will…
- Be submitting a healthy flow of PRs as well as helping give feedback on others’ work
- Complete and support the production rollout of a release featuring your work
- Enumerate ideas for how to improve the Shiny for Python ecosystem to increase adoption by the community
- Within 12 months, you will...
- Have successfully designed, developed, and delivered multiple new features for Shiny for Python that have been deployed to production and are in active use
- Make significant contributions to the architecture and roadmap of the Shiny ecosystem and plans to accomplish those goals
- Have contributed to new content assisting users in understanding, getting started and successfully building Shiny apps
- This could be in the form of giving talks or workshops, posting to the Shiny blog, assisting users on discord or recording videos on how to build Shiny Apps
Our take
In a data-driven world, having reliable and accessible software is key to optimizing functionality. Posit provides R and Python-based tools to help improve the speed and quality of analysis, created "for data scientists by data scientists", with uses in data science, scientific research, and technical communication.
Posit's unique approach to creating universal data processing capabilities is helping to create new pathways in the digital age. It uses a unique blend of social and commercial endeavours to satisfy the demand for comprehensive data processing, and many of the company's products, including Posit Team for enterprises, are open sourced and accessible to all. Those looking for more advanced products can access programs such as Posit Server Pro and Shiny Server Pro for workspace management.
Given its unique approach to data management, entities from Liberty Mutual to Walmart and NASA have been incorporating Posit's technology. The company has received considerable amounts of funding, which has been used to expand its services, in 2024 launching the beta of its next-gen data science development environment. As the demand for open-source services continues to grow, Posit's effort to create data management services for all should continue to capture market share.
Steph
Company Specialist at Welcome to the Jungle
Insights
41% employee growth in 12 months
Company
Funding (1 round)
May 2021
$161.3m
LATE VC
Total funding: $161.3m
Company benefits
- 100% remote (or come in to one of our offices in Seattle or Boston)
- Pick your hardware — we want to equip you with what you need to do your best work
- All our full time employees are given an allowance to outfit their home office
- We have a flexible environment with a “take what you need” vacation policy
- Positive, passionate culture working with a world-class team committed to data science and the R language
Company HQ
South Boston Waterfront, Boston, MA
Leadership
JJ Allaire
(CEO)Founded Allaire, where they served as CEO and then Chairman. JJ also founded Onfolio, which was acquired by Microsoft. They founded FitNow in 2008 before starting RStudio in January 2010.
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