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Job Description
Participate and lead efforts around the development of our flagship DVC product and ecosystem – including leading and owning cross-product features and efforts and strong involvement with adjacent projects and products. We expect strong SW engineering skills and knowledge and an excellent coding culture (CQ standards, automation, testing, FOSS contributions, etc). Specifically Strong Python experience is required, as well as experience building dev tools and maintaining open-source software.
Responsibilities
- Discuss, research & lead issues, features, and even products.
- Be 100% hands on, be able to drive large changes, hold brainstoring and architecture discussions and put technical spec in place for other members to collaborate and follow on
- sWrite (lots of) code
- Write docs for your code
- Write blog posts and public updates about features and engineering challenges – participate in the product work lifecycle
- Work directly with management and founders and help translate our vision into a working, delightful functionality
- Be actively involved in the community – Support: talk to users on Github, Discord, forum, Understand their workflows: work with users, customers, product. Be able to demo and mock user projects and understand the hardships of ML and data-centric workflows
Qualification
- Motivation and interest – devtools space, Machine Learning and Data science space, Python ecosystem, storage and data systems
- Remote work self-discipline
- Excellent communication skills – clear, constructive, and respectful dialog with other team members, community and leadership. This includes (but not limited to) – written communication in form of technical discussions in various systems. We feel most at home on: Github, Slack, and Notion.
- Ability to manage your time, define, spec-out and deliver large tasks and features. contribute and co-own team and product planning, respect deadlines business priorities (demos, customers, conventions, and other milestones), etc
- Experience working remotely in Agile and dynamic teams
- Open source contributions and experience in maintaining projects (OSS)
- System programming experience – kernel-level, virtualization, databases, filesystems, etc.
- Strongly prefer: Some Machine Learning or Data Science experience – this is so you can easily identify and replicate user issues and worklows
Location: Remote.
For More Information: STAFF SOFTWARE ENGINEER
