Staff Software Engineer (DevTools, Python) : Iterative

Job Description

We expect strong SW engineering skills and knowledge and excellent coding culture (CQ standards, automation, testing, FOSS contributions, etc). Specifically Strong Python experience is required, as well as and 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

Write (lots of) code (see some PR examples).

Write docs for your code (see this repo).

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

Requirements

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