Astral Logo

Astral

Software Engineer, Platform

Reposted 17 Days Ago
Remote
100K-250K Annually
Mid level
Remote
100K-250K Annually
Mid level
The role involves building a new hosted product using Astral's open source tooling, focusing on cloud infrastructure, deployment, and APIs.
The summary above was generated by AI
Astral

At Astral, our mission is to make the Python ecosystem more productive by building next-generation developer tools — tools that enable developers to ship great software, faster.

To start, we've built Ruff, an extremely fast Python linter and formatter; and uv, a comprehensive Python package manager — two of the fastest-growing developer tools ever.

Next, we're continuing to push the future of Python with a state-of-the-art type checker — and building out our first hosted services.

Our early team includes the authors of ripgrep, bat, hyperfine, and maturin; early, core contributors to Biome and Prefect; and multiple CPython core developers — all building at the intersection of Rust and Python.

The Role

We're hiring backend and infrastructure engineers to build our first hosted product.

This is a full-stack, greenfield effort to build an entirely new product, atop and integrated with Astral's open source tooling. You'll be part of a small team, shipping alongside our CEO and iterating rapidly with world-class design partners.

In this role, you would significantly influence the technical stack and technical direction of the product, and could end up owning any (or even all) of the following:

  • Designing (and productionizing) our cloud infrastructure stack (e.g., cloud providers, hosting, deployment). Deep focus on cloud infrastructure scalability and efficiently.

  • Building out our deployment system, including monitoring, metrics, and observability. Own incident response and triage.

  • Designing (and productionizing) our cloud storage and content serving strategies.

  • Defining and implementing our database schema and data pipelines; optimizing database queries.

  • Designing (and productionizing) our backend API and data models.

Great candidates will have demonstrated, deep experience with backend Python development and building performant, robust cloud infrastructure at scale. Strong familiarity with the Python ecosystem is a bonus.

Great candidates will also be able to work across the stack where needed. There will be a lot of "startup engineering": figuring out how to move quickly while investing heavily in the areas and decisions that really matter.

The Team
  • We're not only remote, but highly distributed. We hire from Pacific Time (e.g., San Francisco, USA) to Central European Time (e.g., Munich, Germany), and get together twice annually for week-long, in-person on-sites.

  • We pay competitively (salary and equity) and offer comprehensive benefits (healthcare and more).

  • Our work is highly collaborative, but as is common in open source, much of that collaboration takes place asynchronously (in Discord, or GitHub, or Notion). We minimize meetings, and maximize time spent working in code.

  • We're a small, high-trust team. We strive to ship excellent software, at a fast pace. We have a lot of fun doing it. (See: Our Values.)

Our Process

Our hiring process is entirely remote and does not include any live coding segments. While the process may vary from candidate to candidate, it generally consists of three phases, each designed to mimic the kind of engagement and interactions you'd have as a member of the team:

  1. A take-home project, where we ask you to build out a tool based on a pre-defined specification.

  2. A presentation, where we ask you to present on some of your own work, and have the kind of technical conversation you'd have as a member of the team, grounded in something that you know well.

  3. A conversation with our founder, Charlie, where we discuss our company culture, your own goals, and how they map to the role.

Along the way, we'll talk through your background and interests to determine whether Astral is a good fit for your career goals.

Top Skills

APIs
Cloud Infrastructure
Database Management
Python
Rust

Similar Jobs

Yesterday
Easy Apply
Remote
USA
Easy Apply
181K-219K Annually
Senior level
181K-219K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
As a Senior Software Engineer in Infrastructure, you will build and operationalize tools for Kubernetes, enhancing both developer experience and system reliability.
Top Skills: AWSGCPKubernetes
Yesterday
Easy Apply
Remote
USA
Easy Apply
254K-299K Annually
Senior level
254K-299K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Senior Staff Software Engineer will lead the architectural transformation of the Payments Platform, focusing on high-reliability systems and AI-driven improvements while mentoring team members and driving cross-team initiatives.
Top Skills: AICloud-Native StacksContainer OrchestrationEvent-Driven ArchitecturesGoMessaging SystemsMlService Meshes
Yesterday
Easy Apply
Remote
United States
Easy Apply
200K-270K Annually
Senior level
200K-270K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
The Staff Software Engineer will develop and manage backend platforms for incentives and growth, ensuring robust operations and collaborating across teams to enhance Affirm's systems.
Top Skills: AWSKotlinKubernetesMySQLPythonSpark

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account