资深软件工程师，后端（平台）
Staff Software Engineer, Backend (Platform)
关于Hex
Hex正在组建一支由建设者组成的团队，致力于让每个人都能成为数据专家。我们的平台解决了当今数据和分析工具中的关键痛点，使任何人都可以使用自然语言探索数据，无需代码或有代码，在可信的上下文中进行操作。Ramp、Figma、Stubhub、Anthropic和Gamma等数千家客户喜欢Hex，因为其美观的用户界面、代理超级功能和无限的灵活性。
Hex已从Sequoia、a16z、Snowflake和Amplify等领先投资者筹集了超过1亿美元。我们在旧金山和纽约设有办公中心，同时在美国和英国还有远程员工，我们是一支高自主性的团队，快速交付并享受其中的乐趣。查看我们的Hex介绍视频和员工手册，了解更多在Hex工作的内容。
我们正在寻找一位资深或高级软件工程师加入我们的Compute团队。
Hex的Compute团队负责产品中最困难的性能问题：我们的用户从分析100行CSV文件到查询PB级Snowflake表，所有情况下都期望感觉快速。我们为客户提供一个技术产品，他们信任该产品能准确地从自己的系统中检索数据，然后高效执行多语言后端分析工作流。
这是一个以后端为主的职位，重点在于计算、性能、数据系统设计和系统架构。你将推动多年累积的架构决策，编写塑造团队构建方式的技术设计，并直接影响Hex计算平台的长期发展——同时深入参与代码库。
你将负责：
- 演进Hex的执行架构——这个基于图的系统会编译、规划并运行用户笔记本——包括提出并构建全新的计算组件，以支持更快、更智能的执行
- 推动并行执行策略和缓存方法，以减少延迟并最小化不必要的外部数据仓库往返
- 对复杂系统进行监控，以揭示和诊断性能问题，让团队和客户更清楚地了解时间消耗在哪里
- 与工程团队协作
查看英文原文
ABOUT HEX
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today’s data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp https://hex.tech/customers/ramp/, Figma https://hex.tech/customers/figma/, Stubhub https://hex.tech/customers/stubhub/, Anthropic, and Gamma love Hex https://www.g2.com/products/hex-tech-hex/reviews for our beautiful UI, agentic superpowers, and boundless flexibility.
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we’re a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video https://www.youtube.com/watch?v=qAXsnrNlavk and employee handbook https://www.notion.so/hexhq/Hex-Handbook-9fff0d42860e4f70815c599e0d1664d6 to learn more about what it’s like to work at Hex.
We are looking for a Staff or Principal-level software engineer to join our Compute team.
Hex's Compute team owns one of the hardest performance problems in the product: our users do everything from analyzing 100-line CSV files to querying petabyte-scale Snowflake tables, and in all cases they expect it to feel fast. We power a technical product that our customers trust to accurately retrieve data from their own systems to then efficiently execute polyglot backed analytics workflows.
This is a backend-heavy role with a focus on computation, performance, data systems design, and systems architecture. You'll drive architectural decisions that compound over years, write the technical designs that shape how the team builds, and directly influence the long-term trajectory of Hex's compute platform — all while staying deeply hands-on in the codebase.
WHAT YOU WILL DO:
- Evolve Hex's execution architecture — the graph-based system that compiles, plans, and runs user notebooks — including proposing and building entirely new compute components that support faster, smarter execution
- Drive parallel execution strategies and caching approaches that reduce latency and minimize unnecessary round trips to external data warehouses
- Instrument complex systems to surface and diagnose performance problems to give the team and our customers a much clearer picture of where time is being spent
- Collaborate across engineering and product to support new platform capabilities, such as building an internal query language that compiles to the appropriate dialect for any connected warehouse
- Author and review technical proposals, and mentor engineers to implement ambitious designs effectively
- Propose and roadmap long-term designs with clear milestones across quarters
ABOUT YOU:
- 10+ years of backend engineering experience, with a strong focus on computation, performance, database/storage optimization, and systems architecture
- Experience with parallel execution strategies, caching strategies, and the trade-offs involved in remote data warehouse computation. Strong systems thinker with solid intuitions around storage, database performance, algorithms, and data structures
- A track record of solving difficult, large-scale systems design problems involving significant data and operational complexity — writing code and reviewing code of your teammates
- The ability to move from abstract, vague problems to well-articulated, well-reasoned technical solutions — and to roadmap ambitious designs with clear milestones across quarters
- A strong communicator; comfortable leading technical work and collaborating across a remote-first team
- Python and/or TypeScript required; experience with both is a plus
NICE TO HAVE:
- Working knowledge of Kubernetes, Docker and cloud infrastructure
- Some frontend experience — this is a backend-focused role, but a willingness to occasionally wire a feature all the way through is a plus
This role is fully remote anywhere within the US Eastern timezone, with the option to work from our NYC office.
OUR STACK
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
The salary range for this role is: $221,250 - $348,500
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.