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资深软件工程师 - 数据

雇主

Dune

地点

远程 · 中国

待遇

面议

工作模式

远程

截止日期

12月9日

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岗位摘要

About Dune Dune is on a mission to make crypto data accessible. We’re a collaborative multi-chain analytics platform used by thousands of developers, analysts, & investors to understand the on-chain world and the frontiers of finance. We’re a team of ~60 employees, working together across Europe and eastern US timezones ️. We believe in our…

岗位职责

About Dune
Dune is on a mission to make crypto data accessible. We’re a collaborative multi-chain analytics platform used by thousands of developers, analysts, & investors to understand the on-chain world and the frontiers of finance. We’re a team of ~60 employees, working together across Europe and eastern US timezones ️. We believe in our mission, and in building a powerful, open product that allows individuals and communities to do deep research into important ecosystems like Bitcoin, Ethereum, Solana, and many more.
We’re backed by some of the world's best investors. In February 2022, we announced our Series B funding round led by Coatue and Union Square Ventures, an important milestone that allowed us to double down on our mission. We’re using the funds to educate, reward and empower a new generation of onchain analysts aka Wizards ‍♀️
If you want to have one of the highest impact jobs on the planet, come join our wonderful team of Galaxy brains.
Learn more about us:
Dune's Vision
Values and working at Dune
About the role
Data Foundationowns how blockchain data enters Dune, how it is represented and how it’s delivered externally. This is a role that involves thinking about large distributed data systems, recognising traditional scaling patterns and software lifecycle pitfalls, and is ideal for anyone passionate about those topics.
You will be the engineer we hand ambiguous product requirements to, and will be comfortable coming back with a design, a sequence, and a set of tasks the team can pick up as well as building the hardest parts yourself.
In this role you will
Turn product requirements into technical requirements: model the domain, define the interfaces and the workflows, and navigate trade-offs
Break large problems into work other engineers can own, and sequence it so we ship something useful early
Drive high-impact architectural decisions across the data platform, and own components end to end from design through production
Work across our stack, mainly Go, Kotlin, Rust and Python where they fit, choosing the right tool rather than the familiar one
Design for correctness and performance under real volume: large-scale ingestion, distributed processing, and data lake storage
Raise the bar on design reviews, testing, and how the team breaks work down
Mentor engineers by example, in a fully distributed team
You might be a great fit if
You are a strong generalist with real computer science fundamentals, and you use them to adapt quickly to new technologies and problem spaces
You reason from first principles: you make assumptions explicit, identify the constraints and invariants that matter, and derive the solution rather than reaching for a familiar pattern.
You use computer science fundamentals as practical tools. You have designed and shipped distributed data systems, making their contracts, state transitions, invariants, and failure modes explicit. You know their fault models and scaling weaknesses
You are comfortable with ambiguity : you will talk to product, to customers, and to the team, then commit to a scope and defend it
You use AI tools well enough that they have changed how you work, you understand their failure modes and dislike ai-slop.
You communicate clearly in writing and get the best out of a distributed team
Not required, but a plus
Experience with data lakes and formats such as Parquet, Iceberg or Deltalog
Experience at a company where the data is the product
Perks & Benefits
A competitive salary and equity package . Both salary and equity is top 25% of companies in the space
Our employee equity scheme has world-class employee-friendly terms with a heavily discounted strike price (~90%) and a 10-year exercise window
5 weeks PTO + local public holidays (that can be swapped to suit you)
A fully remote-first approach ‍ within a distributed team with flexible working hours; you structure your own day
Say goodbye to meeting overload! We believe in a healthy mix of async and sync work, so you can focus on what truly matters—no more wasted time on endless meetings!
Good health is important, so we offer private medical insurance, dental & vision as standard
We believe in paid parental leave to help you celebrate this important milestone, transition to your new life, and bond with your new baby. We offer 16 weeks to primary and 6 weeks to secondary caregivers, fully paid. Plus a 2-week part-time phased return at full pay to help you get used to your new (and slightly more complex!) schedule
Quarterly offsites in various exciting locations as a company or team to connect, work together and have fun (so far in Tuscany Berlin Austria and Athens ).
On top of this each person gets a yearly travel allowance to connect and co-work with someone or a team of people for a few days.
An allowance for your at-home setup, to ensure you are happy, comfortable and productive. If you prefer a local co-working space, we’ll pay for your desk.
Work with some of the best people you’ll ever get to meet!
And of course, you get some awesome Dune swag! ✌️
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We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
#LI-Remote

申请条件

- 具备处理大型分布式数据系统的经验
- 熟悉传统扩展模式和软件生命周期陷阱
- 能够将模糊的产品需求转化为技术需求,包括领域建模、接口和工作流定义
- 能够权衡技术取舍
- 能够将大型问题分解为其他工程师可负责的任务,并合理安排顺序以实现早期交付
- 能够推动数据平台的高影响力架构决策
- 能够端到端负责组件,从设计到生产
- 对大型分布式数据系统、扩展模式和软件生命周期有强烈热情
- 能够在欧洲和美国东部时区跨地域协作

雇主简介

Dune is a collaborative multi-chain analytics platform that makes crypto data accessible, used by developers, analysts, and investors for on-chain research.

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