Backend Software Engineer, MotherDuck
$140-250k
+ Equity
Data analytics platform
Open for applications
Data analytics platform
101-200 employees
Open for applications
$140-250k
+ Equity
101-200 employees
Company mission
To radically transform the data analyst user experience.
Role
Who you are
- Hands-on experience with distributed systems, preferably using Go, C++, or similar languages
- A strong understanding of performance, latency, and fault tolerance in real-world production environments
- Familiarity with API design, observability practices, and production debugging
- A product-focused mindset and a willingness to dive into unfamiliar areas when needed
- Ability to communicate technical ideas clearly and collaborate across teams
What the job involves
- We’re looking for Backend Engineers to help MotherDuck scale the magic of DuckDB into the cloud.
- As part of the team, you'll build distributed systems that power query execution, storage, access control, and other core platform capabilities
- Design and implement scalable backend services using Go and C++
- Build and evolve critical systems related to metadata, authentication, access control, query lifecycle, and file visibility
- Optimize for performance, reliability, and maintainability through careful design and operational rigor
- Collaborate with other engineers on architectural decisions and technical direction
- Investigate and resolve production issues and participate in a customer support or production oncall rotation
- Work closely with product and frontend teams to ensure backend systems enable complete and cohesive user experiences
- Example Projects;
- Implement new database semantics to enable customer usage patterns
- Improve storage performance by developing and tuning caching layers
- Optimize compute provisioning to ensure no noisy neighbors impact customers while keeping infrastructure costs low
Application process
- Round 1: Interview with our Talent Partner (30min)
- Round 2: Technical Screen with one of our Tech Leads (30min)
- Round 3: 4 meetings with members of the team (60min each)
- Round 4: Values interview with our CEO/Founder (45min)
Our take
In the increasingly complex landscape of data analytics, the challenges faced in managing and extracting meaningful insights from large datasets are on the rise. Conventional approaches, often involving distributed architectures and petabyte-scale data solutions, can be cumbersome, expensive, and less user-friendly for the majority of users who do not operate at such a large scale.
MotherDuck, recognizing this issue, has emerged as a solution provider with its serverless, user-friendly data analytics platform. Leveraging the power of the open-source database DuckDB, MotherDuck aims to simplify the scale-up approach to SQL analytics, offering a faster, more cost-effective alternative for the 95% of analysts who do not require petabyte-scale data solutions.
Having secured funding in 2023, the company has invested in further enhancing its platform and expanding its user base. MotherDuck continues to collaborate closely with the DuckDB team and integrate user feedback for enhancements. This means it can play a pivotal role in the evolution of serverless data analytics, while combatting common pitfalls that teams come up against as they rely more on AI systems.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Sep 2023
$52.5m
SERIES B
Nov 2022
$35m
SERIES A
Total funding: $100m
Company benefits
- Unlimited Paid Time Off
- 401k plan
- Regular offsites in hub or exotic locations
- 100% paid medical, dental, and vision for employees (plus 80% paid medical, dental, and vision for dependents)
Company HQ
Central Business District, Seattle, WA
Leadership
Jordan Tigani
(CEO & Co-Founder)Previously the CPO at SingleStore. Prior to that, they were a Product Leader, Engineering Leader, and Founding Engineer on Google BigQuery.
Ryan Boyd
(Co-Founder)Currently a Partner at HyperGrowth as well as an Advisor at SparrowLabs. With a background in Coding, Leadership, and Management working at Google, Flux, and Databricks.
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