Found.dev
Role Highlights
Languages used
GO
Key skills
Machine Learning
Generative AI
Data Infrastructure
Distributed Systems
Data Protection
GDPR
Streaming Data
Blockchain
Startup
Reliability
Security
Ethereum
Testing
Backend
Tools, Libraries and Frameworks
IOS
Flow
Kafka
Flink
Docker
PostGres
MongoDB
DynamoDB
HTTP
Ruby On Rails
Description
The role involves building and scaling real-time invariant enforcement across fund flows. The individual will contribute to the core platform, including the detection engine, invariant framework, and tooling used by partner teams. Responsibilities include owning workstreams end-to-end, from designing correctness models to operating them in production. The position also entails building AI guardrails to flag deviations and discover coverage gaps. Additionally, the role requires mentoring junior engineers and leading technical execution on high-impact projects.
Required Qualifications and Skills
The role requires at least five years of software development experience working with large-scale distributed systems. Candidates must demonstrate a strong sense of correctness and the ability to build platform-level infrastructure. Proficiency in using generative AI tools and copilots with a human-in-the-loop approach is necessary. Strong ownership of technical problems is also required.
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Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Coinbase
Size
4530
HQ
Remote First, US
Public/Private
Public CompanyDescription
At Coinbase, the mission is to increase economic freedom around the world, a goal pursued by hiring top talent to focus on the future of finance and Web3. The company stands out for its culture of trust, feedback, and self-disruption, seeking employees committed to a mission-focused approach and eager to live and learn crypto. Coinbase positions itself at the forefront of data science and business intelligence innovation, playing a pivotal role in transforming how data is discovered, consumed, and utilized in analytics, thereby laying the groundwork for the future of analytics.
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