Braintrust is hiring a Web3 Messari - Software Engineer, DeFi Metrics - Direct Hire [Remote]
Compensation: $63k - $75k estimated
Location: CA San Francisco, California, United States
- JOB TYPE: Direct Hire Position (no agencies/C2C - see notes below)
- LOCATION: Remote - Global, work from anywhere
- SALARY: $150,000 – $200,000/yr
- ESTIMATED DURATION: 40hr/week
THE OPPORTUNITY
THIS IS A DIRECT HIRE ROLE, THIS IS NOT A CONTRACTOR ROLE.
Who you are
2+ years experience with modern backend technologies including Golang, Postgres, and AWS
a desire to work on big complex projects with lots of creative freedom
a passion for shipping high-quality products
an interest in the crypto space, and a love for building tools that help users navigate the web3 world
empathetic and love to help your teammates grow.
The Role
Our client is looking for an experienced engineer to build the most comprehensive DeFi metrics platform in web3. As a blockchain focused engineer, your role is to interact with on-chain protocols like Aave and integrate with off-chain APIs like The Graph, to build ingestion and analytical pipelines for on-chain metrics across protocols and across chains.
Their data is both real time and historical, which each present unique challenges in how they store and provide access to their data. Their APIs are written in GraphQL, REST, and gRPC depending on the use case. They like Go for its simplicity and maintainability, and Postgres for features and reliability. They deploy using Kubernetes on Amazon Web Services. That being said, they’re not dogmatic and always believe in using the best tool for the job.
What you'll do
- Help build the most comprehensive DeFi metrics platform used by crypto analysts, investors, as well as degens and yield farmers. They strive to have the best coverage both in terms of breadth (# of chains, # of protocols) as well as depth (Work with product managers, data scientists, and research analysts to create data models for various DeFi protocols. You will need a working understanding of how these protocols work, how various metrics are calculated, and how these data are exposed from underlying smart contracts.
- Build out ingestion pipeline for new data sources including non-EVM chains and 3rd party data vendors, with a focus on scaling (how can they make it easy to scale to 100 protocols).
- Design and implement API endpoints to expose these data (REST, gRPC, GraphQL).
Projects you could work on
- Design and implement a subgraph to expose financial metrics on Convex (e.g. TVL, APY/APR, Fees, Revenue).
- Build out ingestion pipeline for protocols in the Cosmos ecosystem. This includes ingesting on-chain data via Cosmos RPC, parsing and aggregating them in usable formats, as well as backfilling historical data.
- Improve the performance, reliability, and scalability of our ingestion pipeline. For example, how to cut down data retrieval time by 3x.
About Messari.
Messari is the leading provider of crypto market intelligence products that help professionals navigate crypto/Web3 with confidence. We bring transparency and smarter qualitative and quantitative analytics to the industry by combining a global research database with a comprehensive suite of data visualization and asset discovery tools. We help drive smarter participation in crypto from individuals and institutions alike.
The name “Messari” came from the Franciscan monks who declared "clean books" a moral imperative during the renaissance and pushed merchants to use proper accounting methods. This led to the flourishing of investment via "trust but verify" methods and industry growth throughout Europe.That's what we aim to do. Provide participants, investors, builders, platforms, and everyone else with reliable information to better participate in the crypto ecosystem.
Our users range from some of the most prominent analysts, investors, and crypto individuals to top organizations including Coinbase, BitGo, Anchorage, 0x, Chainanalysis, Ledger, Compound, MakerDAO, and many more.
Apply Now!
Apply Now:
This job is closed
Compensation: $63k - $75k estimated
Location: CA San Francisco, California, United States
This job is closed
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