Senior Backend Engineer (New York)
Storm2, New York, NY, United States
Senior Backend Engineer (Data Systems)
New York City (In-Office) | Full-Time | $200k–$300k Base + Bonus
About the Company
We’re partnered with a high-performing, crypto-native trading and technology firm operating at the intersection of quantitative trading, market-making, and DeFi infrastructure. The team is founder-led, highly technical, and executes significant trading volume across both centralized and decentralized markets.
Engineering sits at the core of the business - data quality and system reliability directly impact trading performance and risk decisions. The team is lean, fast-moving, and focused on solving complex, real-world problems across distributed systems and financial infrastructure.
The Role
This is a high-impact backend engineering role focused on building a unified data ingestion platform that powers trading, risk, and analytics systems.
You’ll design and own systems that ingest, normalize, and serve both real-time and historical data across blockchain networks and centralized exchanges. This is a systems-first role with a strong emphasis on performance, reliability, and scalability.
What You’ll Be Doing
Design and build a unified data ingestion platform across on-chain and off-chain sources
Develop real-time streaming pipelines and historical backfill systems
Integrate with blockchain networks (EVM/SVM) and centralized exchange APIs
Build scalable data storage solutions (data warehouse / time-series systems)
Ensure system reliability, observability, and data integrity across pipelines
Work cross-functionally with trading, quant, and operations teams
What They’re Looking For
Strong backend engineering experience, ideally with
Rust
or other systems-level languages
Experience building
high-throughput, low-latency data pipelines
Familiarity with
event-driven architectures, streaming vs polling systems
Experience with databases like
PostgreSQL or ClickHouse
(time-series a plus)
Exposure to
financial systems, trading environments, or real-time data systems
Ability to design for
failure modes, rate limits, and external dependencies
Nice to Have
Experience working with blockchain data (EVM, Solana, etc.)
Familiarity with exchange APIs or trading systems
Background in crypto, fintech, or data-intensive environments
Experience building data warehouse or lake architectures
Why This Role
Direct impact on systems that drive trading and revenue
Work on genuinely complex engineering challenges (real-time + historical data at scale)
Small, high-caliber team with strong ownership and autonomy
Competitive compensation + strong benefits
New York City (In-Office) | Full-Time | $200k–$300k Base + Bonus
About the Company
We’re partnered with a high-performing, crypto-native trading and technology firm operating at the intersection of quantitative trading, market-making, and DeFi infrastructure. The team is founder-led, highly technical, and executes significant trading volume across both centralized and decentralized markets.
Engineering sits at the core of the business - data quality and system reliability directly impact trading performance and risk decisions. The team is lean, fast-moving, and focused on solving complex, real-world problems across distributed systems and financial infrastructure.
The Role
This is a high-impact backend engineering role focused on building a unified data ingestion platform that powers trading, risk, and analytics systems.
You’ll design and own systems that ingest, normalize, and serve both real-time and historical data across blockchain networks and centralized exchanges. This is a systems-first role with a strong emphasis on performance, reliability, and scalability.
What You’ll Be Doing
Design and build a unified data ingestion platform across on-chain and off-chain sources
Develop real-time streaming pipelines and historical backfill systems
Integrate with blockchain networks (EVM/SVM) and centralized exchange APIs
Build scalable data storage solutions (data warehouse / time-series systems)
Ensure system reliability, observability, and data integrity across pipelines
Work cross-functionally with trading, quant, and operations teams
What They’re Looking For
Strong backend engineering experience, ideally with
Rust
or other systems-level languages
Experience building
high-throughput, low-latency data pipelines
Familiarity with
event-driven architectures, streaming vs polling systems
Experience with databases like
PostgreSQL or ClickHouse
(time-series a plus)
Exposure to
financial systems, trading environments, or real-time data systems
Ability to design for
failure modes, rate limits, and external dependencies
Nice to Have
Experience working with blockchain data (EVM, Solana, etc.)
Familiarity with exchange APIs or trading systems
Background in crypto, fintech, or data-intensive environments
Experience building data warehouse or lake architectures
Why This Role
Direct impact on systems that drive trading and revenue
Work on genuinely complex engineering challenges (real-time + historical data at scale)
Small, high-caliber team with strong ownership and autonomy
Competitive compensation + strong benefits