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Remote Senior Backend Engineer - Trading & Exchange Systems - DORA
- New York, New York, United States
- New York, New York, United States
Über
Our partners include HFT quant firms, Algo traders, macro funds, institutional trading desks, and global asset managers. DORA is backed by some of the largest digital asset firms, Wall Street banks, and hedge funds.
Join Our Elite Team of Engineers Powering the Future of Trading Are you an engineer who thrives in high-performance, low-latency environments? Do you have experience building and optimizing trading systems for top-tier exchanges, market makers, or hedge funds? If so, we want you on our team.
Why Join Us?
Work with the Best: Collaborate with engineers from Citadel, Jane Street, Coinbase, Robinhood, eToro, and more who understand market structure inside and out.
Cutting-Edge Tech Stack: Build and optimize high-performance backend systems with Go, Rust, C++, and Python.
Low-Latency, High-Performance: Our infrastructure needs to handle millions of transactions per second, so we hire engineers who think in nanoseconds, not milliseconds.
Ownership & Impact: Small, elite teams mean your work has real impact on market execution, order routing, risk management, and PnL.
Competitive Compensation: Top-tier salaries, equity, and performance-based bonuses.
What You’ll Do
Design and develop
high-performance exchange and trading systems
(order matching, order routing, execution engines, risk management).
Optimize system performance for
ultra-low-latency trading
environments.
Implement
scalable, distributed architectures
to handle large volumes of transactions.
Work with quant teams to integrate
algorithmic and high-frequency trading strategies
into the system.
Ensure
reliability, fault tolerance, and security
of all trading operations.
Collaborate with trading, compliance, and infrastructure teams to ensure a seamless trading experience.
What We’re Looking For
5+ years of backend engineering experience , ideally in trading, exchanges, or market-making environments.
Strong proficiency in
C++, Rust, Go, or Python
for high-performance applications.
Deep understanding of
market microstructure, order book dynamics, FIX/WebSocket APIs .
Experience optimizing
low-latency, high-throughput systems
in equities, commodities, FX or crypto.
Familiarity with
distributed systems, Kubernetes, Kafka, Redis, and cloud infrastructure (AWS, GCP, or on-premises trading systems) .
Bonus: Experience with
quantitative trading, HFT strategies, or algorithmic execution .
Who This Role is For
Engineers with experience working at leading exchanges (Coinbase, Robinhood, eToro, Binance, Charles Schwab, Interactive Brokers).
Market-making and trading engineers from firms like Citadel Securities, Jane Street, Jump Trading, Two Sigma, Renaissance.
Engineers from boutique or international exchanges (Malta, Cyprus, Dubai, Hong Kong) who understand global trading infrastructure.
Perks & Benefits
Top-tier salary & performance bonuses – we pay for the best talent
Equity incentives – build your stake in the future of trading
Flexible remote options – work from anywhere or join us in NYC
World-class engineering culture – autonomy, impact, and fast iteration.
Ready to Build the Future of Trading? If you’re an engineer obsessed with
high-performance, low-latency systems
and want to work at the bleeding edge of financial technology, apply today. Let’s redefine what’s possible in modern trading.
About the Founder Brent Xu, the founder of DORA, previously built Umee, the most modular algorithmic lending protocol in Web3 that has generated $250M+ in lifetime loans as well as over $1Bn USD in cross chain transactions. Over his startup journey, he has raised $42M+ in venture funding from top investors, including Polychain, Coinbase, ConsenSys, IDEO CoLab Ventures, Jump Trading, GSR, and Brian Kelly Capital Management.
Before launching startups, Brent was among the first 20 employees at ConsenSys, where he played a key role in Ethereum’s early development. Prior to blockchain, he was a bond trader specializing in high-yield credit, distressed debt, and mortgage-backed securities, trading $50-$100 Bn in notional value annually on Wall Street.
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Sprachkenntnisse
- English
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