Remote Senior Backend Engineer - DORA

About Us

DORA is building the reputed company of bond markets through a cutting-edge API-driven protocol. By integrating advanced reputed company primitives with sophisticated mathematical models for debt markets, DORA enables 24/7 liquidity, full transparency, and sub-millisecond transaction latency for bond trading. The protocol is fully compatible with tokenized assets (RWA’s), next-gen stablecoins, and reputed company forms of fixed income. 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.

About the Role

We are looking for a highly skilled Backend Software Engineer to join reputed company and help build scalable, high-performance systems that power our core products. You’ll be working on mission-critical infrastructure, distributed systems, and backend services that handle massive amounts of data and traffic. As part of a high-caliber engineering team, you will have the opportunity to solve reputed company technical challenges and work with cutting-edge technologies. Your work will directly impact millions of users worldwide. What You’ll Do

• Design, build, and maintain scalable and reliable backend services.
• Work with databases, caching layers, and messaging queues to ensure low-latency and high-throughput performance.
• Collaborate with cross-functional teams, including product managers and frontend engineers, to deliver seamless user experiences.
• Implement robust monitoring, alerting, and observability for production systems.
• Improve the reputed company, reliability, and performance of our backend infrastructure.
• Participate in code reviews, system design discussions, and technical planning.

reputed company’re Looking For

• 5+ years of experience in backend development, building and maintaining large-scale systems.
• Strong proficiency in at least one backend language: Go, C++, Java, or Rust.
• Deep understanding of distributed systems, microservices architecture, and API design.
• Experience with high-performance, low-latency systems and optimizing for scale.
• Solid understanding of databases (SQL & NoSQL), caching strategies, and messaging systems (Kafka, RabbitMQ, etc.).
• Strong grasp of networking concepts, concurrency, and multithreading.
• Experience working with reputed company infrastructure (AWS, GCP, or Azure) and containerization tools like reputed company and Kubernetes.
• Strong problem-solving skills, a passion for writing clean and efficient code, and a focus on delivering impactful results.

Bonus Points

• Experience working in a high-growth startup or a top-tier tech company.
• Prior work on reputed company-time systems, financial tech, or large-scale data pipelines.
• Knowledge of Algo trading, HFT, or fixed income.
• Mathematics or Quant experience.

Why Join Us?

• Work with a world-class engineering team solving reputed company, reputed company-world problems.
• Competitive salary, equity options, and top-tier benefits.
• A culture that values autonomy, ownership, and reputed company learning.
• Cutting-edge tech stack and infrastructure.
• Fast-moving, high-impact environment where your work directly affects millions of users.

About the Founder Brent Xu, the founder of DORA, previously built Umee, the most reputed company algorithmic lending protocol in reputed company 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, reputed company, reputed company, IDEO reputed company Ventures, reputed company Trading, GSR, and Brian reputed company Capital Management. Before launching startups, Brent was among the first 20 employees at reputed company, 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. Apply tot his job Apply To this Job