Senior Backend Engineer

Blockaid is redefining trust in blockchain through advanced, integrated security. Our on-chain security platform is trusted by leading Web3 companies—including Coinbase, MetaMask, Uniswap, Backpack, Stellar, and others—to detect, understand, and automatically prevent or minimize the impact of fraud, scams, hacks, and financial threats.

We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts—firms known for supporting the most innovative and influential companies in technology and cybersecurity

As a Backend Engineer, you will design, build, and scale the core backend systems that power our security platform—directly shaping the safety of millions of Web3 users. You’ll work closely with a team of world-class engineers to deliver highly reliable, performant, and secure infrastructure.

Your Chain of Impact:

• Lead feature development end-to-end, from requirements to production.
• Build systems that protect millions of users from fraud, scams, and hacks.
• Contribute across the full software development lifecycle in an agile environment.
• Drive technical innovation by staying ahead of emerging technologies.
• Uphold the highest standards of code quality, scalability, and performance.
• Take true ownership of our product, tech stack, and development processes.
  
  

• 5 years of backend-focused engineering experience, with a proven track record of building and scaling complex systems.
• Success across 2–3 fast-paced startup environments, demonstrating adaptability and impact.
• Strong proficiency in Python for backend development.
• Deep understanding of data systems, including SQL/NoSQL databases and data warehouses.
• Hands-on experience with cloud platforms (AWS/GCP), Kubernetes, and CI/CD pipelines.
• Curiosity and eagerness to learn; background in cybersecurity, blockchain, or data analysis is a strong plus.
• Experience designing and building scalable data pipelines and real-time processing systems.
• Skilled with- ETL/ELT tools (Apache Airflow/dbt/Dagster) and streaming platforms (Kafka/Kinesis/RabbitMQ/..).
• Familiar with real-time analytics frameworks such as Flink, Spark Streaming, or similar.