Senior Backend Software Engineer (Web3, DeFi)

We are looking for a Senior Backend Software Engineer to join a fast-growing, well-funded technology startup operating at the intersection of Web3, cybersecurity, and artificial intelligence.

Our client is building a real-time security platform that helps protect digital assets by identifying and preventing threats before they occur. The platform processes massive volumes of blockchain and security-related data in real time, leveraging advanced analytics, AI, and large-scale distributed systems.

This is an opportunity to join a high-impact engineering team working on technically challenging problems in one of the fastest-growing sectors of the technology industry.

As a Senior Backend Software Engineer, you will be part of a team responsible for transforming blockchain data into actionable security insights. You will design, build, and scale backend services that process large volumes of real-time events, power detection engines, and help customers identify threats before financial damage occurs.

Requirements

• 5+ years of software engineering experience
• Strong experience with Python and/or Java
• Proven hands-on experience with Web3, blockchain infrastructure, DeFi protocols, or crypto products
• Deep understanding of blockchain concepts, transactions, smart contracts, wallets, and on-chain data
• Experience designing and building backend services in production environments
• Experience working with cloud platforms (AWS preferred)
• Experience with SQL databases (PostgreSQL is a strong advantage)
• Experience working with distributed systems, event-driven architectures, or large-scale data processing
• Familiarity with CI/CD methodologies and related tools
• Strong understanding of software engineering best practices, testing, and code quality
• Experience with Git workflows
• Excellent communication skills and ability to thrive in a collaborative environment

Nice to Have

• Experience with blockchain indexing, transaction monitoring, or blockchain analytics platforms
• Experience with cybersecurity, fraud detection, risk analysis, monitoring, or threat intelligence products
• Experience processing real-time streams of data or high-volume event pipelines
• Experience working in startups and fast-paced product environments
• Experience using AI-powered development tools to improve productivity and software quality