Staff Engineer AI-Native FinTech

We are building mission-critical infrastructure at the intersection of digital assets, fintech, and AI-native engineering.

This is not a typical senior engineering role.

You will own the core architecture and implementation, set the bar for engineering excellence, and solve the most complex technical challenges in a highly secure, regulated environment.

If you thrive on deep technical problems, ultra-high scale, and hands-on coding, this role is designed for you.

What you will be doing:

• Personally design, code, and optimize high-throughput backend systems running 24/7
• Write production code powering: Trading pipelines / Clearing & settlement systems / Funding infrastructure / Custody workflows
• Ensure systems operate at 100k+ TPS with ultra-low latency
• Debug low-level performance bottlenecks and latency issues
• Optimize memory usage, garbage collection, and concurrency behavior
• Guarantee data consistency across distributed systems
• Define technical specifications for: Microservices architectures / Event-driven systems / API standards
• Produce detailed design documentation that engineering teams build against
• Set the standard for code quality and engineering rigor
• Lead deep technical code reviews
• Establish CI/CD patterns and best practices
• Mentor senior engineers technically (not people management)
• Design for fault tolerance and observability
• Work hands-on with: Kafka-based event pipelines / Kubernetes infrastructure
• Ensure mission-critical uptime and system reliability
• Actively leverage AI tools for engineering acceleration: LLM-assisted coding / Automated test generation / Intelligent debugging workflows
• Help define what future-ready AI engineering looks like

What you will bring:

• 10+ years of software engineering experience
• Strong track record of staying hands-on in production code
• Expert-level proficiency in: Scala/Java/Go
• You should be comfortable discussing: Memory management / Concurrency models / JVM tuning
• Strong understanding of: CAP theorem & consistency models / Event streaming architectures / Cloud-native infrastructure on: AWS / Microsoft Azure / Google Cloud

Environment Experience

• Experience building secure systems in:
• FinTech
• Crypto / Digital Assets
• HealthTech
• Defense or similar regulated sectors

AI Engineering Tools

• Hands-on daily usage of: Copilot / Cursor
• Similar AI-assisted development tools

Nice to have:

• Blockchain integrations or custody/wallet infrastructure experience
• Matching engines, risk engines, or high-frequency trading systems
• Contributions to open-source infrastructure projects