About the role

Systems Engineer developing AI-native infrastructure to enhance financial transaction processing on an open-source platform. Implementing distributed systems and optimizing consensus protocols with a focus on security.

Responsibilities

Implement distributed consensus for replicated state across nodes.
Design deterministic state machines where identical inputs always produce identical outputs.
Build two-phase commit protocols for complex multi-party settlements.
Create type-safe financial primitives that make entire classes of bugs impossible.
Optimize hot paths for microsecond latency with cache-aware data structures.
Architect atomic transaction chains (linked transfers that all succeed or all fail).
Implement checkpoint/rollback semantics for complex financial workflows.
Build idempotency guarantees for exactly-once processing in distributed environments.
Design constraint systems for balance validation that never permits overdrafts or invalid states.
Design storage engines using direct IO and modern kernel interfaces for predictable latency.
Implement zero-copy networking paths to minimize memory bandwidth overhead.
Build async IO subsystems that saturate hardware without blocking consensus.
Optimize for kernel bypass and minimizing syscall overhead on critical paths.
Support multi-cloud deployment with consensus-based failover.
Build observability and audit systems for regulatory compliance.
Create tooling for deterministic replay and debugging of production issues.

Systems programmer at heart. You understand memory layouts, cache lines, and why allocation on the hot path matters.
Distributed systems practitioner. You know the difference between Raft and Paxos, understand why linearizability matters, and have opinions on consensus protocol trade-offs.
Correctness-obsessed. You write code that handles every edge case. You think about invariants, prove properties, and design systems that are correct by construction.
Low-level thinker. You're comfortable reasoning about concurrency without locks, understanding why single-threaded event loops can outperform multithreaded alternatives, and optimizing for predictable latency.
Security mindset: Understanding of secure coding practices and experience with high compliance systems
Ownership mindset: You thrive on autonomy, figure things out proactively, and excel at thoughtful prioritization.
Exceptional communicator: Skilled at translating technical concepts across teams.
AI-native engineer: You naturally integrate AI into your workflow—actively using advanced AI tools.
Nice-to-haves: Fintech experience: Knowledge of financial transaction flows or HFT / T1 core banking. Systems programming language experience: Low-latency systems built using Rust.

Massive impact: Transform how T1 banks handle billions of transactions daily—on a truly open platform.
High-caliber team: Join a small team of exceptional engineers who value both speed and stability.
AI-native workspace: Experience an AI-first environment with LLMs integrated into every tool.