Rust Software Engineer - Scalable Fintech Infrastructure

Kraken; Mexico; On-site; PHP 7,348,438 - 11,022,658; Full time

Job summary

Kraken, the leading crypto exchange, seeks a Software Engineer to design and scale Payward Services. You will build Rust services powering trading, payments, and digital asset experiences, ensuring reliability, security, and low latency.

You will collaborate across teams to deliver high-performance infrastructure, write reusable code, and own end-to-end features in a fast-moving, ambiguity-friendly environment.

Qualifications

• 3+ years of software engineering experience.
• Proficient in writing network services or asynchronous code in Rust.
• Security-first mindset during system design.
• Demonstrate the ability to autonomously debug issues across the stack (OS, network, application).
• Apply a solid understanding of distributed systems and technologies, including RPC protocols, Kafka, and Event-Driven Systems, to design scalable solutions.

Responsibilities

• Design and implement robust Rust services and libraries for trading, payments, and crypto experiences with a focus on reliability, performance, and user impact.
• Write reusable, testable, and highly efficient code that scales across teams and supports revenue-critical systems without compromising safety or security.
• Collaborate on large-scale distributed systems architecture, translating evolving product requirements into resilient, low-latency solutions.
• Work alongside hundreds of experienced Rust engineers, contributing to a high-performance, product-driven engineering culture.

Skills

Rust

Distributed systems

Network services

Debugging across stack

Ownership

Tools

Kafka

RPC protocols

Event-Driven Systems

Job description

Kraken, the leading crypto exchange, seeks a Software Engineer to design and scale Payward Services. You will build Rust services powering trading, payments, and digital asset experiences, ensuring reliability, security, and low latency.

You will collaborate across teams to deliver high-performance infrastructure, write reusable code, and own end-to-end features in a fast-moving, ambiguity-friendly environment.