Staff Software Engineer - API / Platform

Elevate; Toronto; Hybrid; CAD 170,000 - 240,000; Full time

Job summary

A cutting-edge financial technology firm is seeking a Staff Software Engineer to design and develop low-latency services. The ideal candidate has 5 years of experience using Rust or C, knowledge of Kubernetes, and a strong understanding of performance optimization in real-time systems. This role offers a collaborative environment focused on innovation in capital markets technology.

Qualifications

• 5 years building latency-sensitive systems using Rust or C.
• Production experience with Rust and asynchronous runtimes.
• Deep understanding of memory management and CPU optimization.

Responsibilities

• Design and develop highly available horizontally scalable low-latency services.
• Build and maintain robust APIs (REST, WebSockets).
• Lead performance engineering efforts.

Skills

Rust

C

TCP/IP

UDP

Kubernetes

Kafka

Tools

PostgreSQL

gRPC

Aeron

Job description

Position: Staff Software Engineer - API / Platform

Placement Type: Direct Placement

Work Type: On-site / Remote / Hybrid

Location: Toronto ON

Salary: $170000 - $240000

The Company

Our client is a cutting-edge financial technology firm modernizing the infrastructure that powers capital markets. Since 2018 theyve been building a fully cloud-native clearing and custody platform designed to support billions in daily trading volume. Their engineering-first culture combines deep capital markets experience with modern scalable architecturecreating seamless high-performance systems for todays complex trading environments.

The Team

The Active Trading team is responsible for delivering best-execution across asset classes and regions. Theyre building a new cloud-based trading platform from the ground upproviding high-performance traders with access to global liquidity advanced charting and dynamic order-handling capabilities. This platform is designed to meet the demands of both active traders and institutional users.

The Role

Design and develop highly available horizontally scalable low-latency services.

Tackle complex engineering challenges in real-time systems.

Collaborate with stakeholders to define build and launch critical features.

Deepen your expertise in high-performance trading and capital markets workflows.

Responsibilities

• Build and maintain robust APIs (REST WebSockets) for real-time interaction.
• Lead performance engineering efforts : Criterion benchmarks flamegraphs chaos testing etc.
• Optimize message routing protocols and transport layers for scale.
• Promote a performance-focused engineering culture (perf tools eBPF latency dashboards).
• Ensure systems perform optimally in both cloud and on-prem environments.

Required Experience

• 5 years building latency-sensitive systems using Rust C or C .
• Production experience with Rust and asynchronous runtimes.
• Deep understanding of thread-per-core vs. work-stealing models memory management and CPU optimization.
• Proven success profiling and tuning compute memory and I / O paths.
• Hands-on experience with TCP / IP and UDP (unicast / multicast).
• Comfortable operating in Kubernetes cloud and hybrid infrastructure.
• Data-driven mindset with a strong focus on p50 / p95 / p99 latency.
• Familiarity with relational databases.
• Kafka experience is required.

Preferred Experience

• Performance tuning in large-scale Kubernetes environments.
• Prior exposure to capital markets systems (EMS OMS exchanges).
• Experience with DPDK RDMA iouring or eBPF in production environments.
• Knowledge of columnar databases or storage optimization.

Tech Stack

Rust gRPC PostgreSQL Kafka Aeron Kubernetes

How to Apply

Reach out to or through our job link.

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