Performance Systems Engineer – Network

Performance Systems Engineer – Network & Kernel Optimization (Low-Latency Infrastructure) Whistler Trading About Whistler Trading Whistler Trading was founded in 2022 with the ambition to build a new leader in systematic trading, and we're well on our way. We've invested heavily in research and infrastructure, developing lean, high‑performance systems that let us go from idea to production faster than ever. Most importantly, we've built a team with incredible talent density. Our team includes alumni of top firms like Citadel and SIG, medalists from math and informatics olympiads, and individuals with deep domain expertise in trading, distributed systems, and real‑time infrastructure. We value drive, rigor, and originality, and we back people who want to build something lasting. The Role We're looking for a Performance Systems Engineer to optimize our low‑latency network infrastructure. You’ll work at the kernel level to reduce latency in our market data capture and execution systems, focusing on squeezing maximum performance out of AWS instances and custom network stacks. This is a specialized Individual Contributor role for someone who loves working close to the metal. You'll be profiling network paths, implementing kernel bypass techniques, and finding microseconds wherever they hide. The work spans eBPF, io_uring, DPDK, and custom optimizations for our cloud infrastructure. If you've spent time optimizing production network systems and know your way around kernel code, network drivers, and performance profiling tools, this could be a great fit. What You’ll Do Optimize network performance: Profile and improve our market data capture pipeline from NIC to application layer. Find and eliminate latency bottlenecks in our AWS‑based infrastructure. Implement kernel‑level optimizations: Build and tune systems using eBPF, io_uring, DPDK, and other kernel bypass techniques. Work with network drivers and kernel modules to reduce packet processing overhead. Cloud infrastructure optimization: Figure out how to get the best possible network performance from AWS EC2 instances. Understand ENA drivers, placement groups, instance types, and how to configure systems for minimal latency. Work across the stack: Most of your work will be in C (where drivers and kernel interfaces live), but you’ll integrate with our Rust codebase for application‑level components. Comfort moving between languages is important. Measure and validate: Use profiling tools (perf, bpftrace, etc.) to identify bottlenecks and validate improvements. Design experiments to isolate performance factors and interpret results statistically. Collaborate with engineers: Work with our trading infrastructure team to understand performance requirements and implement solutions. Clear communication about tradeoffs and constraints matters. Build production‑quality systems: Your work will inform and improve production systems handling live market data. Code quality, testing, and reliability are important. Skills and Qualifications Systems programming experience: Strong C programming skills and experience working with Linux kernel interfaces, network drivers, and low‑level systems code. Rust familiarity: Willingness to work in Rust for application‑level integration. Not required to be an expert. Network optimization background: Real experience optimizing network performance in production systems. Understanding of packet processing, kernel networking, and latency sources. Kernel and low‑level tools: Hands‑on experience with eBPF, io_uring, epoll, or similar technologies. Comfort reading kernel code and working with driver interfaces. Performance profiling: Strong skills with Linux performance tools (perf, flamegraphs, bpftrace, etc.). Cloud infrastructure: Experience optimizing network performance on AWS or similar cloud platforms. Understanding of instance types, network drivers (ENA), and cloud‑specific performance characteristics. Professional development practices: Experience with code reviews, version control (Git), CI/CD, and collaborative development. Problem‑solving and statistical thinking: Ability to dig into complex performance problems, form hypotheses, and test solutions systematically. Communication: Clear technical communication. Education: Bachelor’s degree in Computer Science, Engineering, or related field. Nice to Have Experience in trading, finance, or other low‑latency domains Familiarity with DPDK or other kernel bypass technologies Understanding of network protocols and packet processing Background with hardware performance counters and micro‑architectural optimization Why Join Whistler Deep technical work: Hands‑on systems work at the kernel level. Real performance constraints: Latency matters; your optimizations have direct measurable impact on trading performance. Work with strong engineers: Collaborate with engineers who built production trading systems at top firms. Merit over hierarchy: Lean, collaborative organization where the best ideas win. Ownership and trust: Own this area of our infrastructure. Growth opportunity: Top performers grow with us. Compensation and Benefits Base Salary: CAD $125,000 – $175,000 depending on experience and performance. Engineers are eligible for performance‑based bonuses. Benefits: Comprehensive health insurance, retirement plans, and other benefits. We provide high‑performance hardware and whatever tools you need. Hiring Process Initial screening: Conversation about your background and experience optimizing network systems (30‑45 minutes). Technical discussion: Deep dive into your experience with low‑latency optimization, kernel work, and specific projects. Assessment of statistical thinking and decision making with performance data. Technical exercise: Practical problem related to network optimization or performance profiling. Team interview: Meet with engineers you’ll work with. Offer: If it's a mutual fit, prompt offer. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Information Technology Industries Construction Software Development IT Services and IT Consulting #J-18808-Ljbffr