Site Reliability Engineer

Location: New York City

The ideal candidate comes from a top-tier tech environment (FAANG, elite trading, hyperscale infra). They have experience building technology 0→1, owning systems end-to-end, and working close to the metal. They will operate across everything from bare-metal Linux to modern build and observability stacks
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Join a core engineering group as an Site Reliability Engineer, designing and scaling Linux platforms that underpin ML/AI-driven trading. You will architect and own reliability for massive simulation, HPC, and production workloads—ensuring ultra-reliable, ultra-fast trading systems.

• Deploy SRE practices for Linux platforms powering low-latency, high-throughput trading workloads.
• Architect, optimize, and tune Linux for performance, resilience, and minimal latency.
• Drive incident response, root cause analysis, and continuous reliability improvement across production systems.
• Oversee system automation and reproducibility—build, deploy, and fleet-manage bare-metal Linux and containerized stacks.
• Manage and enhance Kubernetes clusters, network configuration, and large-scale orchestration.
• Set observability standards; expand monitoring, alerting, and performance metrics across platforms.
• Analyze networking, kernel-level performance, and distributed systems—solving core challenges in a multi-petabyte, multi-cluster environment.
• Build Python tools for automation, reliability engineering, and performance analysis.
• Design highly distributed systems

• Ultra-reliable, high-performance trading infrastructure where every engineering optimization affects performance
• Next-generation simulation and HPC compute pipelines, supporting ML/AI workflows at scale.
• Integration and continuous improvement of internal and open-source tools for automation and reliability.
• Strategic platform direction: shaping foundational systems for critical infrastructure in an elite trading environment.

• Small, autonomous Linux SRE team with direct ownership and impact.
• Collaborative engagement with quants, researchers, and trading experts to deliver robust platforms.
• A culture built on deep technical ownership, learning, and high standards of performance engineering

Apply now for an informal confidential chat!