Lead Site Reliability Engineer, Electronic Colo Trading

Job responsibilities

• Own the build, configuration, and lifecycle management of Linux server fleets supporting colo trading workloads, including provisioning, patching, hardening, and performance tuning.
• Engineer and maintain automation for OS deployment, configuration management, and continuous compliance, with a bias toward reducing manual touch and improving repeatability.
• Partner with network, trading technology, and data center teams to optimize latency, throughput, and stability, including kernel, IRQ, CPU isolation, NUMA, and NIC tuning where appropriate.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
• Operate and improve observability across the stack, including metrics, logs, and alerting, and translate signals into actionable runbooks and service-level improvements.
• Lead incident response for Linux/compute-related events, including rapid triage, mitigation, root-cause analysis, and corrective/preventative actions; drive measurable reduction in recurring incidents.
• Manage hardware-adjacent responsibilities typical of colo environments, including server break/fix coordination, remote hands engagement, firmware alignment, and standardized rack-level practices.
• Implement and maintain secure access patterns, secrets handling, and least-privilege controls aligned to enterprise security and audit expectations.
• Contribute to capacity planning and reliability engineering, including failure-mode thinking, maintenance windows, upgrade strategies, and resiliency testing.
• Produce clear operational documentation, including build standards, runbooks, incident reports, and environment-specific procedures for colo constraints.
• Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.

Required qualifications, capabilities, and skills

• Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines
• Formal training or certification on site reliability engineering concepts and 5+ years applied experience
• Professional experience administering Linux in production (e.g., RHEL-derived, Debian/Ubuntu) in a mission-critical environment.
• Strong operational competency in troubleshooting performance and reliability issues across OS, hardware, and basic networking layers.
• Strong expertise in Linux internals, performance tuning, and troubleshooting using enterprise-standard diagnostic tools, with the ability to identify and resolve complex reliability and latency issues in production environments.
• Proficiency in infrastructure automation using Bash and Python or Go, with hands-on experience in configuration management, CI/CD practices, monitoring, observability, and root-cause analysis to drive operational excellence and service reliability.
• Demonstrated experience automating system administration tasks using scripting and/or configuration management.
• Hands-on incident management experience, including participation in on-call rotations and executing structured post-incident reviews.
• Ability to communicate clearly with both engineering and non-engineering stakeholders, including translating technical issues into business impact.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.
• Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.

• Experience supporting electronic trading, market connectivity platforms, or similarly latency-sensitive, high-availability environments.
• Exposure to colocation data centers, including working with remote hands, controlled maintenance windows, and strict change discipline.
• Experience with performance tuning for low-latency Linux environments (e.g., kernel/CPU pinning strategies, interrupt tuning, time sync discipline).
• Familiarity with infrastructure-as-code patterns and building standardized “golden” server builds.
• Experience operating at scale, including fleet management practices, automation-driven patching, and configuration drift control.