Description:
• Establish performance, throughput, latency, and capacity baselines for critical platform workflows.
• Define and maintain SLOs, error budgets, performance budgets, dashboards, alerts, and reliability thresholds.
• Instrument and analyze the full request path across services, infrastructure, databases, networking, caches, queues, DNS, and third-party dependencies.
• Identify system bottlenecks and lead cross-functional remediation efforts with engineering teams.
• Build capacity models that show current limits, emerging constraints, and the cost of additional scale.
• Lead load, stress, soak, spike, failure, and recovery testing in representative environments.
• Develop realistic demand scenarios for major customers, partnerships, pilots, and high-volume events.
• Drive architecture hardening, graceful degradation, dependency-failure planning, and resilience improvements.
• Partner with Test Automation and Scalability Engineering on automated performance testing, regression coverage, and production release gates.
• Own technical readiness assessments for major pilots, partnerships, and production launches.
• Create operational runbooks for scale-up events, incidents, rollback, recovery, and dependency failures.
• Lead performance and reliability investigations during incidents and incorporate lessons into future engineering work.
• Communicate infrastructure cost, performance, and reliability tradeoffs to engineering and executive leadership.
• Recommend capacity and reliability investments before they become production constraints.
Requirements:
• Significant experience in Site Reliability Engineering, performance engineering, platform engineering, distributed systems, or a closely related discipline.
• Experience supporting production systems with meaningful scale, traffic, latency, or availability requirements.
• Deep understanding of observability, performance analysis, capacity planning, and reliability engineering.
• Strong hands-on experience with cloud infrastructure and production distributed systems.
• Deep knowledge of databases, networking, caching, queueing, compute, storage, and common distributed-system failure modes.
• Experience defining and operating against SLOs, SLIs, error budgets, and production reliability metrics.
• Hands-on experience performing load, stress, soak, scalability, and resilience testing.
• Ability to profile systems, diagnose bottlenecks, tune architecture, and work directly with engineering teams to implement improvements.
• Experience designing for graceful degradation, dependency failures, recovery, and high-demand scenarios.
• Strong incident management and root-cause analysis experience.
• Ability to translate technical performance and reliability risks into clear business implications for senior leadership.
• Strong judgment around when systems need optimization versus when added complexity is premature.
• Experience operating high-scale SaaS, identity, DNS, registry, infrastructure, or other highly distributed platforms (preferred).
• Experience creating capacity-cost models and forecasting infrastructure requirements (preferred).
• Experience building performance and reliability gates into CI/CD pipelines (preferred).
• Experience preparing platforms for major traffic increases from enterprise customers or strategic partnerships (preferred).
• Experience leading reliability or performance initiatives across multiple engineering teams (preferred).
• Applicants must be authorized to work for any employer in the U.S.; no visa sponsorship is available.
Benefits:
• Remote work opportunity (#LI-Remote).
• Contract employment type.
• Equal Opportunity Employer commitment.
• Inclusive workplace across all backgrounds and experiences.