Principal Engineer, Enterprise Scalability

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Take charge of Klaviyo’s strategy for enterprise scalability, performance, reliability, and readiness across multiple regions.

• Identify and eliminate significant bottlenecks utilizing production data, profiling, and reproducible benchmarks.

• Set measurable objectives for latency, throughput, error rates, and capacity.

• Develop a collective scale-readiness scorecard and ensure alignment among teams regarding service-level objectives, error budgets, and performance standards.

• Design and implement strategies for sharding, partitioning, caching, back-pressure, workload isolation, and multi-region operations.

• Create secure pathways for high-volume data migrations.

• Establish benchmarks, profiling harnesses, and test environments for independent team utilization.

• Conduct scalability reviews and define release gates.

• Facilitate deep dives into technical incidents, identify systemic issues, and provide enduring solutions.

• Utilize AI-assisted profiling, workload modeling, synthetic traffic, anomaly detection, and guided runbooks with safeguards.

• Communicate priorities, trade-offs, and outcomes to both engineers and executives.

• Report directly to the VP of Engineering as a senior individual contributor without direct reports.

⛳️ Requirements

• Over 12 years of relevant engineering experience.

• Extensive experience in scaling multi-tenant SaaS solutions.

• Proven history of eliminating significant bottlenecks and showcasing measurable impacts in production.

• Practical experience in performance engineering, capacity planning, sharding, partitioning, caching, back-pressure, tenant isolation, multi-region architectures, and large-scale migrations.

• Capability to investigate unfamiliar systems, test hypotheses, write production code, and implement changes safely.

• Strong technical judgment to assess architectural trade-offs.

• Ability to unify teams around common goals, clarify responsibilities, and set practical standards.

• Proficient in articulating complex technical decisions and their business implications to both engineering and executive audiences.

• Experience applying AI tools or automation in engineering tasks.

• Ability to assess the utility, limitations, and operational risks of AI.

• Fluency in responsible AI practices, encompassing privacy, security, awareness of bias, and human-in-the-loop methodologies.

🏝️ Benefits

• Annual cash bonus plan may be offered.

• Equity options may be available.

• Sign-on bonuses may be included.

• Comprehensive health, welfare, and wellbeing benefits based on eligibility.

• Up to 10% travel, planned in advance.

• Generous benefits package.

• Accommodations provided as needed.