Rocket
United States
Senior Data Engineer
- AI
- AWS
- Big Data
- Cloud
AI Summary
Lead enterprise scalability, performance, reliability, and multi-region readiness across Klaviyo’s platform as a senior individual contributor with no direct reports. Own architectural improvements by using production data and profiling to identify bottlenecks, drive systematic changes, and establish reusable patterns. Bring 12+ years of engineering experience with deep expertise in distributed systems, capacity planning, and sharding/partitioning strategies.
Key Highlights
Senior individual contributor role reporting to VP of Engineering with no direct reports
12+ years of engineering experience with a track record of removing bottlenecks and delivering measurable production impact
Hands-on experience with performance engineering, distributed systems, sharding, caching, back-pressure, and multi-region architectures
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Key Responsibilities
Define scale readiness metrics including latency, throughput, error rates, and capacity targets
Remove bottlenecks using production data, profiling, and reproducible benchmarks
Design and implement sharding, partitioning, caching, back-pressure, and workload isolation strategies
Create lightweight benchmarks, profiling harnesses, and reusable engineering patterns
Lead scalability reviews and establish proportionate release gates
Conduct technical deep dives on incidents and deliver systemic fixes
Apply AI-assisted profiling, workload modeling, and anomaly detection
Communicate engineering priorities and tradeoffs to both engineers and executives
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Technical Skills Required
Job Description
About Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying.
At Klaviyo, we help businesses build stronger relationships with their customers. As our customers grow, our platform needs to support greater data volumes, more demanding workloads, and increasingly complex operations—with the performance and reliability they depend on.
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