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# Principal Software Engineer, Enterprise Scalability

- **Company:** Klaviyo
- **Location:** Boston, MA, United States
- **Salary:** $244,000.0 - $366,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Software as a Service, Shard (Database Architecture), Runbook
- **Published:** June 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3669961565ae7544

## About the Role

Do you have experience in Testing and evaluation?, * Experience: 12+ years scaling multi-tenant SaaS with a reputation for removing major bottlenecks and proving impact with data.

 * Technical expertise: Performance engineering, capacity planning, sharding/partitioning, caching/back-pressure, multi-region readiness, and high-volume migrations; you turn hotspots into robust patterns.
 * AI tools & automation: You apply AI to scale work-profiling assistance, workload modeling, synthetic traffic generation, anomaly detection, and runbook copilots-always with explicit guardrails and observability.
 * Cross-org influence: You align teams through fitness functions, scorecards, and readiness gates that accelerate-not block-delivery; you communicate tradeoffs crisply to execs and engineers.
 * AI fluency: Curious, adaptable, and proactive in exploring AI that responsibly improves scale outcomes.

## Description

Be Klaviyo's senior IC for scale, you will report into a VP of Engineering and lead performance, reliability, multi-region, and large-tenant readiness. You'll drive platform-wide architectural change, hunt bottlenecks and optimize systems, and partner across teams to productionize improvements. Given that this is an IC role with no direct reports; you will lead via technical depth, hands-on impact, and crisp cross-org alignment., * Define enterprise scalability fitness functions (latency/throughput/error rates) and a scorecard; align teams to SLOs and budgets.

 * Design/implement sharding and partitioning strategies, caching/back-pressure, multi-region readiness, and high-volume migration paths.
 * Build lightweight enablement: benchmarks, profiling harnesses, reproducible testbeds; pair with teams to land fixes.
 * Lead scalability reviews and readiness gates that accelerate-not block-delivery; drive incident deep dives tied to systemic fixes.
 * Communicate clearly to execs and engineers, tying technical work to business impact and customer outcomes.
 * Integrate AI into scale and resiliency work-from proactive anomaly detection to synthetic load and guided runbooks-so performance improvements stick and incidents don't repeat.


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