- Страна
- США
- Зарплата
- 244 000 $ – 366 000 $
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Principal Software Engineer, Enterprise Scalability
Высокая оценка обусловлена престижностью компании, очень конкурентной заработной платой и возможностью работать над сложнейшими архитектурными задачами на уровне всей платформы. Роль предполагает значительное влияние на технологический стек и использование инноваций в области AI.
Сложность вакансии
Роль требует исключительного технического опыта (более 12 лет) в масштабировании SaaS и глубоких знаний в области Performance Engineering. Высокая сложность обусловлена необходимостью влиять на архитектуру всей компании без прямого подчинения сотрудников.
Анализ зарплаты
Предлагаемый диапазон $244k – $366k полностью соответствует и даже несколько превышает рыночные стандарты для позиции Principal Engineer в Бостоне и других крупных технологических хабах США. Верхняя граница диапазона характерна для топовых технологических компаний (Tier-1).
Сопроводительное письмо
I am writing to express my strong interest in the Principal Software Engineer, Enterprise Scalability position at Klaviyo. With over 12 years of experience in scaling multi-tenant SaaS platforms and a deep focus on performance engineering, I have a proven track record of identifying and eliminating systemic bottlenecks in high-load environments. My expertise in sharding, partitioning, and implementing robust caching strategies aligns perfectly with Klaviyo's mission to empower creators through accessible first-party data.
What particularly excites me about this role is the integration of AI into scalability and resiliency workflows. I have extensive experience in using AI-driven tools for proactive anomaly detection and synthetic load generation, ensuring that performance improvements are sustainable and incidents are minimized. I am confident that my technical depth and ability to align cross-functional teams through fitness functions and SLOs will allow me to make a significant impact on Klaviyo's enterprise readiness and overall platform stability.
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Описание вакансии
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) 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. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
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.
What You’ll Do
- 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.
Who You Are
- 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.
Nice to Haves
- Scale scorecard: Company‑wide fitness functions (latency/throughput/error rates) are adopted and reviewed regularly.
- High‑impact wins: 2–3 bottlenecks removed with documented, reproducible testbeds; pXX latencies and error rates improve on top enterprise workloads; repeat P0s trend down.
- AI‑assisted scale engineering: AI‑driven anomaly detection reduces alert noise while improving signal; generative load testing and copilot runbooks are used in release/readiness checks for the top critical services; time‑to‑isolate regressions drops 20–30%.
Success in 6–12 Months
- Company‑wide scale scorecard in place; 2–3 high‑impact bottlenecks removed; top enterprise workloads show improved pXX latencies and error rates; fewer repeat P0s.
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Massachusetts Applicants:It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
Base Pay Range For US Locations:
$244,000—$366,000 USD
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.
By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.You can find our Job Applicant Privacy Noticehere and here (FR).
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Навыки
- SaaS
- Performance Engineering
- Capacity Planning
- Sharding
- Partitioning
- Caching
- Multi-region
- AI
- Observability
- SLO
Возможные вопросы на собеседовании
Проверка опыта работы с высоконагруженными системами и понимания архитектурных компромиссов.
Расскажите о самом сложном случае устранения узкого места в производительности (bottleneck) в многопользовательской SaaS-системе. Каков был бизнес-эффект?
Оценка навыков проектирования масштабируемых хранилищ данных.
Какие стратегии шардирования и партиционирования вы бы предложили для системы, обрабатывающей петабайты данных о поведении пользователей в реальном времени?
Проверка способности внедрять современные AI-инструменты в процессы эксплуатации.
Как именно вы планируете интегрировать AI в процессы обнаружения аномалий и генерации синтетической нагрузки для проверки готовности системы?
Оценка лидерских качеств и умения договариваться (Cross-org influence).
Как вы будете убеждать продуктовые команды приоритизировать задачи по масштабируемости и соблюдению SLO, если это замедляет выпуск новых фич?
Проверка системного мышления и работы с инцидентами.
Опишите ваш подход к проведению глубокого анализа инцидентов (deep dive) и как вы гарантируете, что системные исправления предотвратят повторение проблемы?
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- Страна
- США
- Зарплата
- 244 000 $ – 366 000 $