aidistributed systemscapacity planningshardingcachingperformance engineeringpartitioningmulti region architecture
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше среднего
$244к-366к/год
$190к$210кмедиана$260к
По похожим ролям (49) ~ $210к/год
На СНГ рынке: $4.7к/мес ($3.8к - $7.2к)
90
Крутая вакансия
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Чётко очерченная практическая роль в продуктовой компании даёт широкое влияние на надёжность платформы и измеримые инженерные результаты.
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Выше рынкаПонятная зона ответственностиБольшое влияниеСовременная архитектура
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Engineer, Enterprise Scalability (SaaS): Defining and delivering enterprise scalability, performance, reliability, and multi-region readiness for a high-volume customer platform with an accent on distributed systems, production bottleneck removal, and architectural change. Focus on designing sharding, partitioning, caching, workload isolation, and migration strategies, while applying AI-assisted profiling and incident-response tooling.
Location: Boston, MA, US; up to 10% travel may be required for onboarding, client or partner work, team meetings, and industry events.
Base salary for US locations: $244,000–$366,000 USD annually, plus potential bonus, equity, sign-on payments, and eligible benefits.
Company
hirify.global develops a first-party data platform that helps businesses build stronger customer relationships and supports personalized experiences in ecommerce and beyond.
What you will do
Define measurable scale-readiness targets for latency, throughput, error rates, capacity, service-level objectives, and error budgets.
Identify and remove major production bottlenecks using profiling, production data, benchmarks, and representative workloads.
Design and implement sharding, partitioning, caching, back-pressure, tenant isolation, multi-region readiness, and high-volume migration strategies.
Create reusable benchmarks, profiling harnesses, test environments, scalability reviews, and release gates.
Lead technical incident deep dives, deliver systemic fixes, and improve reliability and recurring incident rates.
Apply AI-assisted profiling, workload modeling, synthetic traffic, anomaly detection, and guided runbooks with appropriate guardrails.
Requirements
12+ years of relevant engineering experience with measurable production impact from removing significant bottlenecks.
Hands-on experience with multi-tenant SaaS, performance engineering, capacity planning, sharding, partitioning, caching, back-pressure, tenant isolation, multi-region architectures, and large-scale migrations.
Ability to investigate unfamiliar systems, test hypotheses, write production code, and roll out changes safely with service owners.
Strong technical judgment and the ability to evaluate architectural tradeoffs using evidence.
Ability to align teams across organizational boundaries, clarify ownership, and establish practical engineering standards.
Clear communication of complex technical decisions and business implications to engineering and executive audiences.
Practical experience applying AI tools or automation to engineering work, including evaluation of usefulness, limitations, and operational risks.
Senior individual contributor role reporting to a VP of Engineering, with no direct reports.
Culture & Benefits
Cross-team collaboration focused on customer experience, enterprise growth, platform reliability, and operating efficiency.
Annual cash bonus plan, equity, potential sign-on payments, and comprehensive health, welfare, and wellbeing benefits based on eligibility.
AI use is expected to be responsible, including attention to privacy, security, bias awareness, and human-in-the-loop controls.
Equal opportunity workplace with accommodations available as needed.
Hiring process
hirify.global uses Covey in its hiring and promotional processes and may provide job requirements and submitted applications to Covey.
Participation in the interview process requires acknowledging hirify.global's guidelines for using AI during interviews.
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