Principal Engineer, Enterprise Scalability (Remote - East Coast Only)
Контакты
244 000 - 366 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
aidistributed systemsscalabilityreliabilityshardingcachingperformance engineeringmulti tenant saasmulti 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$220кмедиана$250к
По похожим ролям (48) ~ $220к/год
На СНГ рынке: $4.2к/мес ($3.3к - $4.8к)
91
Крутая вакансия
развернуть
Чётко очерченная роль уровня Principal в сильной SaaS-компании: можно влиять на платформу и вести крупные технические улучшения с измеримым результатом.
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Выше рынкаЧёткая зона ответственностиРабота с масштабированиемПродуктовая компанияОграничение по локации
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Engineer, Enterprise Scalability (Distributed SaaS): Building and improving enterprise-scale platform capabilities for higher data volumes, demanding workloads, reliability, and multi-region readiness with an accent on performance engineering, distributed systems, and tenant isolation. Focus on removing production bottlenecks, driving sharding and partitioning strategies, creating repeatable scalability benchmarks, and applying AI-assisted profiling and incident response.
Location: Remote, East Coast only; Boston, MA, US. The role may require up to 10% travel for onboarding, client or partner work, team meetings, and industry events.
Base pay range for US locations: $244,000–$366,000 USD per year.
Company
hirify.global develops a SaaS platform that helps businesses use first-party data to build stronger customer relationships and personalized ecommerce experiences.
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, workload isolation, multi-region readiness, and high-volume migration strategies.
Create benchmarks, profiling harnesses, test environments, reusable engineering patterns, scalability reviews, and release gates.
Lead technical incident deep dives, address systemic causes, and validate fixes that reduce recurring incidents.
Apply AI-assisted profiling, workload modeling, synthetic traffic, anomaly detection, and guided runbooks with explicit guardrails and operational measurement.
Requirements
12+ years of relevant engineering experience, including deep experience scaling multi-tenant SaaS and a track record of measurable production impact.
Hands-on expertise in 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 when balancing immediate constraints against broader platform investments.
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.
Applied experience with AI tools or automation for engineering work, including evaluating usefulness, limitations, and operational risks.
Senior individual contributor role reporting to the VP of Engineering with no direct reports.
Culture & Benefits
Remote work is limited to the US East Coast.
Work focuses on technical depth, cross-team collaboration, measurable customer impact, and responsible AI use with privacy, security, bias awareness, and human-in-the-loop controls.
Compensation may also include an annual cash bonus, equity, sign-on payments, and health, welfare, and wellbeing benefits, subject to eligibility.
Employment practices include equal opportunity and reasonable accommodations.
Hiring process
hirify.global uses Covey in its hiring and/or promotional process.
By participating in interviews, candidates acknowledge and must follow hirify.global's guidelines for using AI in the interview process.
Submitting an application constitutes consent to processing personal data under the Job Applicant Privacy Notice.
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