Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Выше рынка
$300к-350к/год
$180к$220кмедиана$240к
По похожим ролям (47) ~ $220к/год
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Крутая вакансия
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Чётко описанная роль уровня Staff даёт ответственность за критически важную платформу и крупную облачную миграцию, с серьёзной технической глубиной и потенциалом развития.
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Оплата выше рынкаСовременный стекВлияние на платформуПонятная зона ответственностиРабота в офисе
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer - Core Platform - Streaming & Storage (Streaming/AWS/Kafka): Building and operating foundational streaming, messaging, and nonrelational storage platforms processing billions of events per day with an accent on migrating Azure services to an AWS-native Kafka-compatible platform. Focus on high-availability infrastructure, schema enforcement, P0 operational excellence, compliance controls, and mentoring engineers across a company-wide platform.
Location: Hybrid onsite, 3 days in office and 2 days remote, in New York, NY, Century City, CA, Aliso Viejo, CA, or San Francisco, CA.
Base annual salary: $300,000–$350,000 USD, plus equity and benefits.
Company
hirify.global operates a global marketplace for buying and selling tickets to live events, serving customers in 195 countries.
What you will do
Own the technical strategy and architecture for streaming, messaging, NoSQL, and storage platforms supporting P0 workflows.
Lead the migration from Azure EventHub and ServiceBus to an AWS-native, Kafka-compatible platform, including vendor selection, benchmarking, broker deployment, schema registry, and producer/consumer SDKs.
Design and operate high-throughput infrastructure processing 10–30 billion events per day for approximately 100 service teams.
Drive architecture reviews, observability, operational readiness, incident response, reliability, performance, and cost management for P0 systems.
Partner with service teams on adoption through migration guides, tooling, sign-off processes, and developer experience.
Build compliance and governance into the platform, shape the multi-year roadmap, and mentor a team of 3–5 engineers.
Requirements
8+ years of software engineering experience, including several years as a technical lead for large-scale distributed systems.
Deep expertise in event streaming and messaging with Kafka or Kafka-compatible brokers, including MSK, Confluent, Redpanda, AutoMQ, or WarpStream.
Production infrastructure experience at scale, including high availability, incident response, performance tuning, and cost management.
Experience with cloud data storage and NoSQL systems, including object storage, key-value stores, distributed caches, and search/indexing.
Experience leading multi-quarter, cross-team platform migrations or programs end to end.
Excellent communication skills for aligning leadership, partner teams, and engineers on technical direction.
Experience mentoring junior engineers.
Nice to have
Schema registry and compatibility tooling experience.
Experience with lakehouse formats such as Iceberg, CDC pipelines, .NET/C#, Python, Kubernetes/EKS, Terraform, or OpenTelemetry.
Culture & Benefits
Autonomy to lead experiments and tests at massive scale.
Competitive base compensation, equity, and performance-related upside.
Unlimited Flex Time Off.
401(k), health, vision, and dental insurance.
Paid parental leave and comprehensive health benefits.
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