Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В Company hidden предстоит руководить важной для всей компании стриминговой платформой с понятной зоной ответственности, но заявленные высокий темп, неопределённость и участие в дежурствах могут сделать работу напряжённой.
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Высокий темпСовременная инфраструктураВлияние на продуктРоль с дежурствами
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Engineering Manager (Kafka): Leading the Streaming Foundations team building and operating global Kafka infrastructure, Go and Ruby client libraries, and services supporting Shopify’s event-driven products with an accent on platform scalability, resiliency, and operational excellence. Focus on shaping infrastructure roadmaps, balancing new platform capabilities with reliability, and staying hands-on through design reviews, code shipping, and on-call operations.
Location: Remote - Americas
Company
hirify.global builds commerce products and services that help entrepreneurs and enterprises grow, serving millions of merchants in 175 countries.
What you will do
Build, lead, and grow a high-performing team responsible for mission-critical streaming infrastructure.
Own team outcomes end to end, from roadmap development through production operations.
Shape the streaming platform roadmap with teams across hirify.global so it scales ahead of product needs.
Collaborate with technical leads and contribute hands-on by reviewing designs, shipping code, and joining the on-call rotation.
Drive engineering excellence while balancing operational strength with a high shipping cadence.
Communicate through cross-team RFCs, leadership briefs, and discussions with non-technical stakeholders.
Requirements
Hands-on experience and understanding of Apache Kafka, Kubernetes, GCP, and/or other streaming technologies.
Prior experience managing a high-performing team responsible for data-intensive, mission-critical infrastructure.
Experience hiring, growing, and shaping a high-performance engineering team.
Technical depth to review designs, challenge trade-offs, and ship code alongside the team.
Ability to use AI to accelerate and improve daily work.
High standards for engineering quality and delivery.
Nice to have
No additional optional qualifications were specified.
Culture & Benefits
Digital-first daily work environment.
Fast-paced environment with significant change, complexity, and ambiguity.
Emphasis on professional and personal growth, resilience, resourcefulness, and critical thinking.
AI-enabled tools may be used to screen, select, and assess applications, with outputs reviewed by the recruitment team.
Hiring process
Candidates should be prepared to interview within one week of applying.
The interview loop aims to be completed within 30 days.
The process includes a live pair programming session; candidates should bring their own IDE.
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