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Engineering Manager, Data Streaming (Kafka)

160 162 - 282 952$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
France/UK/Singapore +9 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Engineering Manager, Data Streaming (Kafka): Building and operating Braze’s managed data streaming platform with an accent on Kafka, Kafka Streams, Apache Flink, and reliability engineering. Focus on leading a streaming platform team, designing self-service interfaces, establishing SLOs, and scaling highly available data paths globally.

Location: New York City, United States; hybrid work

Salary: $160,162–$282,952 per year for candidates based in the United States. Expected OTE is $180,000–$318,000 per year, including bonus or commission.

Company

hirify.global is a customer engagement platform that helps brands deliver personalized experiences through cross-channel messaging, journey orchestration, AI-powered decisioning, and optimization.

What you will do

  • Lead the Data Streaming team responsible for building and operating hirify.global’s managed streaming platform.
  • Build, mentor, and grow a high-performing team of platform and reliability engineers.
  • Own the platform vision, gather requirements from internal engineering teams, and drive adoption through self-service paved-road interfaces.
  • Guide architecture, scalability, automation, observability, infrastructure-as-code, secure design, and data governance across the Kafka and stream-processing stack.
  • Partner with SRE leadership to establish SLIs and SLOs, improve monitoring, and maintain operational excellence.
  • Lead incident response and post-mortems while ensuring high availability, fault tolerance, and healthy data paths as the platform scales globally.

Requirements

  • 5+ years of increasing responsibility in platform engineering or infrastructure, including engineering team management and mentoring.
  • Experience owning and delivering infrastructure services with significant business value.
  • Strong knowledge of distributed, event-driven systems including Kafka Connect, Kafka Streams, and Apache Flink.
  • Hands-on experience scaling internal platforms with cloud infrastructure such as AWS, GCP, or Azure.
  • Experience with Terraform, CI/CD pipelines, reliability engineering, and operational practices.
  • Strong relationship-building and communication skills for aligning engineering teams, leadership, SREs, and internal consumers.

Culture & Benefits

  • Hybrid ways of working with a curated in-office experience focused on community, team connections, and innovation.
  • Competitive compensation with potential equity grants and employee stock purchase plans.
  • Flexible paid time off and comprehensive medical, dental, vision, life, and disability coverage.
  • Family services, fertility benefits, and equal paid parental leave.
  • Professional development through career pathing, learning platforms, and an annual learning stipend.
  • Employee Resource Groups, volunteer opportunities, donation matching, and a collaborative culture.

Hiring process

  • AI-assisted tools may be used to screen application materials, schedule and record interviews, and summarize interview notes.
  • Recruiting teams remain involved in hiring decisions; candidates may request information, manual review, or an alternative process where applicable.

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