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8 дней назад

Director of Engineering, AI Data Fabric

253 400 - 380 200$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
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
Director of Engineering, AI Data Fabric (AI/Data Platform): Leading the OpenTelemetry-based data platform that ingests, processes, transforms, stores, and serves telemetry across F5 with an accent on enterprise-scale reliability, hybrid multi-cloud expansion, and data security. Focus on scaling regional infrastructure, owning platform contracts and SLOs, improving data correctness and cost efficiency, and developing engineering managers.

Location: Seattle, United States; other locations include Reston and San Jose. Workplace type: Hybrid.

Annual base pay: $253,400–$380,200, plus possible incentive compensation, bonus, restricted stock units, and benefits.

Company

hirify.global develops cybersecurity and application delivery solutions that help organizations create, secure, and operate applications.

What you will do

  • Lead and develop engineering managers while setting goals, coaching growth, evaluating performance, and improving delivery predictability.
  • Own the technical strategy, multi-year roadmap, engineering standards, vendor relationships, and core technology decisions for the AI Data Fabric.
  • Expand the OpenTelemetry-based platform across additional hirify.global data centers and cloud providers while meeting residency and portability requirements.
  • Own platform contracts used by AI/ML, analytics, data engineering, and data catalog teams, including onboarding new telemetry sources.
  • Set SLOs and operational standards for ingestion, processing, retrieval, incident response, security, privacy, and audit readiness.
  • Partner with Product, Finance, SRE, Security, and engineering leadership on platform strategy, investment, risk, and resourcing.

Requirements

  • 10+ years of software engineering experience, including 6+ years managing engineers and 2+ years managing managers.
  • Experience leading major platform migrations, expansions, or re-architectures without disrupting production.
  • Experience operating enterprise-scale data platforms under formal SLOs and 24/7 accountability.
  • Knowledge of distributed compute and streaming at production scale, including Kafka, Flink, and Spark.
  • Experience with analytical storage and query engines, open table formats, Kubernetes, hybrid multi-cloud infrastructure, and OpenTelemetry pipelines.
  • Working expertise in Golang, Java, Python, or C++ and experience with data correctness, platform APIs, data contracts, security, and privacy.

Nice to have

  • Experience operating platforms whose data feeds billing or externally reported figures.
  • Experience presenting technical strategy, risk, and investment trade-offs to executive leadership.

Culture & Benefits

  • Continuous learning opportunities and mentorship.
  • Positive, supportive, and inclusive workplace culture.
  • Innovation-focused environment with the opportunity to shape the platform’s future.
  • Potential incentive compensation, bonus, restricted stock units, and employee benefits.

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