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6 дней назад

Engineering Manager – Backend & Infrastructure (AI Posture)

197 200 - 319 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Engineering Manager – Backend & Infrastructure (AI Posture) (Go/Microservices/Cybersecurity): Leading a backend team building and operating high-throughput, low-latency Go microservices for AI posture capabilities with an accent on infrastructure efficiency, cloud resources, and AI-assisted engineering. Focus on optimizing concurrency, memory usage, observability, deployment pipelines, and cross-functional delivery across Product, Security, SRE, and Platform teams.

Location: Santa Clara, California, United States of America; primarily office-based

Salary: $197,200–$319,000 per year, with potential bonus and restricted stock units

Company

hirify.global operates in the cybersecurity industry and develops technology to protect digital environments.

What you will do

  • Lead, mentor, and grow a backend engineering team of 8–10 engineers.
  • Drive adoption of AI tooling, automated testing, profiling, and modern engineering practices.
  • Lead the design and optimization of high-throughput, low-latency Go microservices.
  • Partner with Infrastructure and Platform teams to optimize memory usage, compute density, cloud resources, cost, and latency.
  • Align technical priorities and multi-quarter roadmaps with Product Management, Security, and SRE.
  • Drive production readiness through deployment pipelines, telemetry, tracing, performance tuning, and incident response.

Requirements

  • 5–7 years of experience managing software engineering teams working with distributed backend systems.
  • 8+ years of hands-on software engineering experience with strong systems-level expertise in Go and concurrent programming.
  • Experience designing, building, and operating high-concurrency microservices at scale.
  • Deep understanding of infrastructure layers, Kubernetes, Docker, and at least one major cloud platform: GCP, AWS, or Azure.
  • Experience mentoring engineers and building inclusive, high-trust teams.
  • Practical experience using AI tools to improve engineering productivity.

Nice to have

  • Experience with network discovery, traffic analysis, packet processing, or network protocol engineering.
  • Experience with Kafka, gRPC, BigQuery, Redis, or MongoDB.
  • Experience in cybersecurity, threat intelligence, cloud security posture management, or AI risk vectors.

Culture & Benefits

  • Empathy-first leadership, psychological safety, trust, inclusion, and continuous growth.
  • Collaboration with Product, Security, SRE, Infrastructure, and Platform teams.
  • Base compensation may include a bonus and restricted stock units.
  • Immigration sponsorship is available.

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