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3 дня назад

Lead Backend Engineer (AI)

160 000 - 225 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
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
Lead Backend Engineer (Go/AI): Architecting and building production backend services and distributed systems for real-time AI platforms with an accent on microservices, event-driven architectures, secure data models, and low-latency media infrastructure. Focus on defining service boundaries and data contracts, designing fault-tolerant systems, and leading architecture, code reviews, mentoring, and production reliability.

Location: Hybrid, based in Arlington, VA, US

Base salary: $160,000–$225,000 per year, plus eligible performance bonuses and stock options.

Company

hirify.global is an AI and optimization company building software for complex operational environments, combining real-time communications, computer vision, audio intelligence, natural language processing, navigation, geospatial data, optimization, and secure cloud infrastructure.

What you will do

  • Architect and build production backend services in Go.
  • Define microservice boundaries, APIs, event flows, data contracts, and engineering standards.
  • Design real-time media infrastructure using WebRTC and LiveKit, plus Kafka-backed event-driven systems.
  • Design secure data models, authentication, and role-based access control across distributed services.
  • Lead architecture reviews, design discussions, code reviews, and engineer mentorship.
  • Own backend production reliability, observability, incident response, and failure recovery across cloud and edge environments.

Requirements

  • 7+ years of professional backend or distributed-systems engineering experience.
  • Strong production experience with Go.
  • Experience leading technical design and guiding other engineers.
  • Deep understanding of microservices, concurrency, networking, and fault tolerance.
  • Experience with relational databases, schema design, and data modeling.
  • Experience designing authentication and authorization systems.
  • Experience operating cloud-based systems on AWS, Azure, or GCP.
  • Legally authorized to work in the United States.

Nice to have

  • Experience with Apache Kafka and event-driven architectures.
  • Experience with WebRTC, LiveKit, or real-time media systems.
  • Experience building infrastructure for AI/ML, computer vision, or NLP.
  • Experience with Kubernetes, Docker, Terraform, and CI/CD.
  • Experience in defense, government, public safety, or high-security environments.

Culture & Benefits

  • Hybrid work environment with significant technical ownership and direct influence over product and architecture decisions.
  • Health, dental, and vision coverage.
  • Performance bonus opportunities and stock options.
  • Collaboration with specialists in AI, computer vision, audio, navigation, optimization, and real-time infrastructure.
  • Active U.S. government security clearance is not required, although candidates with current or prior clearance are encouraged to mention it; additional eligibility verification may apply for certain customers, contracts, or regulations.

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