Назад
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3 дня назад

Senior Software Engineer (Go Backend, AI)

160 000 - 225 000$
Формат работы
hybrid
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
Senior Software Engineer (Go Backend, AI): Building distributed backend systems for mission-critical AI applications, including real-time data processing, secure communications, event-driven services, and operational cloud infrastructure with an accent on Go, low-latency architecture, security, and reliability. Focus on designing service boundaries, integrating AI/ML and real-time workflows, solving concurrency and distributed-system failures, and operating production systems under demanding conditions.

Location: Hybrid role based in Arlington, VA, United States

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 advanced software for complex operational environments, including real-time communications, computer vision, audio intelligence, natural language processing, navigation, geospatial data, optimization, and secure cloud infrastructure.

What you will do

  • Design, build, and operate production backend services primarily in Go.
  • Architect distributed systems for reliability, scalability, low latency, observability, security, and failure recovery.
  • Define APIs, service boundaries, event flows, data models, persistence strategies, and communication contracts.
  • Build event-driven systems with Kafka and real-time communications infrastructure using WebRTC and LiveKit.
  • Integrate backend systems with AI/ML, computer vision, audio, NLP, navigation, and geospatial applications.
  • Diagnose complex production issues, design testing strategies, participate in architecture reviews, and mentor engineers.

Requirements

  • 5+ years of professional software engineering experience focused on backend, platform, or distributed systems.
  • Strong production experience with Go and distributed services.
  • Strong understanding of concurrency, networking, APIs, service boundaries, fault tolerance, and distributed-system fundamentals.
  • Experience with relational databases, schema design, domain modeling, production data-access patterns, authentication, authorization, and RBAC or similar access-control models.
  • Experience deploying and operating cloud-based systems on AWS, Azure, or GCP.
  • Strong debugging and performance-analysis skills, plus experience with automated testing, code review, and production engineering practices.
  • Ability to explain technical architecture and engineering tradeoffs clearly.
  • Legally authorized to work in the United States.
  • Ability to obtain and maintain a U.S. government security clearance.

Nice to have

  • Apache Kafka, stream processing, event-driven systems, message queues, WebRTC, LiveKit, or real-time audio/video experience.
  • Production experience with Rust, gRPC, WebSockets, PostgreSQL, Redis, Kubernetes, Docker, Terraform, CI/CD, or modern cloud infrastructure.
  • Experience building AI/ML, computer vision, audio-processing, NLP, geospatial, real-time collaboration, or communications platforms.
  • Experience with distributed tracing, metrics, structured logging, observability, encryption, audit logging, secrets management, and least-privilege security.
  • Experience in defense, government, public safety, regulated, or high-security environments; active or previously held U.S. government security clearance.

Culture & Benefits

  • Hybrid work in Arlington, VA, with a flexible work environment.
  • Direct ownership of architecture, implementation, and production systems, with influence over product and technical direction.
  • Collaborative work across AI/ML, distributed systems, computer vision, audio, navigation, optimization, and real-time infrastructure.
  • Health, dental, and vision coverage.
  • Performance bonus opportunities and stock options.

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