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4 дня назад

Senior Software Engineer, Fullstack, IT Products (AI)

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

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TL;DR
Senior Software Engineer, Fullstack, IT Products (AI) (Python/TypeScript/Kafka): Building high-throughput backend infrastructure and administrative interfaces for an AI-powered device management platform that configures, patches, and secures enterprise endpoints at scale with an accent on distributed systems, telemetry pipelines, and real-time device orchestration. Focus on designing resilient microservices, optimizing relational database performance, handling high-concurrency device connections, and evolving CI/CD and deployment infrastructure.

Location: Miami, with on-site work required at the Coral Gables office Tuesday through Thursday.

Company

Builds a unified, AI-powered enterprise IT and security platform for remotely managing macOS, Windows, iOS, and Android devices.

What you will do

  • Architect and implement reliable, scalable backend services for the device management platform.
  • Build asynchronous service communication, configuration distribution, and telemetry pipelines with Kafka.
  • Optimize high-performance queries for relational databases and device inventory systems.
  • Partner with infrastructure engineers on CI/CD pipelines, agent distribution networks, and service deployment patterns.
  • Design resilient systems capable of supporting large-scale device fleet growth and failure recovery.
  • Lead technical development through code reviews, architecture discussions, and mentoring.

Requirements

  • 5+ years of professional software engineering experience with a strong backend focus.
  • Strong professional proficiency in Python and TypeScript, with production experience using FastAPI, Django, or Flask.
  • Experience with React or frontend architecture for administrative consoles.
  • Strict requirement: experience with event-driven architectures and Kafka.
  • Deep understanding of service-oriented architecture, microservices, high-concurrency connections, cloud platforms such as AWS or GCP, Docker, CI/CD, and infrastructure automation.
  • Experience with E2E testing using Playwright or Selenium, observability tools such as DataDog, and peer code reviews.

Culture & Benefits

  • Full-time hybrid work arrangement.
  • AI-assisted development tools such as GitHub Copilot and Cursor are used to accelerate delivery.
  • Emphasis on rigorous code self-review, constructive feedback, and current engineering best practices.

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