4 дня назад
Senior Software Engineer, Fullstack, IT Products (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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