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7 дней назад

SASE Cloud Software Engineer - AI & Backend

136 500 - 276 500$
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
SASE Cloud Software Engineer - AI & Backend (AI/SASE): Building scalable backend services, APIs, and AI-driven workflows for the HPE EdgeConnect Orchestrator and SD-WAN deployments with an accent on cloud-native architecture, data platforms, and Copilot capabilities. Focus on designing microservices, integrating RAG and agentic AI, optimizing production performance, and ensuring security and reliability.

Location: Hybrid in San Jose, California, with at least 2 days per week in the HPE office

Salary: USD 136,500–276,500 annual base salary for California, United States

Company

hirify.global develops edge-to-cloud, networking, secure connectivity, and data infrastructure solutions.

What you will do

  • Develop and enhance the EdgeConnect Orchestrator web application for SD-WAN deployments.
  • Design scalable backend services, REST APIs, and microservices for orchestration, monitoring, and network management.
  • Build and integrate AI-driven workflows, Copilot capabilities, and intelligent automation for troubleshooting, documentation, and analytics.
  • Connect analytics databases and telemetry systems to enable real-time insights.
  • Write unit, integration, and white-box tests, and perform debugging, root-cause analysis, and performance optimization.
  • Collaborate with engineering, QA, and product management on scalable, secure architecture decisions.

Requirements

  • 5+ years of Java and/or Python backend development experience.
  • 5+ years of experience designing REST APIs and microservices architectures.
  • 2+ years of experience building, integrating, or deploying AI/LLM-powered applications, Copilot solutions, or intelligent automation workflows.
  • Experience with prompt engineering, agentic AI, Retrieval-Augmented Generation, AI orchestration, and LLM evaluation.
  • Strong database design experience with SQL and/or NoSQL, plus scalable cloud-native development on AWS, Azure, or similar platforms.
  • Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical field; a master’s degree is preferred.

Nice to have

  • Master’s degree in a related technical discipline.
  • Familiarity with JavaScript, React, and Node.js.

Culture & Benefits

  • Comprehensive health, financial, and emotional wellbeing benefits.
  • Personal and professional development programs.
  • Inclusive workplace focused on varied backgrounds and individual uniqueness.
  • Flexible support for managing work and personal needs.

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