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3 дня назад

System Software Engineer (AI)

120 500 - 243 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/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
System Software Engineer (Distributed Systems/AI): Designing, developing, testing, and debugging systems software and large-scale distributed services with an accent on microservices, databases, APIs, and production AI integrations. Focus on leading subsystem development, solving complex integration issues, and mentoring software engineering teams.

Location: Onsite at an HPE office in the United States; salary information specifies California

Salary: $120,500–$243,000 annual base salary in California, United States. Variable incentives may also be offered.

Company

hirify.global is a global edge-to-cloud technology company connecting, protecting, analyzing, and managing data and applications from edge to cloud.

What you will do

  • Design and develop enhancements, updates, and programming changes for systems software and distributed products.
  • Analyze architecture and define coding, programming, integration, and testing activities.
  • Write testing plans and documentation, debug code, and resolve integration issues.
  • Lead project teams of software systems engineers and internal or outsourced development partners.
  • Collaborate with management, architects, development partners, and other stakeholders on design status, progress, and issue resolution.
  • Represent the software systems engineering team on complex development projects and mentor less-experienced engineers.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or an equivalent field.
  • 4+ years of software development experience.
  • Experience with one or more of Golang, Python, or Java.
  • Experience with distributed systems and microservice architectures using Docker, Kubernetes, and Kafka.
  • Experience with RESTful APIs, RPC frameworks, WebSockets, databases, and big data technologies.
  • Strong analytical and problem-solving skills, including SQL and NoSQL database knowledge.

Nice to have

  • Understanding of fundamental machine learning concepts and production integration patterns.
  • Experience developing software that interfaces with ML models and AI services.
  • Knowledge of data preprocessing and feature engineering from a software implementation perspective.

Culture & Benefits

  • Health, financial, and emotional wellbeing benefits for employees and their families.
  • Personal and professional development programs supporting technical specialization and career growth.
  • Inclusive workplace that values varied backgrounds and individual uniqueness.
  • Work and personal needs flexibility within an onsite office-based role.

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