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1 день назад

Principal Software Development Engineer (AI)

225 600 - 338 400$
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
Principal Software Development Engineer (AI): Building scalable, secure cloud-native enterprise applications and intelligent analytics solutions with an accent on backend and frontend architecture, data warehouses, and security and performance standards. Focus on designing SQL/NoSQL data systems, implementing microservices and automated testing, and guiding engineers across technical projects.

Location: San Jose, United States

Annual base pay: $225,600–$338,400, with potential incentive compensation, bonuses, restricted stock units, and benefits.

Company

hirify.global develops cybersecurity solutions that help organizations create, secure, and operate applications.

What you will do

  • Lead requirements analysis and define designs for new tools and enhancements to existing systems.
  • Architect and lead scalable, secure backend and frontend systems for Engineering and Operations teams.
  • Set technical direction, establish design methodologies, and apply coding standards and design patterns.
  • Build automated testing strategies and quality gates for continuous integration and deployment.
  • Drive security, performance, observability, and monitoring standards across software components.
  • Mentor junior engineers and collaborate with cross-functional teams to deliver projects.

Requirements

  • Bachelor’s or master’s degree in computer science, engineering, or an equivalent background, plus 10+ years of professional software engineering experience.
  • Expertise in cloud-native intelligent analytics and data warehouse solutions.
  • Experience with Go, Python, Java, or similar technologies.
  • Strong experience designing and performance-tuning SQL and NoSQL databases.
  • Experience with frontend technologies such as React and familiarity with machine learning models and AI techniques.
  • Hands-on experience with Docker, Kubernetes, microservices, and cloud platforms such as AWS or GCP.

Nice to have

  • Implementation experience with machine learning models and AI techniques for improved decision-making.
  • Experience with PromQL, Tableau, or Grafana.

Culture & Benefits

  • Potential incentive compensation, bonus, and restricted stock units.
  • Employee benefits are available.
  • Work is carried out in a diverse environment focused on improving customer and organizational outcomes.

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