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7 дней назад

Staff Software Development Engineer (AI/ML)

152 000 - 190 000$
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

Текст:
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TL;DR
Staff Software Development Engineer (AI/ML): Building robust, scalable data infrastructure, APIs, and software platforms for ZPA Logging and Analytics that process billions of log events across distributed cloud environments with an accent on security, high availability, and actionable customer insights. Focus on designing batch and real-time data pipelines, optimizing cloud-native microservices, and solving complex scalability, multi-tenancy, and disaster recovery challenges.

Location: Hybrid role in Santa Clara, California, USA

Salary: $152,000–$190,000 USD base salary per year; excludes commission, bonus, equity, and benefits.

Company

hirify.global provides the Zero Trust Exchange, a cloud security platform that protects customers from cyberattacks and data loss through secure connections between users, devices, and applications.

What you will do

  • Research, design, develop, and implement computer and network software for hirify.global products.
  • Build, maintain, and optimize data infrastructure for large-scale batch processing and real-time workloads across distributed cloud environments.
  • Design secure, high-performance database schemas, data models, APIs, and data platforms.
  • Ingest and process billions of log events to deliver actionable analytics and visibility for customers and researchers.
  • Enhance existing platforms through agile development, focusing on code quality, supportability, scalability, performance, and continuous improvement.

Requirements

  • Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions within the relevant domain.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of professional software engineering experience.
  • Strong experience with public cloud platforms such as AWS, GCP, or Azure, plus cloud-native API and microservice development.
  • Proven experience with Java, Spring Framework, Kafka, Kubernetes, and Docker.
  • Experience building scalable batch and real-time data pipelines.
  • Experience designing systems for security, scaling, multi-tenancy, high availability, and disaster recovery.
  • Ability to work across architectural strategy and hands-on code execution, operate in ambiguous environments, collaborate effectively, and use data to guide engineering decisions.

Nice to have

  • Ability to leverage AI technologies and workflows to drive measurable operational efficiency.
  • Experience using AI tools and methodologies to accelerate the software development lifecycle and improve developer productivity.
  • Technical expertise in Apache Spark for large-scale data processing.
  • Practical experience with machine learning models, systems, or pipelines.

Culture & Benefits

  • Hybrid working model with an ownership, collaboration, trust, and constructive feedback culture.
  • Health plans, vacation and sick time, parental leave, retirement options, education reimbursement, and in-office perks.
  • Inclusive workplace with equal employment opportunities and support for reasonable accommodations.
  • Full-time employment; the stated base salary excludes commission, bonus, equity, and benefits.

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