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netskope
Страна
США
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128 000 $ – 260 500 $
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Principal Engineer, Agentic AI

Оценка ИИ

Отличная позиция в лидирующей компании в сфере кибербезопасности с очень конкурентной зарплатой и возможностью работать над передовыми AI-технологиями.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием к огромному опыту (14+ лет) и необходимости глубоких знаний как в классической разработке (Scala/Java, Big Data), так и в современных AI-архитектурах (RAG, Agentic AI).

Анализ зарплаты

Медиана210 000 $
Рынок160 000 $ – 280 000 $
Оценка ИИ

Предложенный диапазон ($128k - $260k) полностью соответствует рыночным стандартам для позиции Principal Engineer в США, где верхняя планка часто достигает $250k-280k для топовых технологических компаний.

Сопроводительное письмо

I am writing to express my strong interest in the Principal Engineer, Agentic AI position at Netskope. With over 14 years of experience in building enterprise-grade cloud services and a deep expertise in Scala and Java, I am excited about the opportunity to drive the enhancement of your Agentic AI security capabilities. My background in designing scalable systems on AWS, combined with a passion for integrating cutting-edge AI/ML techniques like RAG and vector databases, aligns perfectly with Netskope's mission to redefine cloud and data security.

Throughout my career, I have excelled in high-impact individual contributor roles, leading complex projects from discovery to delivery. I am particularly drawn to this role because it offers the unique challenge of building systems that protect sensitive data in the era of private LLMs and multi-agent systems. I am confident that my technical leadership and experience with large-scale data systems will allow me to make immediate contributions to your AI R&D team and help your customers stay ahead of evolving cyber threats.

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Откликнитесь в netskope уже сейчас

Присоединяйтесь к Netskope, чтобы создавать будущее кибербезопасности на стыке Agentic AI и облачных технологий!

Описание вакансии

About Netskope

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.

About the team

We are seeking an exceptional Principal Engineer to build next-generation security analytics and AI-powered capabilities within Netskope's platform. This is a high-impact individual contributor role for an engineer who excels at solving complex technical problems at the intersection of artificial intelligence, large-scale data systems, and cybersecurity.

As a Principal Engineer, you will design and implement sophisticated systems that leverage cutting-edge AI/ML techniques, graph-based analytics, and real-time data processing to solve critical security challenges. You will work on problems spanning threat detection, risk assessment, behavioral analytics, and intelligent automation—building the systems that help security teams at the world's largest enterprises detect and respond to threats.

What's in it for you

This is your chance to work at the absolute intersection of Artificial Intelligence, large-scale Data Systems, and Cybersecurity. You won't just use existing tools; you will be designing and implementing sophisticated, cutting-edge systems that fundamentally change how enterprises detect and respond to threats.

What you will be doing

  • Drive the enhancement of Agentic AI security capabilities, by enabling the continuous detection and posture management of sensitive or risky data. This includes data utilized in (but not limited to) training private LLMs or accessed and acted upon by public or multi-agent LLM systems
  • Improve the Agentic AI platform to extend seamless support to all major cloud infrastructures, on-prem deployments, and any new upcoming data or AI-centric technologies.
  • Provide technical leadership in all phases of a project, from discovery and planning through implementation and delivery.
  • Contribute to product development: understand customer requirements and work with the product team to design, plan, and implement features.
  • Support customers by investigating and fixing production issues.
  • Help us improve our processes and make the right tradeoffs between agility, cost, and reliability.
  • Collaborate with the teams across geographies.

Required skills and experience

  • 14+ years of software development experience with enterprise-grade software.
  • Must have experience in building scalable, high-performance cloud services.
  • Expert coding skills in Scala or Java.
  • Development on cloud platforms including AWS.
  • Deep knowledge on databases and data warehouses (OLTP, OLAP)
  • Analytical and troubleshooting skills.
  • Experience working with Docker and Kubernetes.
  • Able to multitask and wear many hats in a fast-paced environment. This week you might lead the design of a new feature, next week you are fixing a critical bug or improving our CI infrastructure.
  • Cybersecurity experience and adversarial thinking is a plus.
  • Expertise in building REST APIs.
  • Experience leveraging cloud-based AI services (e.g., AWS Bedrock, SageMaker), vector databases, and Retrieval Augmented Generation (RAG) architectures is a plus.

Education

  • BSCS or equivalent required, MSCS or equivalent strongly preferred

#LI-SC1

Compensation:

At Netskope, salary is one component of our competitive total rewards package. The salary range for this position is as listed below. This is a national range. For purposes of complying with applicable laws, the range applies to candidates in California, Colorado, Illinois, Maryland, New York, Washington, and other states.

The successful candidate’s starting pay will also be determined based on job-related skills, experience, qualifications, location, and market conditions. 

For all sales roles, the posted salary range is the On Target Earnings (OTE) range for the role, which is the sum of base salary and target commission amount at 100% goal achievement.

In addition to salary, candidates may be eligible for other forms of compensation such as participation in a bonus plan (for non-sales roles) and a stock award program. Candidates may also be eligible for a comprehensive health plan and other benefits that can be reviewed at Netskope Benefits site.

Salary Range

$128,000—$260,500 USD

Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.

The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.

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Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Scala
  • Java
  • AWS
  • Docker
  • Kubernetes
  • REST API
  • AWS Bedrock
  • Amazon SageMaker
  • Vector Database
  • RAG
  • OLTP
  • OLAP

Возможные вопросы на собеседовании

Учитывая фокус на Agentic AI, важно понимать, как кандидат проектирует системы, способные автономно обрабатывать данные.

Как бы вы спроектировали архитектуру для мониторинга безопасности в реальном времени для мультиагентной LLM-системы?

Вакансия требует экспертных знаний Scala/Java и облачных сервисов.

Опишите ваш опыт оптимизации производительности высоконагруженных сервисов на Scala в среде Kubernetes. С какими узкими местами вы сталкивались?

Роль подразумевает работу с чувствительными данными и ИИ.

Какие стратегии вы бы использовали для обеспечения безопасности данных при обучении частных LLM моделей в облачной инфраструктуре?

Упоминание RAG и векторных БД в описании указывает на практическое применение этих технологий.

В чем заключаются основные сложности масштабирования векторных баз данных при работе с миллиардами векторов в контексте кибербезопасности?

Позиция Principal Engineer требует умения балансировать между скоростью и качеством.

Расскажите о случае, когда вам пришлось принимать сложное решение о компромиссе между гибкостью разработки и надежностью системы. Каков был результат?

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netskope
Страна
США
Зарплата
128 000 $ – 260 500 $