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okta
Страна
США
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Staff Software Engineer, Data Platform (FedRamp)

Оценка ИИ

Отличная позиция в топовой компании с высокой зарплатой, значительным пакетом льгот и возможностью влиять на архитектуру критически важных систем безопасности.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованиями к опыту (8+ лет), необходимостью глубоких знаний распределенных систем (Flink, Kafka, Kubernetes) и строгими требованиями к гражданству (U.S. Person) для работы с федеральными данными.

Анализ зарплаты

Медиана235 000 $
Рынок190 000 $ – 280 000 $
Оценка ИИ

Предложенный диапазон ($194k - $267k) полностью соответствует рыночным стандартам для позиции Staff Engineer в Сан-Франциско, где базовые зарплаты часто начинаются от $200k, а общий доход (TC) значительно выше за счет акций.

Сопроводительное письмо

I am writing to express my strong interest in the Staff Software Engineer position within the Data Platform team at Okta. With over 8 years of experience in building high-performance distributed systems and a deep expertise in Java, I have consistently delivered scalable data infrastructure solutions that align with the technical challenges described in your posting. My background in optimizing streaming platforms using Flink and Kinesis, combined with a focus on reliability engineering, makes me a strong fit for Okta's mission to secure every identity.

In my previous roles, I have successfully led the design of petabyte-scale data integration applications and mentored engineering teams to achieve excellence in code quality and system performance. I am particularly drawn to this role because of the opportunity to work on FedRamp-compliant infrastructure and the strategic importance of data and ML for Okta's security products. I am a U.S. Person and am fully prepared to meet the federal environment access requirements while contributing to the evolution of your cloud computing landscape.

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Присоединяйтесь к Okta, чтобы строить будущее безопасности данных и ИИ в масштабах всей страны!

Описание вакансии

Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

About the Team

The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables:

  • Streaming analytics
  • Interactive end-user reporting
  • Data and ML platform for Okta to scale
  • Telemetry of our products and data

Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company. Okta is about to change the cloud computing landscape forever.

About the Position

This is an opportunity for experienced Software Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services & data products. In this role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come. As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML. Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake.

We are looking for experienced Software Engineers who can help design and own the building, deploying and optimizing the streaming infrastructure. This project has a directive from engineering leadership to make OKTA a leader in the use of data and machine learning to improve end-user security and to expand that core-competency across the rest of engineering. You will have a sizable impact on the direction, design & implementation of the solutions to these problems.

Job Duties and Responsibilities:

  • Design, implement and own data-intensive, high-performance, scalable platform components
  • Work with engineering teams, architects and cross functional partners on the development of projects, design, and implementation
  • Conduct and participate in design reviews, code reviews, analysis, and performance tuning
  • Coach and mentor engineers to help scale up the engineering organization
  • Debug production issues across services and multiple levels of the stack

Required Knowledge, Skills, and Abilities:

  • 8+ years of experience in object-oriented language, preferably Java
  • Hands-on experience using a cloud-based distributed computing technologies including
  • Messaging systems such as Kinesis, Kafka
  • Data processing systems like Flink, Spark, Beam
  • Storage & Compute systems such as Snowflake, Hadoop
  • Coordinators and schedulers like the ones in Kubernetes, Hadoop, Mesos
  • Experience in developing and tuning highly scalable distributed systems
  • Excellent grasp of software engineering principles
  • Solid understanding of multithreading, garbage collection and memory management
  • Experience with reliability engineering specifically in areas such as data quality, data observability and incident management

Nice to have

  • Maintained security, encryption, identity management, or authentication infrastructure
  • Leveraged major public cloud providers to build mission-critical, high volume services
  • Hands-on experience in developing Data Integration applications for large scale (petabyte scale) environments with experience in both batch and online systems.
  • Contributed to the development of distributed systems or used one or more at high volume or criticality such as Kafka or Hadoop
  • Experience developing Kubernetes based services on AWS Stack

Additional requirements:

  • This position requires the ability to access federal environments and/or have access to protected federal data.  As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

This role will require travel to one of our office locations for in-person onboarding.

#LI-SM1

#LI-Hybrid

P24508_3376753

Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit:https://rewards.okta.com/us.

The annual base salary range for this position for candidates located in the San Francisco Bay area is between:

$194,000—$267,000 USD

The Okta Experience

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • Java
  • Kinesis
  • Kafka
  • Flink
  • Spark
  • Apache Beam
  • Snowflake
  • Hadoop
  • Kubernetes
  • AWS
  • ElasticSearch
  • Distributed Systems
  • Multithreading

Возможные вопросы на собеседовании

Для роли Staff уровня критически важно понимать внутреннее устройство инструментов обработки потоков данных.

Как бы вы оптимизировали производительность Flink-приложения при обработке миллиардов событий с учетом минимизации задержек (latency)?

Вакансия подразумевает работу с FedRamp и критической инфраструктурой.

Какие архитектурные паттерны вы используете для обеспечения отказоустойчивости и целостности данных в распределенных системах при работе в облаке?

Роль требует опыта работы с Java и понимания низкоуровневых процессов.

Расскажите о вашем опыте настройки Garbage Collection в высоконагруженных Java-приложениях: с какими проблемами вы сталкивались и как их решали?

Staff Engineer должен уметь направлять команду и принимать сложные решения.

Опишите случай, когда вам пришлось принимать сложное архитектурное решение в условиях неопределенности. Как вы аргументировали свой выбор перед стейкхолдерами?

Работа с данными требует внимания к их качеству и наблюдаемости.

Как вы подходите к реализации Data Observability в пайплайнах, объединяющих пакетную и потоковную обработку (например, Snowflake и Kinesis)?

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okta
Страна
США
Зарплата
194 000 $ – 267 000 $