出海雷达

数据工程师 III (远程, 印度)

Data Engineer III (Remote, IND)

开发工程限定地区(需当地身份)
公司Crowdstrike
薪资未公开
工作地点India
地域资格限定地区(需当地身份)
时区要求日间重叠约 6 小时,基本正常作息
用工类型Full Time
发布时间14 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 India 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

作为网络安全领域的全球领导者,CrowdStrike 保护推动现代组织的人员、流程和技术。自 2011 年以来,我们的使命从未改变——我们致力于阻止入侵,并通过世界上最先进的 AI 原生平台重新定义现代安全。我们构建大规模分布式系统,每天处理近 3 万亿个事件,且这一流量每天都在增长。我们的客户涵盖所有行业,他们依赖 CrowdStrike 来保障业务运行、社区安全以及生活持续向前。我们自豪于为一家以使命为导向的公司工作,利用 AI 改变我们的工作方式。CrowdStrikers 通过灵活性和自主性推动自己的职业发展,同时被期望为负责任的 AI 采用、实验和创新文化做出贡献。我们以 AI 优先的思维方式作为加速执行、建立专业知识、发现洞察力和解决复杂问题的助推器。我们一直在寻找有才华的 CrowdStrikers 加入团队,他们充满无限热情,对创新有不懈的专注,并对客户、社区和彼此有着狂热的承诺。准备好加入一项有意义的使命了吗?网络安全的未来从你开始。

职位简介:
我们正在招聘一名数据工程师加入 CrowdStrike 的数据工程团队。数据工程团队隶属于数据科学部门,为数据科学家提供必要的管道、基础设施和自动化,以便他们训练和评估模型,并让用户轻松分析和操作大量数据。该团队在确保我们的产品在行业中处于领先地位方面发挥着最关键的作用。你将与产品经理、数据科学家和其他工程师合作,构建内部和外部服务。
此职位面向位于印度的远程候选人开放。

职位要求:

  • 计算机科学或相关领域的学士学位。
  • 7 年以上相关工作经验。
  • 熟悉 AWS、Python、Golang、Kafka、Airflow、Docker、Linux、K8 等工具(或其中部分)来构建数据管道。
  • 过去曾处理过大量数据(我们每天处理和分析超过 1 万亿个事件)
  • 熟悉分布式系统设计及相关的权衡。
  • 熟悉 CI/CD 及其最佳实践。
  • 熟悉基于 Docker 或 Kubernetes 的开发和编排。
查看英文原文

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:
We are looking to hire a Data Engineer for the Data Engineering team at CrowdStrike. The Data Engineering team operates within the Data Science organization, and provides the necessary pipelines, infrastructure, and automation for Data Scientist to train and evaluate models and allow users to analyze and act on vast quantities of data effortlessly. The team has one of the most critical roles to play in ensuring our products are best-in-class in the industry. You will interact with product managers, Data Scientist, and other engineers in building both internal and external facing services.
This job is open to remote candidates located in India.
What You'll Need:

  • BS degree in Computer Science or related field.
  • 7+ years of relevant work experience.
  • Good knowledge of some (or all) of AWS, Python, Golang, Kafka, Airflow, Docker, Linux, K8, etc to build pipelines.
  • Have worked with large volumes of data in the past (We ingest and analyze over 1 Trillion events per day)
  • Good knowledge of distributed system design and associated tradeoffs.
  • Good knowledge of CI / CD and associated best practices.
  • Familiarity with Docker and or Kubernetes based development and orchestration.
  • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

What You'll Do:

  • Work with a team to design and build services that power industry-leading machine learning products.
  • Build automation tools for scientists to deploy models.
  • Help maintain and improve production data systems.
  • Work with peers on code reviews / PRs.
  • Work across several teams responsible for different aspects of contribution to machine learning data at CrowdStrike.

Bonus points:

  • Created automated / scalable infrastructure and pipelines for teams in the past.
  • Contributed to the open-source community (GitHub, Stack Overflow, blogging).
  • Prior experience with Spinnaker, Relational DBs, or KV Stores.
  • Prior experience with the Big Data ecosystem like Spark
  • Prior experience with services like AWS Batch, EMR, Glue, and SageMaker
  • Prior experience in the cybersecurity or intelligence fields.

Benefits of Working at CrowdStrike:

  • Market leader in compensation and equity awards
  • Comprehensive physical and mental wellness programs
  • Competitive vacation and holidays for recharge
  • Paid parental and adoption leaves
  • Professional development opportunities for all employees regardless of level or role
  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
  • Vibrant office culture with world class amenities
  • Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance.

Originally posted on Himalayas

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