Machine Learning, Platform Engineer

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. 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 also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. 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 Platform 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 Brazil.

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.

What You'll Need:

• BS degree in Computer Science or related field.

• 5+ years of relevant work experience.

• Strong programming skills in Golang

• Good knowledge of some (or all) of Python, AWS, 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.

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, Airflow, EMR

• Prior experience in the cybersecurity or intelligence fields.

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Benefits of Working at CrowdStrike:

• Remote-friendly and flexible work culture

• 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.

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