Data Engineer (Remote, IND)

​​#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters – one team, one fight.

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.

• 5+ 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.

 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.

#LI-DP1

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Benefits of Working at CrowdStrike:

• Remote-first culture

• Market leader in compensation and equity awards with option to participate in ESPP in eligible countries

• Competitive vacation and flexible working arrangements

• Physical and mental wellness programs 

• Paid parental leave, including adoption 

• A variety of professional development and mentorship opportunities

• Access to CrowdStrike University, LinkedIn Learning and Jhanna

• Offices with stocked kitchens when you need to fuel innovation and collaboration

• Birthday time-off in your local country

• Work with people who are passionate in our mission and Great Place to Work certified across the globe

We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation – generating the best possible outcomes for our customers and the communities they serve.

CrowdStrike is committed to maintaining an environment of Equal Opportunity and Affirmative Action. If you need reasonable accommodation to access the information provided on this website, please contact [email protected]​, for further assistance.