Sr. Software Engineer, Cloud - Analytics Platform

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:

The data engineering team is on a mission to create a hyper scale data lake, which helps find bad actors and stop breaches. The team builds and operates systems to centralize all of the data the falcon platform collects, making it easy for internal and external customers to transform and access the data for analytics, machine learning, and threat hunting. As a senior engineer on the team, you will contribute to the full spectrum of our systems, from foundational processing and data storage, through scalable pipelines, to frameworks, tools and applications that make that data available to other teams and systems.

Your primary toolset in your work will be Java microservices, Spark/Scala data processing (also some Flink), Kubernetes and AWS native tooling.

Your primary focus will be owning our new graph database, which you will have a significant hand in building.

This role will be based out of the New York City Metro and will likely include 1-3 days in-office per week on average (NYC office is in development and/or expanding, so workers here will remain fully remote for likely 18-24 months)

What You'll Do:

Write highly fault-tolerant Java code within Apache Spark, Flink and custom OLAP, Time Series and Open Table DBs to produce platform products used by our customers to query our event pipelines/ingestion for insight into active threat trends and related analytics

Design, develop, and maintain ultra-high-scale data platforms that process petabytes of data

Participate in technical reviews of our products and help us develop new features and enhance stability

Continually help us improve the efficiency and reduce latency of our high-performance services to delight our customers

Research and implement new ways for both internal stakeholders as well as customers to query their data efficiently and extract results in the format they desire

What You'll Need:

BS in technical field (CS, IT, Computer Engineering...) OR commensurate (4+ years) experience

10(+) years' experience combined between backend/cloud development and data platform engineering roles

5+ years of experience building either data platform product(s) or features with (one of) Apache Spark, Flink or Ray, ‘OR’ building any at-scale custom implementation of cloud-based Time Series, OLAP or Open Table format DB such as Pinot, Clickhouse, Druid or Iceberg

5+ years of experience programming with Java, Scala or Kotlin (python okay as an alternative provided experience with the above)

In-depth knowledge of performance tuning either of any JVM (Java, Kotlin, Scala) language or of relevant Apache Systems (Spark, Flink, Ray, Pinot, Druid, Iceberg…)

Proven experience owning robust feature/product design end to end, yourself, especially with vaguely defined problem statements or only 'loose' specs leading the way.

Proven expertise with algorithms, distributed systems design and the software development lifecycle

Experience building large scale data/event pipelines

Expertise designing solutions with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra, DynamoDB

Good test driven development discipline

Reasonable proficiency with Linux administration tools

Proven ability to work effectively with remote teams

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Bonus Points:

Go

Pinot or other time-series/OLAP-style database

Iceberg

Kubernetes

Jenkins

Parquet

Protocol Buffers/GRPC

#LI-Remote

#LI-MP1

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

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 recruiting@crowdstrike.com for further assistance.

Find out more about your rights as an applicant.

CrowdStrike participates in the E-Verify program.

Notice of E-Verify Participation

Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.

For detailed information about the U.S. benefits package, please click here.