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About the job
About The Role
The data platform engineering team owns the central data architecture for our core offerings, as well as several product-ized query and analytics platforms used to draw analysis from massive event pipelines delivering telemetry on attack events in customer environments, and more.
We are on a mission to create a new 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 (maybe 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.
What You'll Do
- Build highly fault-tolerant Java and Scala services in a highly event-driven environment.
- You build it, you run it – End to end ownership of services you write
- Design, develop, and maintain a data platform that processes 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 of our services so that we can delight our customers
- Help us 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
- 14+ years or MS degree with 12+ years combined between backend and data engineering roles
- 5+ years of ‘backend’ software development experience, bonus points if with Java, Scala or Kotlin.
- Proven expertise writing microservices in an event-driven product architecture
- Proven expertise with algorithms, distributed systems design and the software development lifecycle
- Strong familiarity with the Apache Hadoop ecosystem (Spark, Kafka, Hive, Apache Presto, etc.)
- Experience building large scale data/event pipelines
- Experience 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
- Go
- Pinor or other time-series/OLAP-style database
- Kubernetes
- Jenkins
- Parquet
- Protocol Buffers/GRPC
#HTF
Benefits Of Working At CrowdStrike
- Remote-first culture
- Market leader in compensation and equity awards
- Competitive vacation and flexible working arrangements
- Comprehensive and inclusive health benefits
- Physical and mental wellness programs
- Paid parental leave, including adoption
- A variety of professional development and mentorship opportunities
- Offices with stocked kitchens when you need to fuel innovation and collaboration
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 Recruiting@crowdstrike.com for further assistance.
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. The base salary range for this position in the U.S. is $160,000 - $240,000 per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location.
CrowdStrike Canada ULC is committed to fair and equitable compensation practices. The base salary range for this position in Canada is $150,000 - $250,000 CAD per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location.