Senior Cloud Analytics Platform Engineer - AI-Driven Security

CrowdStrike; Sunnyvale (CA); Hybrid; USD 140,000 - 215,000; Full time

Benefits offered by this job

Market-leading compensation

Wellness programs

Generous vacation

Parental leave

Professional development

Employee networks

Vibrant office culture

Great Place to Work certification

Job summary

CrowdStrike is seeking a senior data engineer to join the data engineering team. You will own large-scale data pipelines and contribute to a hyper-scale data lake, graphdb, and time-series components supporting analytics, ML, and threat hunting. Expect to work with Java microservices, Spark/Scala data processing, and Kubernetes on AWS.

Based in multiple U.S. locations including Sunnyvale, Redmond, Austin or NYC, the role involves 2–3 days in-office weekly and broad collaboration across remote

Qualifications

• BS in CS, IT or Computer Engineering or 4+ years' equivalent experience.
• 10+ years' experience in backend/cloud and data platform engineering roles.
• 5+ years building data platforms or features with Spark, Flink or Ray or at-scale DB like Pinot, Druid, Iceberg.
• 5+ years Java/Scala/Kotlin (Python allowed if experienced with above).
• Deep knowledge of JVM performance tuning or Apache systems (Spark, Flink, Ray, Pinot, Druid, Iceberg).
• Proven ownership of robust feature/product design end-to-end with vague specs.
• Experience with algorithms, distributed systems and SDLC.
• Experience building large-scale data/event pipelines.
• Expertise with relational SQL and NoSQL databases (Postgres/MySQL, Cassandra, DynamoDB).
• Good TDD discipline; Linux administration proficiency.
• Proven ability to work with remote teams.
• Experience using AI technologies to enhance decision-making.

Responsibilities

• Write fault-tolerant Java code within Spark, Flink and custom OLAP/Time Series DBs for platform products.
• Design and maintain ultra-high-scale data platforms processing petabytes of data.
• Participate in technical reviews and help develop new features and stability.
• Improve efficiency and reduce latency of high-performance services.
• Research and implement efficient ways to query data and deliver results to stakeholders.

Skills

Java

Scala

Kubernetes

Spark

Flink

AWS

SQL

NoSQL

Distributed systems

Data pipelines

Education

BS in CS/Engineering

Tools

Pinot

Clickhouse

Druid

Iceberg

Kubernetes

Ray

Parquet

Job description

CrowdStrike is seeking a senior data engineer to join the data engineering team. You will own large-scale data pipelines and contribute to a hyper-scale data lake, graphdb, and time-series components supporting analytics, ML, and threat hunting. Expect to work with Java microservices, Spark/Scala data processing, and Kubernetes on AWS.

Based in multiple U.S. locations including Sunnyvale, Redmond, Austin or NYC, the role involves 2–3 days in-office weekly and broad collaboration across remote