Sr. Software Engineer, Backend - N/A, United States - CrowdStrike, Inc.

Description

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.

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

What You'll Need:

• 10+ years or MS degree with 8+ years combined between backend and data engineering roles
• 3+ years of 'backend' software development experience, bonus points if with Java, Scala or Kotlin.
• 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

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Experience with the Following is Desirable:

• Go
• Pinor or other time-series/OLAP-style database
• Kubernetes
• Jenkins
• Parquet
• Protocol Buffers/GRPC

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