About the position
We are looking for Principal Engineer Software to be a part of the group that owns our multi-cloud Big Data pipelines that ingest, process, stream & store multi-tenant data at Petabyte scale for use by AI/ML applications in our industry leading cybersecurity products. You will tackle new and challenging problems in building a new generation of highly scaled data processing and analytics system for use in AI-powered use cases. You will collaborate with cross-functional teams to address complex technical challenges and drive innovation. You will ensure the adoption of best practices in code quality, scalability and system design among team members. You will contribute in architecture, design and development of features. You will work with DevOps and Technical Support teams to investigate and resolve critical customer defects.
Responsibilities
- Build and maintain multi-cloud Big Data pipelines.
- Ingest, process, stream & store multi-tenant data at Petabyte scale.
- Collaborate with cross-functional teams to address complex technical challenges.
- Drive innovation in data processing and analytics systems.
- Ensure best practices in code quality, scalability, and system design.
- Contribute to architecture, design, and development of features.
- Work with DevOps and Technical Support teams to resolve critical customer defects.
Requirements
- BS in Computer Science, equivalent knowledge, or equivalent military experience required.
- 8+ years of software engineering experience required.
- Coding experience in Java at your current job required.
- Experience in designing, coding, and maintaining systems built with scalable distributed systems architecture required.
- Experience with one or more cloud platforms such as AWS or GCP and their services (DataFlow, BigQuery, Athena etc) preferred.
- Experience with a variety of database technologies (Mysql, Cassandra, ElasticSearch, etc).
Benefits
- FLEXBenefits wellbeing spending account with over 1,000 eligible items.
- Mental and financial health resources.
- Personalized learning opportunities.
