Sr. Staff Engineer Software (Strata Logging Service)
About The Position
Your Career Strata Logging Service (SLS) powers advanced cybersecurity innovations by providing a unique capability to normalize and correlate data across the entire enterprise. SLS can: Radically simplify customer security operations by collecting, integrating, and normalizing an enterprise’s security data Easily run advanced analytics at cloud scale, supported by the data and compute power you need Constantly learns from new data sources to evolve customer defenses SLS is built to benefit from public cloud scale and locations ready for elastic scale, eliminating the need for local compute and storage. SLS has strict privacy and security controls in place to prevent unauthorized access to sensitive or identifiable information. Its infrastructure is secured with industry-standard best practices for security and confidentiality, including rigorous technical and organizational security controls. Your Impact Tackle new and challenging problems by building a new generation of highly scaled data processing and analytics systems Contribute in architecture, design and development of features Solve complex problems in pipeline scaling and data storage to facilitate dashboards Suggest and implement improvements to the development processes Work with DevOps and Technical Support teams to investigate and resolve critical customer defects
Requirements
- Must have 5+ years of hands-on experience in building large enterprise applications
- Must have extensive hands-on programming skills in Java and distributed systems
- Deep understanding of design patterns
- Good communication skills and ability to work in a fast-paced environment
Nice To Haves
- Strong knowledge of databases SQL, NoSQL, Time series, GraphDB etc
- Experience with one or more cloud platforms such as AWS, GCP , their services (DataFlow, BQ, Athena etc) and Kubernetes
- Knowledge of Linux fundamentals and networked computing environment concepts
Responsibilities
- Tackle new and challenging problems by building a new generation of highly scaled data processing and analytics systems
- Contribute in architecture, design and development of features
- Solve complex problems in pipeline scaling and data storage to facilitate dashboards
- Suggest and implement improvements to the development processes
- Work with DevOps and Technical Support teams to investigate and resolve critical customer defects
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
