Build and maintain the company’s data governance framework, ensuring data quality, standardization, and reliability across business units.
Responsibilities
Utilize data governance tools such as DataHub or Collibra to scan and manage metadata from databases (e.g., MySQL) and build an enterprise-level data catalog.
Define and implement automated data quality rules using data quality tools to ensure the reliability and availability of core data.
Design, implement, and validate tracking strategies (using tools like Sensors Data, GrowingIO, or in-house systems) across business modules to ensure that tracking data is accurate and traceable.
Participate in creating and promoting database design standards (naming conventions, indexes, comments, table structures, etc.) to improve development consistency.
Classify business databases, label primary/replica/sensitive tables, and establish a Master Data (Golden Source) system.
Requirements
Bachelor’s degree or above in Computer Science, Software Engineering, or related data disciplines
Technical authority and strategic lead for the Advanced WildFire charter, bridging the gap between deep engineering innovation and global market adoption for AI-powered malware prevention solutions.
Compensation
$159,000.00 - $255,000.00/yr
Responsibilities
Develop and own the global technical marketing strategy for Advanced WildFire
Translate competitive telemetry and 'in-the-wild' threat data into actionable product requirements
Serve as a premier industry thought leader, evangelizing WildFire’s Precision AI and malware prevention strategies
Oversee the creation of high-quality, architect-level collateral including slide ware, solution guides, and white papers
Collaborate with Product Managers and Engineering leaders to define PRDs and influence the roadmap
Lead and operate large-scale, global production environments across multiple cloud providers, monitor incidents, troubleshoot complex distributed systems, design and improve monitoring and observability, collaborate with internal teams, and develop automation and tooling.
Responsibilities
Own and operate large-scale, global production environments across multiple cloud providers
Actively monitor, investigate, and resolve incidents triggered by automated alerting systems
Drive end-to-end troubleshooting across complex, distributed systems
Design, deploy, and improve monitoring and observability systems
Collaborate closely with internal teams to ensure system reliability and performance
As a Machine Learning Engineer on our Internet Security Research Team, you will be a key innovator transforming ideas into products for our next-generation security platform, detecting and defending against emerging web security threats.
Responsibilities
Perform in-depth data analysis to deeply understand security data and the threat domain.
Design, train, and evaluate machine learning algorithms to significantly improve the analytical performance of threat detection models.
Build and productionize machine learning models and develop the distributed systems that utilize them to analyze and categorize enormous volumes of URLs.
Design and build robust, scalable machine learning systems, carefully balancing cost with model performance.
Establish automated training pipelines and develop data analytics tools to incrementally enhance model performance on a growing dataset.
Requirements
MS or PhD in Machine Learning, Computer Science, Data Science, or a related field
Build, integrate and deploy full-stack software for mission-focused systems that coordinate autonomous platforms, working closely with specialists in sensing, AI and robotics.
Locations (4)
Washington, District of Columbia, United States
New York City, New York, United States
Palo Alto, California, United States
Seattle, Washington, United States
Compensation
Base salary: USD 135,000 to 200,000 per year
Responsibilities
Build, test, integrate and deploy critical full-stack software for controlling multi-modal autonomous systems.
Own the backend services that handle payment flows and identity checks as a product moves into live production use. The work covers security, reliability, compliance controls and performance.
Compensation
Base salary: USD 140,000 to 300,000 per year
Responsibilities
Build protective controls into the code itself, keeping sensitive card data scope small and covering credentials, permissions, activity records and attack analysis.
Manage cloud infrastructure as code, along with automated build and deployment pipelines, staged releases and rollback procedures.
Ensure payment authorization, settlement and reconciliation logic is safe to retry, traceable and easy to recover.
Set and monitor reliability targets, add instrumentation, prevent outages and write clear operational runbooks.
Improve response times on the transaction path and reduce the cost of each transaction.
Data Engineer - Data GoveranceNewFuku · Singapore, Singapore