- The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products.
- We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation,
publishing and maintenance of logical and physical data models that support various OLTP and analytics environments.
- You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics
- Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products
- You will solve complex, engaging challenges, and improve the depth and breadth of your technical and business skills.
What you will be doing
- Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security.
- Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments.
- Apply MLOps best practices to deploy and monitor machine learning models in production.
- Collaborate with cloud architects and security analysts to develop cloud-native secur