Sr. Staff Engineer, DEM

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. 

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.  Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.

About the role

Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.

The Digital Experiment Management (DEM) product unifies real user monitoring (RUM) and synthetic monitoring—leveraging SMART (Synthetic Monitoring Augmentation for Real Traffic)—to provide end-to-end visibility into performance from endpoint to application. It integrates tightly with Netskope’s SASE infrastructure, offering proactive detection, automated remediation workflows, and deep diagnostics.

We are looking for skilled backend engineers with ML exposure to work on the DEM scoring mechanism, automatic RCA analysis and anomaly detection service. You’ll develop and scale cloud‑native systems that deliver deep visibility and AI-driven insights into network and application performance across SASE environments. You’ll work at the intersection of big data, networking, and cloud security, providing infrastructure that powers data ingestion, analytics, and proactive remediation for enterprise customers.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 enhance the digital experience of the NetSkope customers.

What's in it for you

• 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, interesting challenges, and improve the depth and breadth of your technical and business skills.

What you will be doing

• 10 - 15 years of experience in the IT Industry.
• Drive the end-to-end development and scoring mechanism along with  automatic RCA analysis and anomaly detection service . This will involve designing and implementing complex interactions between various AI agents & tools to deliver seamless, context-aware assistance across our product suite
• Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments.
  
  
• Apply MLOps & LLMOps best practices to deploy and monitor machine learning models & agentic workflows in production.  
• Implement comprehensive evaluation and observability strategies for the CoPilot
• Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security. 
• Collaborate with cloud architects and security analysts to develop cloud-native security solutions for AWS. 
• Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats. 
• Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards. 
• Drive innovation by integrating the latest AI/ML techniques into security products and services. 
• Mentor junior engineers and provide technical leadership across projects.
   

Required skills and experience

• Backend engineer:
• Design, develop, and maintain backend services, APIs, and databases for scalable and secure applications.
• Optimize system performance, reliability, and scalability to support high-traffic workloads.
• Collaborate with frontend, DevOps, and product teams to deliver end-to-end features.
• Implement best practices for code quality, testing, and deployment in a CI/CD environment.
• ML Expertise
• Collaborate with ML engineers and data scientists to integrate ML models for predictive insights into backend systems.
• Build data pipelines and storage systems optimized for time-series and event-based data processing.
• Implement monitoring and alerting systems to support automated detection and RCA of anomalies in production systems.
• Software Engineering
• Expertise in Python with experience in one other language (C++/Java/Go) for data and ML solution development.
• Expertise in scalable system design and performance optimization for high-throughput applications.
• Experience of building & consuming MCP clients & servers.
• Experience with asynchronous programming, including web-sockets, FastAPI, and Sanic.

Good-to-Have Skills and Experience

• ML Expertise
• Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection.
• Experience with AI frameworks like Pytorch, TensorFlow and Scikit-learn.
• Data Engineering
• Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing.
• Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery.
• Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake.
• Graph database knowledge is a plus.
• Cloud and Security Knowledge
• Strong understanding of cloud platforms (AWS, Azure, GCP) and their services.
• Experience with network security concepts, extended detection and response, and threat modeling.

Education

• BS CS or equivalent required, MS CS or equivalent strongly preferred

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