Staff Engineer Data Engineering
Staff Engineer Data Engineering
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
About Netskope
Today theres 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 marketleading cloud security company and an awardwinning 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 atNetskope 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 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 realworld data problems and provide our customers with accurate realtime fault tolerant solutions to their evergrowing 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 cloudscale distributed systems to develop our nextgeneration ingestion processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle realworld data problems. Our customers depend on us to provide accurate realtime and fault tolerant solutions to their ever growing data needs. This is a handson impactful role that will help lead development validation publishing and maintenance of logical and physical data models that support various OLTP and analytics environments.
Whats 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 customerbase and across the industry through our marketleading products
- You will solve complex interesting challenges and improve the depth and breadth of your technical and business skills.
What you will be doing
Lead the design development and deployment ofAI/ML models for threat detection anomaly detection and predictive analytics in cloud and network security.
Architect and implement scalable data pipelines for processing largescale datasets from logs network traffic and cloud environments.
ApplyMLOps best practices to deploy and monitor machine learning models in production.
Collaborate with cloud architects and security analysts to develop cloudnative security solutions leveraging platforms like AWS Azure or GCP.
Build and optimizeRetrievalAugmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for realtime contextaware applications.
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
AI/ML Expertise
- Proficiency in advanced machine learning techniques including neural networks (e.g. CNNs Transformers) and anomaly detection.
- Experience with AI frameworks like TensorFlow PyTorch and Scikitlearn.
- Strong understanding of MLOps practices and tools (e.g. MLflow Kubeflow).
- Experience building and deploying RetrievalAugmented Generation (RAG) systems including integration with LLMs and vector databases.
Data Engineering
- Expertise designing and optimizing ETL/ELT pipelines for largescale data processing.
- Handson experience with big data technologies (e.g. Apache Spark Kafka Flink).
- Proficiency in working with relational and nonrelational databases including ClickHouse and BigQuery.
- Familiarity with vector databases such as Pinecone and PGVector and their application in RAG systems.
- Experience with cloudnative data tools like AWS Glue BigQuery or Snowflake.
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.
Software Engineering
- Proficiency in Python Java or Scala for data and ML solution development.
- Expertise in scalable system design and performance optimization for highthroughput applications.
Leadership and Collaboration
- Proven ability to lead crossfunctional teams and mentor engineers.
- Strong communication skills to present complex technical concepts to stakeholders.
Education
- BSCS or equivalent required MSCS or equivalent strongly preferred
#LIDB1
Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion race color sex marital or veteran statues age national origin ancestry physical or mental disability medical condition sexual orientation gender identity/expression genetic information pregnancy (including childbirth lactation and related medical conditions) or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.
Netskope respects your privacy and is committed to protecting the personal information you share with us please refer toNetskopes Privacy Policyfor more details.
Required Experience:
Staff IC
Employment Type
Full-Time
