Sr Engineering Manager AIML Cloud Security Data Engineering
Sr Engineering Manager AIML Cloud Security Data Engineering
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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.
Whats in it for you
We are seeking an experienced Senior Manager to lead and drive initiatives at the intersection of AI/ML cloud security data engineering and network security. This role combines leadership collaboration and technical expertise to design innovative AIdriven solutions manage highimpact projects and guide teams in solving complex security challenges in cloud environments. You will be instrumental in ensuring project success driving crossfunctional collaboration and aligning solutions with business goals.
What you will be doing
- Lead crossfunctional teams in the design development and deployment of AI/ML models for threat detection anomaly detection and predictive analytics in cloud and network security.
- Oversee the architecture and implementation of scalable data pipelines for processing largescale datasets from logs network traffic and cloud environments.
- Manage the application of MLOps best practices to ensure efficient deployment and monitoring of machine learning models in production.
- Collaborate with cloud architects security analysts and other stakeholders to deliver cloudnative security solutions leveraging platforms like AWS Azure or GCP.
- Guide the development of RetrievalAugmented Generation (RAG) systems integrating large language models (LLMs) with vector databases to enable realtime contextaware applications.
- Establish strong project management frameworks to ensure timely delivery of highquality solutions that align with organizational objectives.
- Analyze network traffic log data and telemetry to identify and mitigate cybersecurity threats.
- Ensure data quality integrity and compliance with industry standards and regulations such as GDPR HIPAA or SOC 2.
- Foster a culture of innovation by driving the integration of the latest AI/ML techniques into security products and services.
- Act as a mentor and coach for technical staff developing talent within the team and promoting a collaborative work environment.
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 such as TensorFlow PyTorch and Scikitlearn.
- Strong understanding of MLOps tools and practices (e.g. MLflow Kubeflow).
- Demonstrated experience building and deploying RAG systems integrating LLMs and vector databases for realworld applications.
Data Engineering
- Expertise in designing and optimizing ETL/ELT pipelines for processing largescale data.
- Handson experience with big data technologies such as Apache Spark Kafka and Flink.
- Proficiency in relational and nonrelational databases including ClickHouse and BigQuery.
- Familiarity with vector databases like Pinecone and PGVector and their application in RAG systems.
- Experience with cloudnative data tools such as AWS Glue BigQuery or Snowflake.
Cloud and Security Knowledge
- Deep understanding of cloud platforms (AWS Azure GCP) and their security services.
- Expertise in network security concepts extended detection and response (XDR) and threat modeling.
Software Engineering
- Proficiency in programming languages such as Python Java or Scala for building data and ML solutions.
- Proven expertise in designing scalable systems and optimizing performance for highthroughput applications.
- Leadership Collaboration and Project Management
- Proven ability to lead and manage crossfunctional teams fostering collaboration across engineering product and security functions.
- Experience in translating complex technical requirements into actionable project plans managing timelines resources and risks effectively.
- Strong interpersonal and communication skills to present technical concepts clearly to stakeholders at all levels.
- Ability to influence and align stakeholders across teams and drive consensus on technical and strategic decisions.
Preferred Qualifications
- Handson experience in cybersecurity particularly in incident response or threat hunting.
- Familiarity with SIEM platforms and cybersecurity compliance standards such as GDPR or SOC 2.
- Contributions to research patents or publications in AI/ML RAG systems or cybersecurity.
Education
- BSCS or equivalent required MSCS or equivalent strongly preferred
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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.
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Required Experience:
Manager
Employment Type
Full Time
