Sr. Software Engineer, IoT Data Engineering

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.

Netskope One SASE combines Netskope’s market-leading Intelligent SSE with its next-generation Borderless SD-WAN to protect users, applications, and data everywhere with AI-powered zero trust security, while providing fast, reliable access and optimized connectivity to any application from any network location or device, including IoT– at scale.

Click here to learn more about Netskope IoT Security.

What's in it for you

As a member of the IoT Security Team you will be working on some of the most challenging problems in the field of zero trust and IoT security. You will play a key role in the design, development, evolution and operation of a system that analyzes hundreds of parameters from discovered devices and leverages our rich contextual intelligence for device classification, risk assessment, granular access control and network segmentation.

What you will be doing

• Contributing to design and development, scaling and operating Netskope IoT Security.
• Identifying and incorporating emerging technologies and best practices to the team.
• Refining existing technologies to make the product more performant
• Ownership of all cloud components and drive architecture and design.
• Engaging in cross functional team conversations to help prioritize tasks, communicate goals clearly to team members, and overall project delivery.

Required skills and experience

• Experience building and optimizing 'big data' data pipelines, architectures and data sets
• Strong background in developing on linux platforms ( centos and ubuntu)
• Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
• Experience using the following software/tools: Big data tools: Spark, Kafka, etc,
• Experience with non-SQL databases like MongoDB, Elasticsearch etc.
• Experience with Kafka, microservices and cloud technologies
• Familiar and experience in Machine Learning & Data Science techniques, security applications and/or adjacent domains
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• IOT security experience preferred. Security solutions experience needed
• Strong analytic skills related to working with deeply nested, semi-structured (e.gJSON) data as well as unstructured data
• A successful history of manipulating, processing and extracting value from large disconnected datasets
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience with creating simple web UIs
• Data pipeline and workflow management tools: Kubernetes, Azkaban, Luigi, Airflow, etc
• Experience in a Data Engineer role.

Education

Bachelors degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field required, Masters degree strongly preferred.

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