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.

By bringing together zero trust security with network optimization, Netskope Borderless WAN allows customers to confidently provide secure, high-performance access to every remote user, device, site, and cloud. It also simplifies the on-boarding of traffic to the Netskope Security Cloud and NewEdge network, so customers can on-board more quickly and efficiently.

What's in it for you

The BWAN 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 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 analytics and OLTP environments.

What you will be doing

• Lead scaling initiatives for our backend services, identifying bottlenecks and implementing solutions to support our growing traffic and user base.
• Mentor and guide a small team of engineers, providing technical leadership through code reviews, design discussions, and hands-on collaboration
• Design and build new Go services when business needs arise, establishing patterns and practices that other teams can follow
• Champion code quality improvements through better testing strategies, refactoring initiatives, and development tooling
• Improve service reliability and uptime by implementing robust monitoring, implementing graceful degradation patterns, and addressing systemic issues
• Work closely with product, infrastructure, and other engineering teams to understand requirements and deliver solutions that meet both technical and business objectives
<