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
Participate in technical planning and roadmap discussions, helping shape the evolution of our backend architecture

Required skills and experience

8+ years of professional software engineering experience with at least 4 years building production backend services in Go
Deep expertise with gRPC including service design, performance optimization, and debugging complex distributed systems issues
Proven track record scaling backend services to handle significant traffic growth while maintaining low latency and high availability
Strong understanding of service reliability practices including monitoring, alerting, incident response, and post-mortem analysis
Experience implementing and enforcing code quality standards through automated testing, code review practices, and CI/CD pipelines
Solid grasp of distributed systems concepts: consistency models, fault tolerance, load balancing, and service mesh architectures
Proficiency with observability tooling (distributed tracing, metrics, structured logging) to diagnose production issues
Excellent written and verbal communication skills


Good to have:
Experience with Kubernetes and container orchestration at scale
Background with streaming platforms or message queuing systems
Knowledge of Protocol Buffers schema evolution and API versioning strategies
Understanding of cloud platforms (AWS, GCP, Azure) and their managed services for high-availability architectures
Experience with ADR and other product processes
Prior experience working in a distributed (remote) team environment

Education

BS or MS in Computer Science or equivalent training/knowledge

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