Today, there's 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 market-leading cloud security company and an award-winning 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 at Netskope 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.
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
#LI-NN1
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 to Netskope's Privacy Policy for more details.
