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.
The Data Platform team is uniquely positioned at the intersection of security, big data and cloud computing. We are responsible for providing ultra low-latency access to global security insights and intelligence data to our customers, and enabling them to act in near real-time. We’re looking for a seasoned engineer to help us build next-generation data pipelines that provide near real-time ingestion of security insights and intelligence data using cloud and open source data technologies
What's in it for you
- You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics
- Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products
- You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills.
What you will be doing
- Building next generation data pipeline for near real-time ingestion of security insights and intelligence data
- Partnering with industry experts in security and big data, product and engineering teams to conceptualize, design and build innovative solutions for hard problems on behalf of our customers.
- Evaluating open source technologies to find the best fit for our needs and also contributing to some of them!
- Helping other teams architect their systems on top of the data platform and influencing their architecture.
Required skills and experience
- Expertise in architecture and design of highly scalable, efficient and fault-tolerant data pipelines for near real-time and real-time processing
- Strong diagnostic and problem-solving skills with a demonstrated ability to invent and simplify complex problems into elegant solutions.
- Extensive experience designing high-throughput, low-latency data services using gRPC streaming and performance optimizations
- Solid grasp of serialization formats (e.g., Protocol Buffers, Avro), network protocols (e.g., TCP/IP, HTTP/2), and security considerations (e.g., TLS, authentication, authorization) in distributed environments.
- Deep understanding of distributed object storage systems like S3, GCS etc, including their architectures, consistency models, and scaling properties.
- Deep understanding of data formats like Parquet, Iceberg etc, optimized partitioning, sorting, compression, and read performance.
- Expert level proficiency in Golang, Java, or similar languages with strong understanding of concurrency, distributed computing and system-level optimizations
- Cloud-native data infrastructure experience with AWS, GCP etc is a huge plus
- Proven ability to influence technical direction and communicate with clarity.
- Willingness to work with a globally distributed team in different time zones.
Education
- BSCS or equivalent required, MSCS or equivalent strongly preferred
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