About 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 system design. 

Required skills and experience

• Proven track record of building and operating highly scalable and fault-tolerant data processing systems.
• Ability to design efficient data pipelines for batch and real-time processing, with a focus on data ingestion from and egress to various storage systems.
• Extensive experience designing, implementing, and debugging various RPC mechanisms like gRPC
• Solid grasp of serialization formats (e.g., Protocol Buffers, Avro, JSON), network protocols (e.g., TCP/IP, HTTP/2), and security considerations (e.g., TLS, authentication, authorization) in distributed environments.
• Ability to optimize RPC performance, handle latency, and ensure reliability in the face of network issues.
• Experience with distributed storage systems (e.g., HDFS, object storage like S3, distributed databases), including their architectures, consistency models, and scaling properties.
• Familiarity with data compression and serialization techniques relevant to storage efficiency (e.g., Parquet, ORC).
• Proficient in Golang, Java, or similar languages with strong data structure and algorithm expertise.
• Excellent written and verbal communication skills
• 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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