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
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
- Prior experience designing and building efficient data pipelines for batch and real-time processing using technologies such as Kafka, PubSub, Kinesis, Postgres etc.
- Prior experience building & operating highly reliable RPC services e.g. based on gRPC, and strong knowledge of serialization formats (e.g., ProtoBuf)
- Solid grasp of distributed storage systems (e.g. S3), including their consistency models, scaling properties and efficient data serialization techniques (e.g., Parquet, ORC)
- Proficient in Golang, Java, or similar languages, Kubernetes and Linux
- 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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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.
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