Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.
At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.
Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.
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.
We are seeking skilled engineers to build scalable distributed systems and integrate agentic AI and conversational analytics. As a Senior Staff Engineer, you will lead the architecture, data modeling, and core infrastructure powering our next-generation AI and analytics platforms.
- Architect, develop, and deploy global-scale distributed platforms and pipelines for massive data ingestion, transformation, and analytical reporting.
- Design and refine backend infrastructure supporting Agentic AI workflows, autonomous systems, and conversational analytics with natural language interfaces.
- Partner with application teams to define data strategies and durable conceptual models spanning OLTP/OLAP and generative AI architectures (e.g., RAG).
- Evaluate data integration challenges and deliver optimized architectural solutions for complex business requirements.
- Research emerging AI techniques and advanced machine learning methodologies to continuously enhance data design patterns.
- Provide technical leadership and mentorship across the project lifecycle, focusing on efficient data modeling, prompt engineering, and high-performance data access services.
- At least 8 years of hands-on experience in architecture, design, or development of enterprise data solutions, applications, and integrations.
- Proven experience designing and deploying Agentic AI systems and working with AI application frameworks.
- Strong communication, presentation, and interpersonal skills with the ability to articulate complex concepts clearly.
- Bachelor or Master degree in STEM majors.
- Strong algorithms, data structures, and coding background with either Java, Python, or Scala programming experience (Python highly preferred for AI/ML ecosystem compatibility).
- Exceptional proficiency in SQL, alongside familiarity with semantic search and Natural Language to SQL paradigms.
- Experience building products using at least 1 of each of the following distributed technologies:
- Relational Stores (i.e. Postgres, MySQL, or Oracle)
- Columnar, NoSQL, or Vector Stores (i.e. Starrocks, Clickhouse, BigQuery, Pinecone or pgvector)
- Distributed Processing Engines (i.e. Apache Spark, Apache Flink)
- Distributed Queues (i.e. Apache Kafka, AWS Kinesis, or GCP PubSub) - Experience with software engineering standard methodologies (e.g., unit testing, code reviews, design documents).
- Experience working with GCP, Azure, AWS, or similar cloud platform technologies.
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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.
The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.
Skills Required
- At least 8 years of hands-on experience in architecture, design, or development of enterprise data solutions, applications, and integrations
- Experience designing and deploying Agentic AI systems and working with AI application frameworks
- Strong communication, presentation, and interpersonal skills
- Bachelor's or Master's degree in a STEM major
- Strong algorithms, data structures, and coding experience with Java, Python, or Scala; Python preferred
- Exceptional SQL proficiency
- Familiarity with semantic search and natural-language-to-SQL paradigms
- Experience with relational stores such as Postgres, MySQL, or Oracle
- Experience with columnar, NoSQL, or vector stores such as StarRocks, ClickHouse, BigQuery, Pinecone, or pgvector
- Experience with distributed processing engines such as Apache Spark or Apache Flink
- Experience with distributed queues such as Apache Kafka, AWS Kinesis, or GCP Pub/Sub
- Experience with software engineering methodologies including unit testing, code reviews, and design documents
- Experience with GCP, Azure, AWS, or similar cloud platforms
Netskope Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Netskope and has not been reviewed or approved by Netskope.
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Fair & Transparent Compensation — Pay is considered competitive in U.S. technical roles, with indications that total compensation benchmarks strongly versus peers. Employees are generally pleased with total compensation that includes pay, stock, equity, and benefits.
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Healthcare Strength — Health coverage offers multiple medical plan choices alongside dental, vision, disability, HSA/FSA, and EAP, and is often characterized as very good. Employer-verified plan options and regional choices reinforce the breadth and quality of coverage.
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Leave & Time Off Breadth — Time off includes flexible/unlimited PTO, paid holidays, and quarterly wellness days that support rest and flexibility. Paid parental leave is available, commonly cited at 12 weeks for birth parents and 8 weeks for non‑birth parents.
Netskope Insights
What We Do
Netskope, the SASE leader, safely and quickly connects users directly to the internet, any application, and their infrastructure from any device, on or off the network. With CASB, SWG, and ZTNA built natively in a single platform, the Netskope Security Cloud provides the most granular context, via patented technology, to enable conditional access and user awareness while enforcing zero trust principles across data protection and threat prevention everywhere. Unlike others who force tradeoffs between security and networking, Netskope’s global security private cloud provides full compute capabilities at the edge. Netskope is fast everywhere, data-centric, and cloud-smart, all while enabling good digital citizenship and providing a lower total-cost-of-ownership.
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