Sr. Manager, Quality Engineering
About The Position
Netskope is a cloud security company that redefines Cloud, Network and Data Security. Founded in 2012, Netskope has built the market-leading cloud security company and an award-winning culture. The Data Engineering team at Netskope is at the forefront of security, big data, and cloud computing, processing nearly 1PB of data daily with 99.99% uptime to deliver near real-time security insights. This role involves leading the Quality organization for this core data infrastructure, focusing on a modern, embedded quality engineering approach within development squads. The role also includes leading a platform tooling team responsible for CI/CD gates, contract-testing infrastructure, and chaos templates to enable faster, independent team movement while setting technical standards and career paths.
Requirements
- 4+ years of management experience leading distributed teams of 10+ people.
- A track record of building modern testing strategies and automation frameworks.
- Deep experience with data systems like Postgres, Clickhouse, Trino, Spark, Iceberg, Kinesis, Kafka, and cloud-native architectures.
- Strong familiarity with AI-driven tooling, including evaluating AI-generated tests and code quality.
- Great communication skills—comfortable influencing others and explaining quality goals to both technical and non-technical audiences.
- BSCS degree or equivalent required.
Nice To Haves
- Experience with contract/consumer-driven testing or chaos engineering is a big plus.
- Prior hands-on experience in a Senior IC role is preferred.
- MSCS or equivalent strongly preferred.
Responsibilities
- Lead and mentor 10+ engineers, fostering a culture of shared ownership.
- Define the quality strategy and standards using DORA metrics (e.g., deployment frequency, MTTR) instead of legacy QA metrics.
- Guide teams in designing automation frameworks, contract-based testing, and resilience strategies for complex systems.
- Oversee the rollout of AI-augmented testing, including LLM-driven test generation and evaluation frameworks for AI products.
- Establish standards for data integrity and system reliability.
- Collaborate with Engineering, Product, and Program Management to ensure quality is integrated into the architecture from the start.
- Assist with production deployments and lead root-cause analysis for production issues.
- Act as a champion for quality and customer success across the organization, building trust through influence.
Benefits
- Comprehensive health plan
- Other benefits that can be reviewed at Netskope Benefits site
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What This Job Offers
Job Type
Full-time
Career Level
Manager
