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Quality Engineering Lead - Cloud Data Security - DSPM - San Francisco Bay Area

Normalyze
San Francisco Bay Area, CA, United StatesRemotefull_timeVerifiedPosted 11 Jul 2024

About the role

Quality Engineering Lead Normalyze is a venture-backed fast growing cybersecurity software company and we were recently recognized with 2024 Cybersecurity Excellence awards for Data Security Posture Management (DSPM) and Best Data Security Company. We are looking to hire a Quality Engineering Lead who will be an integral part of our team, leading the efforts of quality assurance across multiple product areas. This role will be the first hire in the Quality team and will be hands-on. This role will focus on centralizing the QA across the product features, and take up responsibility in keeping our test automation coverage at higher levels.  You will work with our development teams as they utilize our test automation framework and tools to test their software before deployment. You’ll have the opportunity to be the technical lead for ensuring high product quality, being part of the release process. You will also work closely with other teams as we identify products, features, and areas that will need to be supported with new test automation tests or extending our framework.
You'll join an exceptional engineering team, offering unparalleled opportunities for learning and growth. You'll be immersed in the latest and most advanced technology stack. We value swift delivery and ensuring that your work has a tangible and immediate impact. This role is not just a job; it's a pathway to advancing your career and becoming a recognized expert in cloud security. If you want to be at the forefront of cloud security, and want to work with an excellent engineering team to learn and grow your career, this may be THE opportunity you are looking for.

Experience

  • 8+ years of Software QA experience working on Enterprise Security or networking
  • Expert level Experience with REST API driven automation using Python/Javascript
  • Experience with Public cloud compute/networking expertise with at least one of AWS/GCP/Azure
  • Experience in acting as a QA technical lead for SaaS product is plus
  • Provide thorough Technical Leadership in the areas of Security, Data Security,  Cloud Based Orchestration, Cloud delivered Security, Cloud Networking and Automation Design
  • Ability to build emulation tools for testing public cloud resources
  • Demonstrated ability to learn quickly and to work in a fast paced, innovative environment adapting to new technologies
  • BS or MS degree required

Our Culture

  • Encourages and respects people who are hands-on, honest, focused and committed.
  • Taking end-to-end ownership
  • Strong ability to work independently and meet goals/ deadlines with minimal direction
  • Keeping things simple
  • A deep understanding of whatever you are working on
  • Being hands-on and likes to build and deliver quality  software
  • Being extremely curious and hungry to make an impact
  • Learning quickly, enjoy and taking pride in both identifying and solving problems
  • Cautious confidence in building a product for tech savvy users
  • Moving fast without compromising quality and future ability to scale

Our Benefits

  • Remote work with a highly collaborative global organization
  • Medical, dental, and vision insurance with generous company contributions for the employee and family.
  • Pre-IPO stock options
  • 401K Retirement Plan
  • Flex Time Off plan
About NormalyzeNormalyze is at the forefront of Data Security Posture Management (DSPM), enabling organizations to secure data across multi-cloud, SaaS, PaaS, and on-premises environments. Through our agent-less assessments, data discovery, AI-driven risk prioritization, and comprehensive and actionable remediation insights, we empower security and data teams to quantify risks, prioritize remediation, enforce data access controls, optimize cloud storage, and leverage AI to enhance business operations. Our platform addresses the challenges of complex data landscapes—including data lakes, shadow data, and Generative AI—by rapidly discovering, classifying, and visualizing the total data attack surface.  We are redefining cybersecurity by unifying security and data teams towards a shared objective of data-centric security, breaking down the traditional barriers that have separated these groups. Holding 11 patents in data security, Normalyze thrives on innovation, transparency, and community, driven by industry veterans Ravi Ithal and Amer Deeba, and supported by Lightspeed Venture Partners and Battery Ventures.
We serve major enterprises like Albertsons, Snowflake, and Informatica, and our technology is designed to be sophisticated yet user-friendly, removing the need for deep technical skills and facilitating rapid deployment in complex environments. We are dedicated to fast-tracking data security

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Normalyze

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