Our client, a seed-funded security start-up located in Sunnyvale, CA that was recently selected as a Top 3 startup at RSAC Launch Pad 2020, is focusing on launching its MVP with the mission to enable flexible, safe internal use of sensitive data.

About the job:

We’re looking to hire experienced full-stack software engineers who are excited to learn new technologies and comfortable diving into different levels of our stack. As an early team member, your work will have a lot of impacts and you’ll help shape the culture of the company.


  • Work with the engineering team to design, build, and test our cloud-based platform including front-end, back-end, and services
  • Participate in feature estimation, feature prioritization, sprint planning, biweekly sprints, code reviews, and sprint retros
  • Contribute to product development: understand customer needs and work with the product team to design, plan, and implement new features
  • Support early customers of our software by investigating and fixing production issues
  • Help us improve our processes and make the right tradeoffs between agility, cost, and reliability


  • MS degree in Computer Science or technical field; or comparable industry experience
  • Experience with at least 2 of the following:
    • 5+ years backend development (e.g. REST API) for enterprise B2B product
    • ‌‌5+ years Java or Scala experience
    • Development on cloud platforms including AWS
    • Data warehouse/database experience (as a data scientist or DBA) and SQL expertise
  • Good communication skills
  • Willing to learn, challenge yourself, and share your ideas with the team
  • Able to multitask and wear many hats in a fast-paced environment. This week you might lead the design of a new feature, next week you are fixing a critical bug or improving our CI infrastructure


  • Prior experience working at a start-up or in a small team; experience with agile methodologies
  • Cybersecurity experience and strong adversarial thinking
  • Highly desirable: familiarity with program analysis techniques, especially static analysis, and formal methods