Staff Engineer - Scala Backend, One DSPM

What's in it for you

We're looking to hire full-stack backend software engineers who are excited to learn new technologies and comfortable diving into different levels of our stack. For this position, we are seeking experienced candidates with specialized skills that are able to jump in, learn quickly, and willing to contribute wherever is needed. As an early team member, your work will have a lot of impact and you'll help shape the culture of the company.

What you will be doing

• 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.

Required skills and experience

• Are an experienced Scala developer with at least 5 years of industry experience.
• Experience with at least 2 of the following:
• 5+ years back-end development (e.g. REST API) for enterprise B2B product.
• 5+ years web development (React or other framework) and HTML/CSS expertise.
• Development on cloud platforms including AWS.
• Data warehouse/database experience (as 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 adversarial thinking.
• Highly desirable: familiarity with program analysis techniques, especially static analysis and formal methods.

Education

• Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field required.
• Master's degree strongly preferred.