Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.
The Vectra Platform captures packets and logs across network, public cloud, SaaS, and identity by applying patented security-led AI to surface and prioritize threats for rapid threat response. Vectra's threat detections are powered by a deep understanding of attacker methods and problem-optimized AI algorithms. Alerts uncover attacker methods in action and are correlated across customer environments to expose real attacks. Organizations around the world rely on Vectra to see and stop threats before a breach occurs. For more information, visit www.vectra.ai.
Position Overview
The Vectra Engineering team looks for people that are smart, very capable technically, and have fun solving the challenges that our customers face together as a team. We believe strongly that everyone can and should have significant impacts on the growth of the product as well as the company and our culture. We believe in using the right technology for each problem and building knowledge through mentorship and other things like peer code reviews. We're excited to find others to join the team that want to work on an interesting product that solves real problems.
Detecting attackers and attack vectors leveraging software that enables machine learning and statistical techniques. This requires the processing and management of considerable volumes of data. We are looking for innovative and resourceful data engineers to join our growing team. Our data science and analytical capabilities rely on the fast, efficient flow of large volumes of data. Working in concert with our existing Data Science/Security Research you will assist in optimizing these flows as well as building out new data pipelines to support our growing product portfolio.
Responsibilities
- Build and maintain systems that ingest configuration data from SaaS and Cloud Infrastructure offerings.
- Identify and develop data set processes for data modeling, minding, and production.
- Load and Transform data into SQL or Graph Databases.
- Leverage emerging tech and Big Data to ensure delivery of real time analytics solutions
- Perform data analysis tasks required to troubleshoot data related issues and ultimately present optimized solutions.
- Interface with other groups including Product Management, UX, Security Research and Data Science to help customers simplify security
Qualifications
Required
- BS or M.S or Ph.D. in Computer Science (or equivalent experience)
- 3+ years in software development, data engineering, or equivalent
- Knowledge of software design principles and leading software development practices
- Strong communication & collaboration skills
- Willingness to get things done, learn new things, take initiative and challenge existing assumptions and conventions
- Experience building and deploying to service in AWS
- Experience programming in any of the following (Python, Javascript)
- Comfortable with Database technologies (SQL, NoSQL, Cypher)
- Knowledge of the following tools (or similar): Git, Jenkins, JIRA etc.
Desirable
- Experience with implementing Data pipelines in AWS
- Experience working with a geographically dispersed team
- Familiarity with Graph DB technologies such as Cypher query language
- Experience with using Terraform for infrastructure as code
- Ability to work in a collaborative environment
- Expertise in automated testing in addition to continuous integration and deployment tools
Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program.
Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.