Are you passionate about technology and enjoy explaining complex solutions in a way that everybody gets excited? If so, read on!
About Picus
Picus Security, the leading security validation company, gives organizations a clear picture of their cyber risk based on business context. Picus transforms security practices by correlating, prioritizing, and validating exposures across siloed findings so teams can focus on critical gaps and high-impact fixes. With Picus, security teams can quickly take action with one-click mitigations to stop more threats with less effort.
The Picus Security Validation Platform easily reaches across on-prem environments, hybrid clouds and endpoints coupled with Numi AI to provide exposure validation.
The pioneer of Breach and Attack Simulation, Picus delivers award-winning threat-centric technology that allows teams to pinpoint fixes worth pursuing, offering a 95% recommendation in Gartner Peer Review.
About The Role
If you’re a results-driven person with an entrepreneurial mindset, who takes the initiative and thrives in a dynamic environment, then this is a great opportunity to play a pivotal role in a fast-growing cyber security company.
As Data Engineer you will contribute to designing, developing, and maintaining data pipelines as well as AI models, and graph database systems. This role offers an exciting opportunity to work on both data engineering and AI initiatives while fostering growth in these fields.
What You'll Do
- Design, construct, test, and maintain data management systems
- Develop and maintain scalable data pipelines, processing systems, AI model workflows, and graph database schemas
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability
- Troubleshoot performance bottlenecks and ensure data quality and integrity
- Support the design and implementation of data pipelines, processing systems, and AI model workflows
- Aid in the development, training, and evaluation of AI models under the guidance of senior team members
- Contribute to data preprocessing and feature engineering tasks crucial for AI model training
- Assist in deploying AI models and integrating them into existing systems
What You Have
- BS or MS degree in Computer Science, Engineering or similar field
- Proficiency in programming languages, especially Python, for data engineering, AI model development, and graph database management
- Interest in AI and machine learning concept
- Eagerness to learn data pipeline tools and cloud-based data technologies
- Familiarity with machine learning frameworks
- Excellent teamwork and communication skills
- Strong analytical skills and excellent problem-solving abilities
- Humble, friendly, adaptive, result-oriented personality
Working at Picus
Fascinating work - a chance to shape and lead an exciting, fast-growing cyber security segment. Security Validation is a concept that helps organizations evaluate their security posture in a continuous, automated, and repeatable way. This approach allows for the identification of imminent threats, provides recommended actions, and produces valuable metrics about cyber-risk levels.
Unlimited opportunity! We are growing. At Picus, you'll be provided with as much responsibility as you can handle - new career development opportunities constantly arise given our rate of growth.
Global exposure - Get a lot of experience working not only in a fast-growing startup but also interact with customers all around the world.
Be part of a global remote team who is taking on Exposure Validation and a growing market segment.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, sex, race, color, national origin, religious belief, gender or gender reassignment, sexual orientation, marriage or civil partnership, pregnancy and maternity, disability, protected veteran status, or any other characteristic protected by International law. Upon conditional offer of employment, candidates are required to complete reference and identity checks in line with local labor laws and as per the Company’s employment policy.
•
Last updated on Jan 31, 2025