Data Engineer

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 Inc is a place where exceptional people gather to do their best work. We convert new ideas to exceptional solutions and great customer experiences. Bring passion and dedication to your job and there's no telling what you could accomplish. Join Picus to become part of our talented team!

Picus Security pioneered Breach and Attack Simulation (BAS) technology in 2013, recognized as a Cool Vendor in Security and Risk Management by Gartner in 2019 and a leading vendor in BAS Market by Frost & Sullivan in 2020. Also, in 2024 Gartner Peer Review named Picus a Cusotmers’ Choice for Breach and Attack Simulation tools. Picus is a Series-B startup supported by reputable private equity and venture capital organizations including Mastercard, Turkven, Earlybird Capital, ACT and Endeavor Catalyst.

The Picus Security Validation Platform gives CISOs and security teams visibility over their security posture by continuously validating their security controls and their SIEM/SOC tools, and remediating potential exposures.

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. You will be able to have a direct impact on the future of our business by helping to influence global adoption of our award-winning Complete Security Control Validation platform.

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.

• 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

• 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. Breach and Attack Simulation is a new 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 team that’s located in Turkey, UK, US, UAE, Italy, Singapore, India and Brazil.

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.