Software Architect

Sentra is the global leader in cloud-native data security for the AI era. The company’s mission is to empower organizations to confidently scale their data operations across multi-cloud and on-premises environments while leveraging the power of AI without compromising security.

Sentra’s unique approach enables enterprises to autonomously scan their environments without the need for agents, ensuring that data remains securely within their cloud or on-premises infrastructure. This innovative methodology sets us apart in the industry, providing organizations with control and visibility over their sensitive data at all times. Our commitment to excellence in data security posture management and data detection and response makes Sentra a leader in the field.

We are seeking a highly experienced Software Architect to join our team and take ownership of designing and developing complex systems that directly impact our technology. In this role, you’ll work cross-functionally with R&D teams to build solutions that address critical needs, drive efficiency, and lead meaningful processes within the organization.

Responsibilities:

• Architectural Design & Strategy: Define and develop scalable and efficient system architectures.
• Mentorship & Technical Leadership: Guide and mentor R&D teams, ensuring best practices and high-quality technical decisions.
• Cross-functional Collaboration: Work closely with engineering, product, data science teams, and other stakeholders to translate business needs into technical solutions.
• Problem Solving: Analyze and resolve complex technical challenges with innovative solutions.
• Performance Optimization: Ensure system reliability, scalability, and performance through architectural improvements.

Requirements:

• 10+ years of experience in Software Engineering and Architecture Design.
• Proven track record of designing and developing complex, high-scale systems.
• Strong background in databases (DB), including designing and building systems that operate on top of databases.
• Experience working with cloud environments and on-premises infrastructures.
• Proven experience in process improvement and optimization.
• Strong ability to provide technological guidance to R&D teams.
• Strong problem-solving skills and ability to drive technical excellence across teams.
• Experience in Big Data technologies – an advantage.
• Integration with text classification and LLMs – an advantage.