Position Overview

Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.

The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.

Our Engineering organization is a fast-growing team of collaborative, technically strong, and passionate problem solvers. We value creativity, ownership, and the drive to build meaningful technology that solves real-world security challenges. Every engineer has the opportunity to make a measurable impact—on the product, the company, and our culture. We believe in using the right tools for each problem, mentoring and learning through peer reviews, and continuously improving how we build. 

The Application Data Platform team designs, builds, and maintains data-intensive applications that power customer-facing features across REST APIs and UI components. Python is our primary language, and we take pride in delivering end-to-end solutions—from frontend and API design to backend systems and databases.

Responsibilities:

• Translate product requirements into robust, scalable, and maintainable software solutions.

• Collaborate with Product Management, UX, Security Research, and Data Science teams to simplify security for our customers.

• Provide technical leadership—mentoring, code reviews, and architectural guidance.

• Design, develop, test, deploy, and maintain software in production environments.

• Own quality, reliability, and performance across the stack; proactively identify areas for improvement.

• Work with relational and non-relational databases to enable seamless data flow.

• Engage actively in team discussions—contributing ideas, asking questions, and driving continuous improvement.

Requirements: 

• 5+ years of professional software engineering experience.
• 2+ years of Python development experience.
• 3+ years working with cloud providers (AWS, Azure, or GCP).
• 4+ years of database experience, including relational systems (MariaDB, PostgreSQL, MySQL, etc.).
• Experience designing REST API contracts (OpenAPI, Swagger, etc.).
• Skilled in debugging, performance profiling, automated testing, and documentation.
• Hands-on experience with CI/CD pipelines and deployment automation.
• Strong understanding of software design principles and modern development practices for data-intensive systems.
• Familiarity with containers and Kubernetes.
• Proficiency with Unix/Linux environments.
• Excellent communication and collaboration skills.
• Self-motivated and proactive; able to take initiative and challenge assumptions constructively.

Preferred: 

• Experience with Python web and asynchronous frameworks (Django, Flask, Celery, FastAPI).
• Knowledge of authentication and authorization standards (OAuth, OIDC, IAM, SAML).
• Experience with full-stack development, particularly backend-heavy applications.
• Strong SQL tuning and performance optimization skills.
• Experience with Infrastructure as Code (Terraform, Terragrunt, CloudFormation, Troposphere).
• Familiarity with analytical (OLAP) and Lakehouse databases (Delta Lake, Iceberg, Snowflake, BigLake, etc.).

Education: 

• BS or MS in Computer Science/Engineering (or equivalent experience)