In this role, you will: 

• Design and implement highly reliable, distributed, backend services and APIs that are secure, scalable, and maintainable, primarily using Python and Kotlin;
• Work closely with researchers, security engineers, and product teammates to bring AI-driven features from concept to production; 
• Apply best practices for authentication, authorization, encryption, and data protection throughout the stack;
• Integrate and optimize advanced AI/ML models within backend architectures; 
• Monitor and improve performance, reliability, and resource efficiency to support growth; 
• Deploy and manage services on Google Cloud Platform (GCP) such as Cloud Run, Vertex AI, and API Gateway with an emphasis on ensuring scalability, reliability, and efficient resource utilization;
• Participate in code reviews, testing, and deployment processes to maintain high standards of quality and security; and 
• Drive other critical initiatives. 

You might excel in this role if you:  

• Bring deep experience in cybersecurity, threat detection, or a related area; 
• Thrive in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams;
• Enjoy tackling complex, ambiguous problems and can adapt quickly as priorities evolve;
• Take initiative, communicate openly, and consistently push yourself and your team to deliver exceptional results; and
• Work effectively both independently and collaboratively, contributing to team goals while managing your own projects with initiative and accountability.

Qualifications:

• Degree in Computer Science, Engineering, or related field — or equivalent professional experience 
• 3+ years of hands-on backend development in production environments 
• Proficiency in backend programming languages such as Python, Java, Kotlin, Node.js, or Go and experience building secure systems, APIs, and microservices
• Strong understanding of security best practices, including authentication methods (OAuth, JWT), encryption, and secure API development; knowledge of common attack vectors (SQL injection, privilege escalation, DDoS) and effective mitigation strategies
• Experience with cloud infrastructure (AWS, GCP) and secure deployment practices, including containerization (Docker, Kubernetes)
• Experience effectively communicating complex engineering topics to both technical and non-technical stakeholders
• Familiarity with modern DevOps practices, including test automation, CI/CD pipelines, and infrastructure-as-code practices
• Experience designing and building end-to-end backend systems, from architecture and data modeling to deployment, scaling, and monitoring

Nice to Have:

• Experience integrating and optimizing AI models (e.g., NLP, vision, multimodal systems) within backend services
• Familiarity with SQL and NoSQL databases; experience with secure data management

Compensation & Benefits:

• Salary Range: $105K–$125K, depending on experience and location
• Bonus: Performance-based annual bonus
• Professional Development: Support for conferences, continuing education, or leadership training
• Work Environment: Fully remote, U.S.-based
• Health Benefits: Comprehensive health, dental, and vision coverage
• Time Off: Generous PTO and paid holiday schedule

Retirement: 401(k) plan