Note: The job is a remote job and is open to candidates in USA. 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs and Fortune 10 companies. The role involves designing and implementing secure backend services and collaborating with teams to integrate AI-driven features into production.
Responsibilities
- 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
- Drive other critical initiatives
Skills
- 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
- 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
Benefits
- Performance-based annual bonus
- Support for conferences, continuing education, or leadership training
- Fully remote, U.S.-based
- Comprehensive health, dental, and vision coverage
- Generous PTO and paid holiday schedule
- 401(k) plan
Company Overview