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About Reality Defender
Reality Defender is a groundbreaking security platform offering comprehensive deepfake detection. A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender's proactive deepfake and AI-generated content detection technology is developed by a leadership team with over 20 years of experience in applied research at the intersection of machine learning, data science, and cybersecurity.
With models defending against present and future fabrication techniques, Reality Defender is the best way to detect and deter fraudulent text, audio, and visual content, partnering with government agencies and enterprise clients to enhance security and detect fraud.
Role and Responsibilities
Design, implement, and maintain scalable backend systems and infrastructure.
Ensure system reliability, efficiency, and performance through monitoring and optimization.
Deploy and integrate the company’s products in on-premise environments for customers, ensuring seamless integration and performance according to client specifications.
Develop and oversee continuous integration and deployment (CI/CD) pipelines.
Provide technical guidance and mentorship to junior engineers and team members.
Stay updated with emerging technologies and industry trends to incorporate into infrastructure solutions.
About You
Bachelor’s degree in Computer Science, Information Technology, or related field;
Minimum of 5 years of experience in backend development and infrastructure management.
Proficient in the following backend programming languages: Node.JS, Go, Python and Java experience
Experience in Rust
Extensive experience with cloud platforms (AWS, Azure, Google Cloud) and cloud-native services.
AWS Solutions Architect Professional, AWS Developer Associate, AWS DevOps Engineer Professional and other AWS certificates (e.g. AWS Security Specialization)
Additional GCP / Azure experience
Experience with Terraform and Pulumi
Strong understanding of database management (SQL, NoSQL) and server-side technologies.
Experienced with Docker, Kubernetes, and other container orchestration tools.
Familiarity with automation and configuration management tools.
Compensation Range: $140K - $170K
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