Founding Platform & Security Engineer at Gradient Labs specializing in securing AI agent platform. Leading technical vision and collaborating with cross-functional teams on security practices.
Responsibilities
Lead platform security: Take complete ownership of application, cloud, network, and AI agent security across our platform
Architect & implement secure & effective platform tooling: Design and implement a comprehensive security framework covering customer-facing products, cloud infrastructure (AWS, Azure, or GCP)
Embed security in AI: Partner with our AI engineer teams to integrate security best practices into model evaluation and deployment processes
Automate & tool: Streamline security operations by integrating tooling into CI/CD pipelines
Enable enterprise customer needs: Present and explain our security posture to enterprise clients
Incident response: Lead security incidents response, ensuring rapid resolution
Mentor & educate: Mentor other engineers and contribute to establishing a strong security-first culture
Requirements
5+ years of industry experience in security engineering
Hands-on experience with programming production software (e.g., Python, Go)
Familiar with secure coding practices, threat modelling, vulnerability scanning, and incident response processes
Strong knowledge of cloud security architecture, including VPC security, and enterprise-grade deployment patterns
Proven track record building or integrating security systems that meet enterprise expectations (e.g., SIEM, Vulnerability Management, compliance platforms)
Comfortable working in a fast-paced startup environment, adaptable to changing priorities
Exceptional written and verbal communication skills
Customer-first mindset and a passion for deeply understanding customer needs
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