Cosign Jobs in Texas (NOW HIRING)

Job Summary:
Future Secure AI is a company at the frontier of AI, tackling significant real-world problems for global enterprises. They are seeking a Platform Security Engineer to own the security of their software development processes, including the product, its AI systems, and the cloud infrastructure.
Responsibilities:
• Run security design reviews, threat models, and code reviews for new features and AI/agentic systems, designing out vulnerability classes rather than chasing them one at a time
• Help scope and act on penetration tests against the product
• Design and build security controls for our AWS and Kubernetes (EKS) environment, including IaC guardrails (e.g., Terraform), secrets management (e.g., HashiCorp Vault), and tooling to detect and prevent cloud misconfiguration
• Harden the path from commit to production, including source and pipeline security (e.g., GitHub Enterprise, Actions and self-hosted runners) and the artifact and build chain
• Build security tooling and workflows that integrate into the IDE and pipeline so engineers make secure decisions quickly
• Stand up and run dependency and SCA controls and a dependency firewall (e.g., Socket, Snyk) and artifact management (e.g., JFrog Artifactory)
• Drive SBOM, code signing, and admission control (e.g., Cosign, Kyverno)
• Drive secure-development practices and AI-assisted-development governance across engineering
• Participate in the shared incident-response and on-call rotation as an incident handler, with leadership-level incident command for major incidents
Qualifications:
Required:
• 5+ years in product/application security or security-focused software engineering
• Proficiency in at least one general-purpose language (e.g., Python, Go, TypeScript) and a real build-vs-buy mindset
• Hands-on experience securing modern cloud environments (AWS) and containerized/microservice architectures (Kubernetes)
• Working knowledge of SDLC security: threat modeling, code review, and CI/CD pipeline security
• Ability to translate security requirements into developer-friendly workflows and influence engineering teams you don't own
Preferred:
• Experience securing AI/ML systems, LLM applications, or agentic AI
• IaC security (Terraform, CDK, CloudFormation) and security automation
• Supply-chain security depth (SLSA, sigstore/Cosign, dependency firewalls)
• Bug bounty or offensive-security experience
Company:
Future Secure AI develops secure, bespoke AI Co-Workers and multi-agent systems for complex enterprise workflows. Founded in , the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.