Form3

Senior Cloud Security Engineer- AI Resilience & Security Enhancements (Contract

Rol remoto de Cloud Security Engineering con fit claro de ubicación del candidato.

Publicado19 jul 2026

Países elegibles13 países aceptados

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

BulgariaCroaciaChipreEstoniaGreciaHungría+7 más

AWS CI/CD Kubernetes

Resumen del rol

Senior Cloud Security Engineer- AI Resilience & Security Enhancements (Contract

Requisitos y responsabilidades

Contenido del rol extraído en secciones para revisar más rápido.

Key responsibilities

Assess the current cloud security posture across Form3 environments, identifying risks, control gaps and opportunities for improvement.
Design and implement scalable cloud security controls that improve the resilience and security of our cloud-native platform.
Enhance perimeter security controls across cloud infrastructure.
Strengthen CI/CD pipeline security through secure build processes, automated security testing, deployment governance and artefact integrity.
Improve production access security, including RBAC, least-privilege implementation, deployment tooling and operational processes.
Enhance software supply chain security through dependency management, container image scanning, provenance, signing and vulnerability remediation.
Contribute to the secure adoption and governance of AI-enabled engineering capabilities, including controls for data protection, auditability and operational resilience.
Provide technical leadership and guidance on cloud security architecture and secure engineering practices.
Produce high-quality technical documentation, including solution designs, implementation plans, operational procedures and security evidence.
Collaborate closely with engineering, platform and security teams to deliver maintainable, production-ready security improvements.
Ensure all deliverables align with operational resilience requirements, regulatory obligations and internal security standards.
Deliver changes using structured, low-risk change management practices while maintaining service availability.

Essential

Extensive experience designing and implementing cloud security solutions within large-scale cloud-native environments.
Strong hands-on experience securing public cloud platforms (AWS preferred).
Expertise in cloud security architecture, identity and access management, workload protection and infrastructure security.
Experience securing CI/CD pipelines and modern software delivery practices.
Strong understanding of software supply chain security, including dependency management, artefact signing, provenance and vulnerability management.
Experience implementing least-privilege access models and RBAC.
Knowledge of security monitoring, risk assessment and security governance.
Experience working within highly regulated or business-critical production environments.
Excellent stakeholder management and communication skills, with the ability to influence engineering teams.
Strong technical documentation and design skills.

Desirable

Experience implementing security controls for AI or machine learning platforms.
Knowledge of cryptographic controls and key management.
Experience with Infrastructure as Code and policy-as-code tooling.
Familiarity with payment platforms or financial services environments.
Understanding of operational resilience frameworks and regulatory requirements affecting critical financial infrastructure.
Relevant cloud or security certifications (AWS Security Specialty, CISSP, CCSP or similar).

Desirable

AWS – Cloud infrastructure and security controls.
Kubernetes – Container orchestration and workload security.
Terraform – Infrastructure as Code and security automation.
CI/CD tooling – Secure software delivery, build security and deployment governance.
Container security tooling – Image scanning, vulnerability management and runtime protection.
Identity & Access Management (IAM) – Least privilege, RBAC and privileged access controls.
Software Supply Chain Security – Dependency scanning, artefact signing, provenance and integrity controls.
Security monitoring & observability platforms – Detection, auditability and operational visibility.
AI governance and security controls – Supporting secure adoption of AI-enabled engineering capabilities.