Form3 (via Otta) - Senior Cloud Security Engineer - AI Resilience & Security Enhancements (Contract)
Requirements
• 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. • INTERVIEW PROCESS ✍️ • Stage 1: Screening Call with Talent Team • Stage 2: Kubernetes & Linux Interview • Stage 3: Cloud Security & Engineering Best Practices interview • We always aim to stick to the above process, however there may be occasions when an additional interview stage is needed for us to be sure we’re hiring the right fit for the role. • HIRING LOCATIONS📍 • Here are the locations that we are looking to engage with contractors from. Please note, we are not looking to engage with contractors outside of these locations. • All contractors start their first day in our office to collect the equipment needed to work remotely.
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. • WE’RE LOOKING FOR 🔍 • WE’RE LOOKING FOR • 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). • AWS – Cloud infrastructure and security controls. • Kubernetes – Container orchestration and workload security. • Kubernetes • Terraform – Infrastructure as Code and security automation. • Terraform • CI/CD tooling – Secure software delivery, build security and deployment governance. • CI/CD tooling • Container security tooling – Image scanning, vulnerability management and runtime protection. • Container security tooling • Identity & Access Management (IAM) – Least privilege, RBAC and privileged access controls. • Identity & Access Management (IAM) • Software Supply Chain Security – Dependency scanning, artefact signing, provenance and integrity controls. • Software Supply Chain Security • Security monitoring & observability platforms – Detection, auditability and operational visibility. • Security monitoring & observability platforms • AI governance and security controls – Supporting secure adoption of AI-enabled engineering capabilities. • AI governance and security controls • INTERVIEW PROCESS ✍️
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