Senior Platform Security Engineer - AI Resilience & Security Enhancements (Contract)

Accountabilities • Design, evaluate, and implement controls for secure autonomous AI agent execution, including policy enforcement, permissions, sandboxing, execution isolation, and auditability.

• Integrate security checks into CI/CD pipelines and pull request workflows to identify vulnerable or unsafe code changes before they are merged.

• Evaluate conventional security tools and AI-assisted code security approaches, assessing detection accuracy, false positives, potential bypasses, and developer usability.

• Strengthen production access controls through least-privilege permissions, secure privileged-access pathways, session controls, and comprehensive audit trails.

• Adapt engineering tools and workflows to support secure, controlled access to production environments.

• Improve CI/CD and software supply chain security through secure builds, dependency and container scanning, provenance, artifact signing, software bills of materials (SBOMs), and policy enforcement.

• Develop practical security automation and platform guardrails that engineering teams can adopt, operate, and maintain.

• Collaborate directly with software engineers on technical design, prototyping, implementation, and the integration of security improvements into production systems.

• Contribute to broader security engineering initiatives, partnering with specialist teams when deeper domain expertise is required.

• Produce clear technical documentation, implementation guidance, and handover materials to support long-term ownership.

• Deliver changes through structured, low-risk implementation practices while preserving service availability and operational stability.

Requirements

• Strong hands-on experience in Platform Engineering, DevOps, Site Reliability Engineering (SRE), DevSecOps, or Platform Security, supported by solid security fundamentals.

• Demonstrated experience designing and implementing security controls directly, rather than focusing solely on reviews, assessments, or reporting findings.

• Strong understanding of CI/CD pipelines, modern software delivery practices, and integrating security into developer workflows.

• Good knowledge of software supply chain security, including dependency management, secure builds, provenance, artifact signing, and vulnerability management.

• Understanding of identity and access management (IAM), role-based access control (RBAC), and least-privilege principles.

• Practical experience with container security and working knowledge of Kubernetes.

• Ability to write automation, scripts, or security tooling in a programming language; Go or Python experience is useful, with a willingness to work in Go where required.

• Experience collaborating with engineers to deliver practical security enhancements in production environments.

• Strong communication, technical documentation, and problem-solving skills, with the ability to explain security decisions and work effectively across teams.

Desirable experience includes:

• Terraform or other Infrastructure as Code (IaC) tools.

• Public cloud platforms such as AWS or Google Cloud Platform (GCP).

• Security automation, policy-as-code, or automated policy enforcement.

• Container and runtime isolation, sandboxing, or related execution security controls.

• Securing AI agents or other AI-enabled engineering tools, including using large language models (LLMs) for security analysis or automation.

• Threat modelling and security design practices.

• Mutual TLS (mTLS), public key infrastructure (PKI), cryptography, or key management.

• Working in regulated industries, financial services, or other business-critical environments.

Relevant technical environment: Go, Python, CI/CD, Kubernetes, Terraform, AWS, GCP, IAM, RBAC, software supply chain security, security policy automation, and AI security controls.

Benefits

• Contract-based engagement focused on a high-impact security and resilience programme.

• Hands-on ownership of security controls across AI-enabled engineering workflows, cloud infrastructure, and software delivery.

• Close collaboration with experienced engineering, platform, and security specialists.

• Opportunity to shape practical security tooling, automation, and secure engineering practices in a business-critical environment.

• Remote working arrangement following an initial in-person office visit to collect the equipment required for the role.

• Opportunity to work on modern technologies spanning AI security, cloud-native platforms, CI/CD, and software supply chain protection.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

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