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Key ResponsibilitiesDesign, develop, test, deploy, and operate production-grade security automation and AI-driven workflows.Build intelligent agents capable of securely accessing security data, invoking approved tools, maintaining context, and executing multi-step workflows.Develop automation that can assist with:Threat intelligenceThreat huntingDetection engineeringSecurity investigationsIncident responseSecurity data analysisApply modern AI and automation techniques, including:Tool callingRetrieval-augmented generation (RAG)Structured generationPlanningReflectionVerificationModel routingMulti-agent coordinationDesign mechanisms for memory, context management, task recovery, escalation, and human approval.Build automation designed to reduce operational noise and false positives while improving the speed and consistency of security response.Develop appropriate security controls and guardrails around AI agents and automated workflows.Create evaluation and testing strategies to measure the accuracy, reliability, security, and performance of automation.Evaluate emerging AI models, agent frameworks, automation platforms, and orchestration technologies.Prototype new capabilities and transition successful solutions into reliable production environments.Work closely with threat intelligence analysts, threat hunters, detection engineers, incident responders, and security-data engineers to understand operational challenges.Translate security requirements and operational processes into scalable technical solutions.Develop clean, maintainable, scalable, and well-documented code.Troubleshoot, monitor, and continuously improve automation running in production.Participate in architecture, design, code reviews, and technical decision-making.Identify opportunities to automate repetitive or time-sensitive security processes and improve overall SOC efficiency.Required QualificationsBachelor's degree in Computer Science, Engineering, Cybersecurity, Information Systems, or a related field, or equivalent professional experience.8+ years of experience in software engineering, security engineering, automation engineering, AI/ML engineering, or a related technical field.Strong hands-on software development experience.Experience building automation solutions or AI-powered applications for production environments.Experience working with Large Language Models (LLMs), generative AI, or agentic AI technologies.Strong programming skills in Python and/or another modern programming language.Experience integrating applications with APIs, tools, data sources, and external systems.Understanding of AI agent concepts such as tool use, planning, context management, retrieval, memory, and verification.Experience designing and implementing reliable, scalable technical solutions.Strong analytical and problem-solving skills.Ability to work with both software engineers and security professionals to translate operational challenges into technical solutions.Preferred QualificationsExperience building agentic AI systems or autonomous security workflows.Experience with security automation, SOAR, SIEM, or security orchestration platforms.Experience with cybersecurity operations, threat intelligence, threat hunting, detection engineering, or incident response.Experience with RAG, vector databases, embeddings, semantic search, or knowledge retrieval.Experience with multi-agent architectures and AI orchestration frameworks.Experience developing AI evaluation frameworks, testing harnesses, or benchmarking processes.Experience with Kubernetes, cloud platforms, microservices, APIs, and distributed systems.Experience implementing human-in-the-loop controls and approval workflows.Experience taking AI/automation solutions from proof of concept through production deployment.Familiarity with security controls and best practices for deploying AI systems in enterprise environments.

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Key ResponsibilitiesDesign, develop, test, deploy, and operate production-grade security automation and AI-driven workflows.Build intelligent agents capable of securely accessing security data, invoking approved tools, maintaining context, and executing multi-step workflows.Develop automation that can assist with:Threat intelligenceThreat huntingDetection engineeringSecurity investigationsIncident responseSecurity data analysisApply modern AI and automation techniques, including:Tool callingRetrieval-augmented generation (RAG)Structured generationPlanningReflectionVerificationModel routingMulti-agent coordinationDesign mechanisms for memory, context management, task recovery, escalation, and human approval.Build automation designed to reduce operational noise and false positives while improving the speed and consistency of security response.Develop appropriate security controls and guardrails around AI agents and automated workflows.Create evaluation and testing strategies to measure the accuracy, reliability, security, and performance of automation.Evaluate emerging AI models, agent frameworks, automation platforms, and orchestration technologies.Prototype new capabilities and transition successful solutions into reliable production environments.Work closely with threat intelligence analysts, threat hunters, detection engineers, incident responders, and security-data engineers to understand operational challenges.Translate security requirements and operational processes into scalable technical solutions.Develop clean, maintainable, scalable, and well-documented code.Troubleshoot, monitor, and continuously improve automation running in production.Participate in architecture, design, code reviews, and technical decision-making.Identify opportunities to automate repetitive or time-sensitive security processes and improve overall SOC efficiency.Required QualificationsBachelor's degree in Computer Science, Engineering, Cybersecurity, Information Systems, or a related field, or equivalent professional experience.8+ years of experience in software engineering, security engineering, automation engineering, AI/ML engineering, or a related technical field.Strong hands-on software development experience.Experience building automation solutions or AI-powered applications for production environments.Experience working with Large Language Models (LLMs), generative AI, or agentic AI technologies.Strong programming skills in Python and/or another modern programming language.Experience integrating applications with APIs, tools, data sources, and external systems.Understanding of AI agent concepts such as tool use, planning, context management, retrieval, memory, and verification.Experience designing and implementing reliable, scalable technical solutions.Strong analytical and problem-solving skills.Ability to work with both software engineers and security professionals to translate operational challenges into technical solutions.Preferred QualificationsExperience building agentic AI systems or autonomous security workflows.Experience with security automation, SOAR, SIEM, or security orchestration platforms.Experience with cybersecurity operations, threat intelligence, threat hunting, detection engineering, or incident response.Experience with RAG, vector databases, embeddings, semantic search, or knowledge retrieval.Experience with multi-agent architectures and AI orchestration frameworks.Experience developing AI evaluation frameworks, testing harnesses, or benchmarking processes.Experience with Kubernetes, cloud platforms, microservices, APIs, and distributed systems.Experience implementing human-in-the-loop controls and approval workflows.Experience taking AI/automation solutions from proof of concept through production deployment.Familiarity with security controls and best practices for deploying AI systems in enterprise environments.

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Key ResponsibilitiesDesign, develop, test, deploy, and operate production-grade security automation and AI-driven workflows.Build intelligent agents capable of securely accessing security data, invoking approved tools, maintaining context, and executing multi-step workflows.Develop automation that can assist with:Threat intelligenceThreat huntingDetection engineeringSecurity investigationsIncident responseSecurity data analysisApply modern AI and automation techniques, including:Tool callingRetrieval-augmented generation (RAG)Structured generationPlanningReflectionVerificationModel routingMulti-agent coordinationDesign mechanisms for memory, context management, task recovery, escalation, and human approval.Build automation designed to reduce operational noise and false positives while improving the speed and consistency of security response.Develop appropriate security controls and guardrails around AI agents and automated workflows.Create evaluation and testing strategies to measure the accuracy, reliability, security, and performance of automation.Evaluate emerging AI models, agent frameworks, automation platforms, and orchestration technologies.Prototype new capabilities and transition successful solutions into reliable production environments.Work closely with threat intelligence analysts, threat hunters, detection engineers, incident responders, and security-data engineers to understand operational challenges.Translate security requirements and operational processes into scalable technical solutions.Develop clean, maintainable, scalable, and well-documented code.Troubleshoot, monitor, and continuously improve automation running in production.Participate in architecture, design, code reviews, and technical decision-making.Identify opportunities to automate repetitive or time-sensitive security processes and improve overall SOC efficiency.Required QualificationsBachelor's degree in Computer Science, Engineering, Cybersecurity, Information Systems, or a related field, or equivalent professional experience.8+ years of experience in software engineering, security engineering, automation engineering, AI/ML engineering, or a related technical field.Strong hands-on software development experience.Experience building automation solutions or AI-powered applications for production environments.Experience working with Large Language Models (LLMs), generative AI, or agentic AI technologies.Strong programming skills in Python and/or another modern programming language.Experience integrating applications with APIs, tools, data sources, and external systems.Understanding of AI agent concepts such as tool use, planning, context management, retrieval, memory, and verification.Experience designing and implementing reliable, scalable technical solutions.Strong analytical and problem-solving skills.Ability to work with both software engineers and security professionals to translate operational challenges into technical solutions.Preferred QualificationsExperience building agentic AI systems or autonomous security workflows.Experience with security automation, SOAR, SIEM, or security orchestration platforms.Experience with cybersecurity operations, threat intelligence, threat hunting, detection engineering, or incident response.Experience with RAG, vector databases, embeddings, semantic search, or knowledge retrieval.Experience with multi-agent architectures and AI orchestration frameworks.Experience developing AI evaluation frameworks, testing harnesses, or benchmarking processes.Experience with Kubernetes, cloud platforms, microservices, APIs, and distributed systems.Experience implementing human-in-the-loop controls and approval workflows.Experience taking AI/automation solutions from proof of concept through production deployment.Familiarity with security controls and best practices for deploying AI systems in enterprise environments.

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Cyber Security Engineer

Secure by Design & Security Platforms

6-Month Contract | Inside IR35 | London 1-2 Days Per Week

We're seeking a hands-on Cyber Security Engineer to embed Secure by Design principles across technology programmes while helping improve and optimise a suite of enterprise security platforms.

This is an excellent opportunity for a security professional who enjoys working across architecture, engineering and delivery teams, influencing projects from inception through to deployment while providing practical, pragmatic security guidance.

Key Experience

✅ Secure by Design & Security Assurance
✅ Security Architecture & Design Reviews
✅ Threat Modelling & Risk Identification
✅ Microsoft Security Stack (Identity, Endpoint, Cloud & Monitoring)
✅ Security Platform Configuration & Support
✅ Security Standards, Controls & Governance
✅ Vendor & Security Tool Management
✅ Stakeholder Engagement Across Engineering & Delivery Teams

What You'll Be Doing

Embed security into projects and programmes from day oneConduct security design reviews and lightweight threat modellingDrive security assurance throughout the delivery lifecycleEnhance configuration, adoption and effectiveness of security platformsSupport onboarding and implementation of new security toolingAct as a key liaison between Security, Architecture, Engineering and Delivery teamsDevelop practical standards, templates and guidance to improve secure-by-design outcomesManage platform-related requests, vendor engagement and continuous improvement initiatives

Ideal Background

Strong experience delivering Secure by Design outcomes within complex enterprise environmentsExperience reviewing solution architectures and identifying pragmatic security controlsHands-on experience with Microsoft security technologiesExposure to cloud, infrastructure, applications and integration securityExperience supporting or administering security tooling and platformsAbility to operate independently and quickly add value in a fast-paced environment

Desirable

Security Architecture or Engineering backgroundIAM technologies such as One Identity, Delinea or StrongDMExperience within regulated, utilities, energy or critical infrastructure environments

A great opportunity for a delivery-focused security contractor to influence major technology initiatives, improve security engineering practices and help drive a Secure by Design culture across a large and complex organisation.

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Network Security Engineer (AlgoSec)

We are seeking an experienced Network Security Engineer with strong AlgoSec and enterprise firewall experience to join a growing security team.

This is a hands-on role focused on firewall policy management, security governance, automation and compliance across complex multi-vendor environments.

Key Responsibilities

Administer and support AlgoSec Security Management Suite.Manage firewall policy reviews, optimisation, risk analysis. Support FireFlow, Firewall Analyser, ObjectFlow and AppViz.Analyse application connectivity and network traffic flows.Manage firewall changes, exceptions and security incidents.Automate security processes using scripting and REST APIs.Support security governance, audit and compliance activities.Work with infrastructure, security and engineering stakeholders.

Required Experience

Strong hands-on AlgoSec experience.Extensive enterprise firewall experience with Palo Alto, Fortinet, Cisco ASA/Firepower and/or Check Point.Strong knowledge of firewall administration, NAT, VPN, segmentation and IDS/IPS.Experience with security governance, compliance and ITIL processes.Strong scripting skills in Python, PowerShell and/or Bash.Experience with REST APIs and automation tools such as Ansible or Terraform.

Please send across an updated CV if this position is of interest

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Director of Security Engineering - Permanent - London

£130,000 - £150,000 + performance bonus & corporate benefits
Hybrid - Central London

This one is a corker and in my opinion one of the most exciting perm roles i've had the pleasure of working on in the last decade. I will be taking printed copies of CVs to present to the client next Tuesday morning so if you're up for it, send me message and we'll have a chat.

I have been engaged on a search for a Director of Security Engineering reporting directly into the CISO of a high growth, international technology business. This is an opportunity for a security leader who wants genuine ownership, influence and the ability to shape the future direction of security across a modern SaaS organisation.

This is one for someone who can operate strategically with executive stakeholders whilst remaining credible with engineers, architects and technical teams. You'll be joining at a particularly interesting point in the organisation's journey, helping to scale security capabilities, embed security into product and engineering functions, strengthen detection and response capabilities and shape how the business approaches AI security and emerging technology risks.

If you're a security leader who wants to own Security Engineering, SecOps, AppSec, Cloud Security and AI Security in a business where security is viewed as an enabler rather than a blocker reach out to me ASAP. It would be particularly suited to existing Directors, Heads of Security Engineering, Heads of Security Operations, Senior Security Managers or technically minded security leaders who are looking for a broader remit and greater impact.

Experience within SaaS, technology, cloud native or product led organisations would be especially valuable.

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Senior Full-stack Engineer Location: Abu Dhabi, UAE - Remote Global Type: Contract

Role Summary We are seeking a Senior Full-stack Engineer to build the production-grade, end-to-end application architecture for a large-scale AI transformation. You will be the architect behind both the "face" and the "nervous system" of our AI agents, designing intuitive, highly responsive user interfaces alongside the secure API gateways and orchestration layers that allow Large Language Models (LLMs) to interact with industrial ERPs and sensitive engineering data.

You will act as the technical anchor for key build initiatives across our flagship programs. Your mandate is to move beyond simple model serving to build robust, on-premise microservices and dynamic frontend applications that power enterprise engineering platforms and autonomous AI agents. Working within a structured "Stage Gate" delivery model, you will ensure our software meets the strict usability, security, and reliability standards required for national defense infrastructure.

Key Responsibilities
1. End-to-End Agent Architecture & User Experience
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Intuitive AI Interfaces: Architect and develop the frontend applications (e.g., React/Next.js) that allow end-users to interact seamlessly with AI agents. Build custom chat interfaces capable of handling streaming LLM responses, complex citations, and interactive widgets.
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Agentic Frameworks: Design the backend orchestration layer (Agent of Agents) that coordinates specialized AI workers (e.g., Controllership Agent, Treasury Agent), managing state, task routing, and error handling.
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Workflow Logic & State Management: Design the "Task Router" services and frontend state management that map user prompts to specific skills/playbooks, ensuring a deterministic and highly responsive execution of critical financial and engineering workflows.
2. Enterprise Integration & Data Visualization
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Secure SAP Connectivity: Build the full-stack "Data Access Layer" (DAL) that serves as the secure gateway for AI agents to read/write to SAP S/4HANA and Ariba, surfacing this data via dynamic dashboards and interactive data visualizations on the client side.
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RAG Integration & Search UI: Develop the backend logic to interface with Vector Databases (e.g., Weaviate) and build the frontend search components, enabling the "Knowledge Mining Chatbot" to securely query and render historical proposals and technical documents.
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External Data Feeds: Construct robust connectors for external data (e.g., S&P Global, Orbis) to power Supply Chain Risk Scoring, building custom UI components to display comparative analysis and trade-offs.
3. Security, Performance & Deployment
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Defense-Grade Security: Implement full-stack security measures. On the backend, enforce Authentication, Role-Based Access Control (RBAC), and PII/ITAR redaction. On the frontend, ensure strict protection against XSS, CSRF, and other client-side vulnerabilities.
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On-Premise Optimization: Engineer systems for strictly air-gapped or on-premise deployment, optimizing client-side bundles and backend resource usage on local GPU clusters rather than relying on infinite cloud scaling.
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Reliability Engineering: Implement comprehensive end-to-end observability, including frontend error tracking, backend logging, tracing, and monitoring adhering to enterprise best practices.
Technical Requirements
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Frontend Development: Expert proficiency in TypeScript/JavaScript and modern frontend frameworks (preferably React or Next.js). Strong experience with complex state management, real-time data streaming (WebSockets/SSE), and modern CSS (Tailwind, CSS-in-JS).
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Backend Development: Expert proficiency in Python (FastAPI/Django) for AI integration, and Node.js, Go, or Java for high-performance microservices.
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API Architecture: Strong background in designing and consuming RESTful APIs and gRPC services. Experience building API Gateways (e.g., Kong, NGINX) for traffic management.
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Database Management: Proficiency with Relational Databases (PostgreSQL) for transactional data and Vector Databases (Weaviate, Milvus) for semantic search applications.
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Containerization & Orchestration: Deep experience with Docker and Kubernetes (k8s) for deploying scalable, full-stack applications in on-premise environments.
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Integration Protocols: Familiarity with enterprise integration patterns and ERP protocols (OData, SOAP) is a strong plus.
Professional Qualifications
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Experience: 5+ years of experience in Full-stack Software Engineering, with a proven track record of building and scaling web applications that serve ML/AI models in production environments.
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Structured Delivery: Ability to thrive in a "Governance Collision" environment, delivering Agile software (Sprints, MVPs) that passes rigorous "Stage Gate" reviews and Systems Engineering audits.
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Operational Mindset: Experience building mission-critical systems that require high availability, accessibility, and auditability, preferably in Fintech, Healthcare, or Defense sectors.
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Cross-Functional Collaboration: Proven track record of bridging the gap between Data Scientists, Backend Engineers, and UI/UX Designers to deliver cohesive end-to-end platforms.

Why This Role?

You are not just building APIs or user interfaces; you are building the "hands" and the "face" of an AI workforce. Your code will provide the intuitive dashboards and the secure backend logic that enable AI agents to autonomously draft defense contracts, forecast critical supply shortages, and validate the safety of engineering designs. If you want to build the secure, high-performance, and deeply interactive architecture that makes AI tangible, this role is for you.

GCS is acting as an Employment Business in relation to this vacancy.

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Cyber Security Engineer - Microsoft 365 & Azure

6-Month Contract | Outside IR35 | £350-400 per day | Remote (UK) | 1-2 Days per Month On-Site (South West London)

A leading public sector organisation is looking for a Cyber Security Engineer to support a major cyber security improvement programme.

Working alongside the Cyber Security, Infrastructure and Platform teams, you'll help deliver a range of security enhancements across Microsoft 365, Azure and AWS, strengthening the organisation's overall security posture while improving identity, endpoint, cloud and data protection capabilities.

This is a fantastic opportunity for someone who enjoys hands-on engineering and wants to be involved in delivering meaningful security improvements across a large enterprise environment.

Key ResponsibilitiesDeliver security improvement projects across Microsoft 365, Azure and AWS.Implement and enhance security controls across identity, endpoint, cloud and data protection.Configure and support Microsoft Intune, Microsoft Defender, Microsoft Purview and related Microsoft security technologies.Assist with SIEM configuration, alert tuning and security monitoring.Support Identity & Access Management improvements, including MFA, Conditional Access and Microsoft Entra ID.Work closely with Infrastructure, Platform and Service Desk teams to plan and implement security changes.Assist with vulnerability management and endpoint security improvements.Support cloud security initiatives across Azure and AWS.Produce clear technical documentation and operational handover documentation.Work collaboratively with internal technical teams to ensure successful delivery of security initiatives.Essential Experience

We're looking for someone with experience across several of the following areas:

Experience working as a Cyber Security Engineer within an enterprise environment.Good knowledge of Microsoft 365 and Azure security.Experience with Microsoft Intune and Microsoft Defender.Understanding of Identity & Access Management, including Microsoft Entra ID, MFA and Conditional Access.Experience supporting or configuring SIEM platforms (Microsoft Sentinel or similar).Knowledge of endpoint security and vulnerability management.Experience working within Azure and/or AWS environments.Basic PowerShell scripting skills.Experience delivering technical projects and working with multiple technology teams.Strong communication skills with the ability to produce clear technical documentation.Desirable Experience

Experience in any of the following would be beneficial but is not essential:

Microsoft Purview, DLP or Information Protection.Zscaler (ZIA/ZPA).AWS Security.Infrastructure-as-Code (Terraform, Bicep or ARM Templates).Experience within the UK Public Sector or another regulated environment.Knowledge of UK GDPR, PSN or PCI DSS.Contract DetailsRole: Cyber Security Engineer - Microsoft 365 & AzureContract: 6 MonthsDay Rate: £350-400 per dayIR35 Status: Outside IR35Location: Remote (UK)Travel: 1-2 days per month on-site in South West LondonStart Date: ASAP

This is an excellent opportunity to join a high-profile cyber security programme, working on modern Microsoft security technologies within a collaborative team while enjoying the flexibility of a predominantly remote contract.

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Cloud & Security Engineer (12-Month Contract)

Location: Dublin (Hybrid - 3 days onsite)
Contract: 12 Months | Daily Rate

An Irish organisation is looking for an experienced Cloud & Security Engineer to support and enhance its Microsoft cloud and security environment.

You'll play a key role across cloud infrastructure, identity, endpoint security and incident response while helping to strengthen security posture and modernise IT operations.

Key ResponsibilitiesManage Microsoft Entra ID, Conditional Access, MFA and Privileged Identity Management (PIM)Administer Microsoft Intune and Microsoft Defender XDRMonitor and investigate security events using Microsoft SentinelSecure Azure environments using Zero Trust principlesProvide Level 3 support and technical leadershipSupport ITIL processes including Incident, Change and Problem ManagementProduce technical documentation, runbooks and operational proceduresWhat You'll NeedStrong experience with Microsoft Azure and Microsoft security technologiesHands-on expertise with Entra ID, Intune, Defender XDR and SentinelExperience with security incident response and identity & access managementExcellent troubleshooting and stakeholder communication skillsAZ-500 certification is essential (SC-200, SC-300 and/or MD-102 also highly desirable)

If you're looking for a long-term contract working with modern Microsoft cloud and security technologies, we'd be happy to tell you more.

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