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Are you a motivated Salesforce Technical Architect who is passionate about Cloud and application architecture? Do you have expert knowledge of Salesforce products and are you looking to get involved at the onset of a new platform and have the chance to really make an impact?

Note: This role is based out in Livingston, Leeds OR London (2days/week in office)

What you'll do:

Partner with product owners and solutions architecture to deliver tailored solutions across the Salesforce Ecosystem to support and realise business requirements. (Sales, Service, Communications, Experience and Marketing Clouds) Drive adoption of best practices and support a community of Salesforce Technical Designers across a wide range of initiatives to support business growth, adoption and exploitation of the Salesforce platform. Employ robust Engineering principles and practices across the design, development and delivery of changes to the Salesforce platform, working across a number of Communities of Practice to foster a culture of continuous improvement, working to define and implement best practices across the Salesforce ecosystem. Perform technical analysis, design and support implementation of changes to Salesforce platform following best practices, leveraging OOTB capabilities and customisation when necessary. Contribute to improvement of DevOps processes, Ways of Working and tools including scrum, user support, platform security, quality, version control and CI/CD. Work with domain and cross-functional agile teams to support and enhance features in CPQ, EPC, CLM and OM to support Salesforce application offerings in iterative release cycles. Manage and train advise a team of Salesforce developers and architects to build solutions using Visualforce, Lightning, APEX, APIs, and Comms Cloud components - OmniScripts, Data Raptors, Omnistudio Cards, Omnistudio Product Designer, Omnistudio Pricing Designer and Integration Procedures.

What you'll bring:

Extensive and in-depth experience of the Salesforce Digital Commerce platform and business processes including Comms Cloud (Vlocity, CPQ, EPC, OM, CLM), Sales, Service, Experience and Marketing Clouds, ideally in a Communications environment. Experience in design and development across the Salesforce platform including OmniScripts, Data Raptors, Omnistudio (Cards, Product Designer, Pricing Designer), Digital Commerce (including Cart based APIs), Lightning Web Component Framework, Apex, Triggers, SOQL/SOSL, Flows, Integration Procedures, Orchestration Plans and Event Driven integrations with external systems using SOAP, REST, BULK, Platform events and Streaming APIs. Experience of Salesforce core and Comms Cloud performance considerations and knowledge/techniques to avoid performance degradation. Good knowledge of industry CPQ offerings such as Assetization, Product lifecycle management, Digital Commerce/Cart based APIs and external APIs. Experience in building complex, scalable and high-performance software systems, including object modelling and OO design patterns that have been successfully delivered to customers. Knowledge of TOGAF principals would be advantageous. Experience with Version Control Systems and Continuous Integration/Continuous Delivery CI/CD workflows (GitLab CI/CD, Jenkins) using Vlocity Build tool (CLI) or Vlocity IDX tool and SFDX. Knowledge of using SonarQube or other static code analysis tools and ELK or Splunk for log analysis would also be beneficial for this role.

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AI Software Engineer | AWS | GitHub Copilot

Contract | Hybrid Working

We're seeking a senior AI Software Engineer with a strong software engineering background to help shape the safe and effective adoption of AI-assisted development within a large-scale enterprise environment.

This is a unique opportunity to work at the intersection of software engineering, AWS cloud platforms, developer tooling, security, DevOps, and AI engineering. You'll help define the controls, tooling, governance, and engineering practices required to enable the use of technologies such as GitHub Copilot and other AI-powered development tools at scale.

Working as part of a cross-functional engineering team, you'll combine hands-on development, technical research, prototyping, and platform engineering to improve developer productivity while maintaining security, governance, and operational standards.

The RoleEvaluate and implement safe approaches for adopting AI-assisted development tools, including GitHub CopilotDesign and build engineering controls, guardrails, and governance patterns for AI-enabled software developmentDevelop tooling, automation, observability, and telemetry capabilities to support enterprise adoptionHelp define standards across development environments, cloud platforms, and CI/CD pipelinesContribute to modern developer experience initiatives, including containerised and cloud-based development environmentsEssential SkillsStrong hands-on Software Engineering backgroundExperience developing applications and engineering solutions within AWS environmentsSolid understanding of AWS services, cloud-native architectures, and developer toolingStrong knowledge of CI/CD, DevOps tooling, and software delivery practicesDesirable ExperienceExperience implementing or supporting GitHub Copilot or other AI-assisted development toolsKnowledge of secure development environments, software governance, and policy enforcementExperience with containerisation technologies and developer platformsExposure to telemetry, analytics, monitoring, and reporting pipelinesExperience working within complex enterprise or regulated environmentsData engineering, analytics, or insight generation experienceUnderstanding of platform engineering and developer experience (DevEx) principles

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

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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.

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

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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.

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

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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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Tier 1 Investment bank based in Canary Wharf.

Role - C# Developer - Desktop Applications

Duration - 6 months with likely extension

Rate - £416 p/d (inside IR35)

Location - Hybrid / Canary Wharf

Project - Modernisation, Desktop to web, on prem to Azure.

Tech Stack

C#WPFWinformsJavascriptSQLOracle

Tasks

Tasks range from understanding business requirements, designing application structures, business data analysis, programming WPF (Windows Presentation Foundation) applications in Visual C#.NET on both Oracle and SQL Server database, testing with users, implementation through Development, Quality Assurance (QA), Production and Disaster Recovery environments. Supporting users and writing operation documents including User Helps (manuals) will also be required.As well as application development, this role will also include all aspects of system constructions and support for existing programmes which are written as WinForms (C#.NET) applications. Also, applications written in other languages like MS VBA for Excel and Access, MS VB and MS Excel Macros will also be required.

Additional Tasks

Defining Database objects required in systems to connect with SQL and Oracle Database Administrators in both London and New York.Providing script for database inquiry languages, i.e., T-SQL (SQL Server) and PL/SQL (Oracle) to perform data analysis based on requirements from business parties.Setting up a system distribution method to Citrix and application servers for both Web and Window applications.Troubleshooting systems in an event of failure and implementing necessary solutions by checking Windows Operating System, Internet Information Server and any other relevant environments where the applications are running. In some case this role will act to liaise with other application support team staff.Following the existing team programming policy to keep a common development style to be shared in team members.Updating versions of MS .Net Framework and MS Visual .NET platform to include any necessary changes of existing systems running in Production.Liaising with the relevant support teams such as other Development sections, Technical Support, Network and Infrastructure and DBA where Business users experience system problems.Assessing the impact of data processing loads on SQL and Oracle database and, when appropriate, finding alternative approaches.Rolling out changes with a coordination of Release manager. It is important to maintain the change history of applications

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Solutions Architect - Tier 1 Bank - Canary Wharf

Role - Application Architect

Duration - 6 months with very likely extension

Location - Hybrid / Canary Wharf - 3 days per week in a Canary Wharf office

Rate - £600 per day (Inside IR35)

Experience -

In depth understanding of Object Orientated programming concepts as well as of the full Software Development Life Cycle.Good understanding of MS .NET Framework environments.Knowledge and experience of Agile methodologyKnowledge of Cloud and AI technologies that can be adopted into the workplaceExtensive experience working as a software and solutions architect.Experience in designing of high-level concepts for software solutions.Experience in development of Azure cloud-based as well as on-prem solutions.DevOps and SCRUM experienceExperience in Cloud migration planning and execution

Tasks -

Create and improve architectural standards for on premise and azure cloud software products, develop cloud migration procedures and guidelines.Assist in cloud migration projects, assess readiness and dependencies, optimize for the Cloud.Create and review blueprints for software products, provide guidance on improving architecture.Coding mission critical parts and performing code reviews.Assist on integrating AI technologies to improve existing systems.Ensure that applications are in line with compliance and regulatory standards and conduct regular security assessments of these applications.Technical writing (creating related documentation)Assist developers with any architecture related issues and queries.

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Embedded Architect | Munich, Germany | Full-Time

Help shape the future of connected technologies and embedded software innovation.

An exciting opportunity is available for an experienced Embedded Architect to join a global technology organization at the forefront of hardware, software, and IoT innovation. This role offers the chance to work on next-generation embedded platforms and contribute to solutions that are transforming the industry.

About the Role

As an Embedded Architect, you will be responsible for designing and evolving both existing and future embedded software frameworks and platforms. You will play a key role in modernization initiatives, defining architectural standards, and driving the development of scalable, high-quality embedded systems.

Key Responsibilities

Define and drive software architecture for real-time embedded systems.Design scalable, maintainable, high-performance, and functionally safe software solutions.Develop and enhance embedded software frameworks and platforms.Apply advanced architecture concepts, design patterns, and engineering methodologies.Collaborate with global, cross-functional teams to influence technical strategy and product direction.Champion modern software development practices, including Agile methodologies, TDD, CI/CD, and DevOps.Support continuous improvement initiatives to enhance software quality and development efficiency.

Required Skills & Experience

Strong expertise in Embedded C/C++ development.Proven experience defining software architecture for real-time embedded systems.5+ years of experience developing embedded applications and systems.Strong understanding of software design patterns and embedded software engineering principles.Experience working within Agile environments and utilizing DevOps and CI/CD practices.Excellent problem-solving, communication, and stakeholder management skills.

Ability to collaborate effectively with international teams

Kindly apply or get in touch withme directly at [email protected]

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

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

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