Application Support Manager London Hybrid Working 12-Month FTC The Opportunity An exciting opportunity has arisen for an experienced Application Support Manager to lead the delivery of application support services within a complex enterprise technology environment. This role is responsible for the leadership of a multidisciplinary team delivering 2nd and 3rd Line Application Support, ensuring the stability, availability, and performance of business-critical systems. You ll play a key role in managing service performance, driving operational improvements, overseeing major incidents, and working closely with technical and business stakeholders to ensure a high-quality support service. Key Responsibilities Lead and develop a team providing 2nd and 3rd Line Application Support services. Ensure the availability, performance, and reliability of business-critical applications. Act as the senior escalation point for complex technical issues and major incidents. Oversee incident management, problem management, root cause analysis, and service recovery activities. Monitor service performance against agreed KPIs and service levels. Drive continuous improvement initiatives across support processes, tooling, and operational practices. Work closely with engineering, infrastructure, service management, and business teams to ensure effective service delivery. Support application upgrades, releases, enhancements, and operational readiness activities. Manage workload planning, resource allocation, and team performance. Produce regular reporting on service performance, trends, risks, and improvement opportunities. Build strong relationships with internal stakeholders and third-party suppliers. Skills & Experience Proven experience leading Application Support, Technical Support, Production Support, or IT Operations teams. Strong background managing 2nd and 3rd Line Support functions within a complex environment. Experience managing major incidents and driving issue resolution through to root cause. Knowledge of incident, problem, and change management processes. Experience operating within KPI and SLA-driven service environments. Strong people leadership and stakeholder management skills. Excellent analytical and problem-solving abilities. Ability to balance operational delivery with continuous improvement initiatives. Desirable Experience Experience supporting customer-facing or enterprise-scale applications. Familiarity with ITIL-based service management principles. Experience with monitoring, ticketing, and service management platforms. Exposure to highly available, business-critical systems environments. Experience supporting digital transformation, application modernisation, or large-scale technology programmes.
06/06/2026
Full time
Application Support Manager London Hybrid Working 12-Month FTC The Opportunity An exciting opportunity has arisen for an experienced Application Support Manager to lead the delivery of application support services within a complex enterprise technology environment. This role is responsible for the leadership of a multidisciplinary team delivering 2nd and 3rd Line Application Support, ensuring the stability, availability, and performance of business-critical systems. You ll play a key role in managing service performance, driving operational improvements, overseeing major incidents, and working closely with technical and business stakeholders to ensure a high-quality support service. Key Responsibilities Lead and develop a team providing 2nd and 3rd Line Application Support services. Ensure the availability, performance, and reliability of business-critical applications. Act as the senior escalation point for complex technical issues and major incidents. Oversee incident management, problem management, root cause analysis, and service recovery activities. Monitor service performance against agreed KPIs and service levels. Drive continuous improvement initiatives across support processes, tooling, and operational practices. Work closely with engineering, infrastructure, service management, and business teams to ensure effective service delivery. Support application upgrades, releases, enhancements, and operational readiness activities. Manage workload planning, resource allocation, and team performance. Produce regular reporting on service performance, trends, risks, and improvement opportunities. Build strong relationships with internal stakeholders and third-party suppliers. Skills & Experience Proven experience leading Application Support, Technical Support, Production Support, or IT Operations teams. Strong background managing 2nd and 3rd Line Support functions within a complex environment. Experience managing major incidents and driving issue resolution through to root cause. Knowledge of incident, problem, and change management processes. Experience operating within KPI and SLA-driven service environments. Strong people leadership and stakeholder management skills. Excellent analytical and problem-solving abilities. Ability to balance operational delivery with continuous improvement initiatives. Desirable Experience Experience supporting customer-facing or enterprise-scale applications. Familiarity with ITIL-based service management principles. Experience with monitoring, ticketing, and service management platforms. Exposure to highly available, business-critical systems environments. Experience supporting digital transformation, application modernisation, or large-scale technology programmes.
We are seeking a highly skilled Claude Code Agentic Developer to join our team in Manchester and lead the development of next-generation AI-powered agentic solutions. The successful candidate will design, build, and deploy autonomous AI agents using Claude Code and modern LLM technologies, enabling intelligent workflow automation, business process optimisation, and advanced decision support capabilities. This role combines software engineering, AI application development, automation, and prompt engineering to create scalable agentic systems capable of reasoning, planning, memory management, and tool integration across enterprise environments. Key Responsibilities Design, develop, and deploy agentic AI applications using Claude Code. Build autonomous AI agents capable of multi-step reasoning, planning, memory retention, and tool execution. Integrate AI agents with APIs, databases, enterprise systems, and third-party platforms. Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and knowledge repositories. Create secure, scalable, and production-ready AI workflows. Engineer prompts, system instructions, and evaluation frameworks to improve agent performance and reliability. Develop multi-agent architectures and orchestration frameworks. Implement monitoring, observability, testing, and governance controls for AI systems. Collaborate with Product, Engineering, Data, and Business stakeholders to identify and deliver AI use cases. Stay up to date with advancements in Agentic AI, Generative AI, Claude Code, and the wider LLM ecosystem. Required Skills & Experience Agentic AI & LLM Development Proven experience developing solutions using Claude Code. Strong understanding of Agentic AI concepts including planning, reasoning, memory, reflection, and tool use. Experience building autonomous AI agents and AI-powered automation solutions. Strong prompt engineering and AI evaluation experience. Experience implementing RAG architectures and semantic search solutions. Software Engineering Strong Python development skills. Experience with JavaScript and/or TypeScript. Experience building and integrating REST APIs. Understanding of software architecture, design patterns, and scalable development practices. Experience with Git, CI/CD pipelines, and modern development workflows. AI Frameworks & Tools Experience with one or more of: Claude Code Anthropic APIs LangGraph LangChain CrewAI AutoGen LlamaIndex MCP (Model Context Protocol) Data & Infrastructure Experience with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS. Knowledge of SQL and NoSQL databases. Experience integrating enterprise data sources and knowledge repositories. Cloud & DevOps Experience with AWS, Azure, or GCP. Knowledge of Docker and Kubernetes. Experience deploying AI applications into cloud environments. Preferred Experience Commercial experience delivering production-grade AI solutions. Experience with multi-agent orchestration and autonomous workflow systems. Exposure to MLOps, AI observability, and governance frameworks. Experience working within enterprise or regulated environments. Knowledge of cybersecurity and secure AI development practices. Qualifications Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related discipline. Relevant cloud, AI, or software engineering certifications are advantageous. Why Join Us? Opportunity to work on cutting-edge Agentic AI initiatives. Influence the design and delivery of enterprise AI solutions. Hybrid working model based in Manchester. Exposure to the latest AI technologies and frameworks. Collaborative and innovation-focused environment. Location Requirements Based in or able to commute to Manchester on a regular basis. Eligibility to work in the UK. Hybrid working arrangement with occasional onsite collaboration required.
05/06/2026
Full time
We are seeking a highly skilled Claude Code Agentic Developer to join our team in Manchester and lead the development of next-generation AI-powered agentic solutions. The successful candidate will design, build, and deploy autonomous AI agents using Claude Code and modern LLM technologies, enabling intelligent workflow automation, business process optimisation, and advanced decision support capabilities. This role combines software engineering, AI application development, automation, and prompt engineering to create scalable agentic systems capable of reasoning, planning, memory management, and tool integration across enterprise environments. Key Responsibilities Design, develop, and deploy agentic AI applications using Claude Code. Build autonomous AI agents capable of multi-step reasoning, planning, memory retention, and tool execution. Integrate AI agents with APIs, databases, enterprise systems, and third-party platforms. Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and knowledge repositories. Create secure, scalable, and production-ready AI workflows. Engineer prompts, system instructions, and evaluation frameworks to improve agent performance and reliability. Develop multi-agent architectures and orchestration frameworks. Implement monitoring, observability, testing, and governance controls for AI systems. Collaborate with Product, Engineering, Data, and Business stakeholders to identify and deliver AI use cases. Stay up to date with advancements in Agentic AI, Generative AI, Claude Code, and the wider LLM ecosystem. Required Skills & Experience Agentic AI & LLM Development Proven experience developing solutions using Claude Code. Strong understanding of Agentic AI concepts including planning, reasoning, memory, reflection, and tool use. Experience building autonomous AI agents and AI-powered automation solutions. Strong prompt engineering and AI evaluation experience. Experience implementing RAG architectures and semantic search solutions. Software Engineering Strong Python development skills. Experience with JavaScript and/or TypeScript. Experience building and integrating REST APIs. Understanding of software architecture, design patterns, and scalable development practices. Experience with Git, CI/CD pipelines, and modern development workflows. AI Frameworks & Tools Experience with one or more of: Claude Code Anthropic APIs LangGraph LangChain CrewAI AutoGen LlamaIndex MCP (Model Context Protocol) Data & Infrastructure Experience with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS. Knowledge of SQL and NoSQL databases. Experience integrating enterprise data sources and knowledge repositories. Cloud & DevOps Experience with AWS, Azure, or GCP. Knowledge of Docker and Kubernetes. Experience deploying AI applications into cloud environments. Preferred Experience Commercial experience delivering production-grade AI solutions. Experience with multi-agent orchestration and autonomous workflow systems. Exposure to MLOps, AI observability, and governance frameworks. Experience working within enterprise or regulated environments. Knowledge of cybersecurity and secure AI development practices. Qualifications Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related discipline. Relevant cloud, AI, or software engineering certifications are advantageous. Why Join Us? Opportunity to work on cutting-edge Agentic AI initiatives. Influence the design and delivery of enterprise AI solutions. Hybrid working model based in Manchester. Exposure to the latest AI technologies and frameworks. Collaborative and innovation-focused environment. Location Requirements Based in or able to commute to Manchester on a regular basis. Eligibility to work in the UK. Hybrid working arrangement with occasional onsite collaboration required.
We are seeking an experienced Azure Kubernetes Engineer to design, implement, maintain, and optimise cloud-native infrastructure within Microsoft Azure environments. The successful candidate will play a key role in deploying and supporting containerised applications, Kubernetes clusters, CI/CD pipelines, and cloud automation solutions while ensuring security, scalability, and reliability across enterprise platforms. Key Responsibilities Design, deploy, and manage Azure Kubernetes Service (AKS) environments. Build and maintain highly available, scalable, and secure Kubernetes clusters. Implement Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates. Develop and maintain CI/CD pipelines using Azure DevOps and GitHub Actions. Monitor, troubleshoot, and optimise Kubernetes workloads and cluster performance. Configure networking, ingress controllers, load balancing, and service meshes. Implement container security best practices and vulnerability management processes. Manage Azure Container Registry (ACR) and container image life cycle management. Automate operational tasks using PowerShell, Bash, Python, or similar Scripting languages. Support application teams with containerisation and cloud migration initiatives. Collaborate with DevOps, Platform Engineering, Security, and Development teams. Ensure compliance with cloud governance, security, and operational standards. Provide incident support, root cause analysis, and continuous service improvement. Required Skills & Experience Strong hands-on experience with Microsoft Azure cloud services. Extensive experience managing Azure Kubernetes Service (AKS). Deep understanding of Kubernetes architecture, networking, and administration. Experience with Docker and containerisation technologies. Strong Infrastructure as Code experience using Terraform, Bicep, or ARM templates. Experience with Azure DevOps and/or GitHub Actions. Knowledge of Kubernetes security, RBAC, policies, secrets management, and compliance. Experience with monitoring and observability tools such as Azure Monitor, Prometheus, Grafana, and Log Analytics. Strong Scripting skills using PowerShell, Bash, Python, or similar. Experience managing Linux-based environments. Understanding of cloud networking concepts including VNets, NSGs, Private Endpoints, Load Balancers, and Application Gateway. Experience supporting production cloud environments and resolving complex incidents. Preferred Qualifications Microsoft Certified: Azure Administrator Associate. Microsoft Certified: Azure DevOps Engineer Expert. Microsoft Certified: Azure Solutions Architect Expert. Certified Kubernetes Administrator (CKA). Certified Kubernetes Application Developer (CKAD). Experience with GitOps tools such as ArgoCD or Flux. Experience with service mesh technologies such as Istio or Linkerd. Knowledge of FinOps and cloud cost optimisation practices. Key Technologies Cloud & Infrastructure Microsoft Azure Azure Kubernetes Service (AKS) Azure Virtual Networks Azure Load Balancer Azure Application Gateway Azure Container Registry (ACR) DevOps & Automation Azure DevOps GitHub Actions Terraform Bicep ARM Templates Git Containers & Kubernetes Kubernetes Docker Helm ArgoCD Flux Monitoring & Security Azure Monitor Prometheus Grafana Log Analytics Microsoft Defender for Cloud Azure Policy What's on Offer Opportunity to work on large-scale cloud transformation and modernisation projects. Exposure to cutting-edge cloud-native and Kubernetes technologies. Collaborative engineering culture focused on automation and innovation. Hybrid working arrangement based in Manchester , with flexibility for remote working. Ideal Candidate Proven experience in a Platform Engineering, Cloud Engineering, DevOps, or Kubernetes Engineering role. Strong troubleshooting and problem-solving skills. Ability to work effectively within agile and cross-functional teams. Excellent communication and stakeholder management capabilities. Passion for cloud-native technologies, automation, and continuous improvement.
05/06/2026
Full time
We are seeking an experienced Azure Kubernetes Engineer to design, implement, maintain, and optimise cloud-native infrastructure within Microsoft Azure environments. The successful candidate will play a key role in deploying and supporting containerised applications, Kubernetes clusters, CI/CD pipelines, and cloud automation solutions while ensuring security, scalability, and reliability across enterprise platforms. Key Responsibilities Design, deploy, and manage Azure Kubernetes Service (AKS) environments. Build and maintain highly available, scalable, and secure Kubernetes clusters. Implement Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates. Develop and maintain CI/CD pipelines using Azure DevOps and GitHub Actions. Monitor, troubleshoot, and optimise Kubernetes workloads and cluster performance. Configure networking, ingress controllers, load balancing, and service meshes. Implement container security best practices and vulnerability management processes. Manage Azure Container Registry (ACR) and container image life cycle management. Automate operational tasks using PowerShell, Bash, Python, or similar Scripting languages. Support application teams with containerisation and cloud migration initiatives. Collaborate with DevOps, Platform Engineering, Security, and Development teams. Ensure compliance with cloud governance, security, and operational standards. Provide incident support, root cause analysis, and continuous service improvement. Required Skills & Experience Strong hands-on experience with Microsoft Azure cloud services. Extensive experience managing Azure Kubernetes Service (AKS). Deep understanding of Kubernetes architecture, networking, and administration. Experience with Docker and containerisation technologies. Strong Infrastructure as Code experience using Terraform, Bicep, or ARM templates. Experience with Azure DevOps and/or GitHub Actions. Knowledge of Kubernetes security, RBAC, policies, secrets management, and compliance. Experience with monitoring and observability tools such as Azure Monitor, Prometheus, Grafana, and Log Analytics. Strong Scripting skills using PowerShell, Bash, Python, or similar. Experience managing Linux-based environments. Understanding of cloud networking concepts including VNets, NSGs, Private Endpoints, Load Balancers, and Application Gateway. Experience supporting production cloud environments and resolving complex incidents. Preferred Qualifications Microsoft Certified: Azure Administrator Associate. Microsoft Certified: Azure DevOps Engineer Expert. Microsoft Certified: Azure Solutions Architect Expert. Certified Kubernetes Administrator (CKA). Certified Kubernetes Application Developer (CKAD). Experience with GitOps tools such as ArgoCD or Flux. Experience with service mesh technologies such as Istio or Linkerd. Knowledge of FinOps and cloud cost optimisation practices. Key Technologies Cloud & Infrastructure Microsoft Azure Azure Kubernetes Service (AKS) Azure Virtual Networks Azure Load Balancer Azure Application Gateway Azure Container Registry (ACR) DevOps & Automation Azure DevOps GitHub Actions Terraform Bicep ARM Templates Git Containers & Kubernetes Kubernetes Docker Helm ArgoCD Flux Monitoring & Security Azure Monitor Prometheus Grafana Log Analytics Microsoft Defender for Cloud Azure Policy What's on Offer Opportunity to work on large-scale cloud transformation and modernisation projects. Exposure to cutting-edge cloud-native and Kubernetes technologies. Collaborative engineering culture focused on automation and innovation. Hybrid working arrangement based in Manchester , with flexibility for remote working. Ideal Candidate Proven experience in a Platform Engineering, Cloud Engineering, DevOps, or Kubernetes Engineering role. Strong troubleshooting and problem-solving skills. Ability to work effectively within agile and cross-functional teams. Excellent communication and stakeholder management capabilities. Passion for cloud-native technologies, automation, and continuous improvement.
