slough, south east england, united kingdom Hybrid / WFH Options
Experis
hands-on expertise across Java-based platforms, ensuring solutions are robust, scalable, and compliant with security and regulatory standards. Key Responsibilities Define and own the Java application architecture and integration patterns. Provide technical leadership to development teams and ensure best practices are followed. Design, review, and optimise microservices and cloud-native architectures . Work closely with stakeholders, business analysts … with architecture responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integrationpatterns and secure system design. Experience working in Agile/DevOps environments . Strong More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Keylime Consultants
URGENT role is available on a permanent basis and a base salary up to £85,000 + Benefits The ideal candidate will have strong hands-on experience with Workday integration tools, a solid understanding of core HR, Payroll and Finance processes, and the confidence to lead on integration delivery within a fast-moving project environment. This is a … handling to maintain data integrity and business continuity Support implementation activity, collaborating with HR, Payroll, Finance, IT and external vendors Coordinate and execute testing, including UAT and deployment Ensure integration design aligns with security, compliance and regulatory standards Communicate technical concepts clearly to non-technical audiences Apply technical skills in XML, XSLT and cloud-based integrationpatterns Bring proven competence in leading Workday integration delivery within project-driven or Agile environments Workday Partner or Pro certifications are advantageous but not essential If you’re looking for a role where you can own and lead the integration workstream of a high-profile Workday programme, this could be your ideal next step. For more information, or More ❯
digital ecosystem. Key Responsibilities: Ensure the D365 CE programme aligns with business strategy and the target operating model. Map the current IT landscape, including legacy CRM/ERP systems, integration layers, data flows, middleware, and reporting platforms. Define the future-state architecture and integration strategy for D365 CE within the wider IT estate. Establish standards for APIs, message … . Experience with platforms such as NetSuite, Boomi, and D365 CE is highly desirable. Deep knowledge of cloud platforms (AWS, Azure, GCP) and hybrid environments. Expertise in data architecture, integrationpatterns, APIs, and microservices. Familiarity with cybersecurity principles, DevOps, and ITIL practices. More ❯
FATF, Wolfsberg). Data and analytics skills: SQL or query tools, data lineage, data quality assessment, and using data insights to validate rules and measure effectiveness. Technical fluency: APIs, integrationpatterns, system data flows, and architecture considerations in AML/KYC platforms. Experience in migration and modernisation projects, including legacy platform upgrades and cloud adoption. Understanding of performance More ❯
to-end GenAI solutions using LLMs, multimodal models, and custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integrationpatterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and More ❯
Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integrationpatterns, including prompt orchestration and tool calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user-centric design for AI interfaces and intelligent automation. Experience with More ❯