Vallum Associates

The Role: The Environment Implementation Coordinator is responsible for supporting the setup, configuration, and maintenance of project and program environments across development, testing, and production landscapes. This role ensures that environments are provisioned efficiently, aligned with project timelines, and meet required standards for stability, security, and performance. The ideal candidate will have hands-on experience in environment coordination, infrastructure setup, and working closely with cross-functional technical teams. Key Responsibilities: Environment Setup & Coordination Coordinate the provisioning, configuration, and deployment of environments (Dev, Test, UAT, Prod) Ensure readiness of environments in line with project schedules and milestones Work with infrastructure, cloud, and DevOps teams to enable seamless environment setup Maintain environment inventory, configurations, and access controls Release & Deployment Support Support deployment activities across multiple environments Coordinate environment availability during releases, testing cycles, and production rollouts Ensure environment stability during code deployments and patch updates Track and resolve environment-related defects and issues Stakeholder & Delivery Support Act as a liaison between development, QA, DevOps, and infrastructure teams Collaborate with project managers and delivery teams to align environment readiness with delivery plans Participate in Agile ceremonies where needed to represent environment dependencies Provide regular updates on environment status, risks, and issues Environment Monitoring & Maintenance Monitor environment performance, availability, and usage Identify and resolve environment-related issues proactively Manage environment refresh cycles, data setup, and backups Maintain environment documentation, runbooks, and standard operating procedures Compliance & Security Ensure environments comply with organizational security, governance, and access policies Support audit and compliance requirements Manage environment access controls and adhere to data protection standards Work within secure environments when required Technical Skills Experience in environment coordination, infrastructure support, or DevOps support roles Knowledge of environment provisioning across cloud (AWS/Azure/GCP) or on-premise systems Familiarity with CI/CD pipelines, deployment tools, and environment management tools Understanding of configuration management, release management, and system integration Basic knowledge of scripting (Shell, PowerShell, Python) is desirable

Role: ServiceNow Architect Location: Edinburgh, UK Type of Job: Contract Hybrid Mode: Hybrid 3 Days Onsite in a week JD: ServiceNow Architect being one of the Niche skillsets and we are trying to get resource both in Onshore & Offshore for the new upcoming project requirements. JD Experience: • 10+ years of IT experience with 5+ years experience in ServiceNow Architecture Certifications • ServiceNow CSA (Certified System Administrator) • ServiceNow CAD (Certified Application Developer) • ITIL Foundation • Experience in JavaScript, AngularJS, HTML, and ITSM best practices. Responsibilities: • Proven experience as a ServiceNow Architect • Expertise in ServiceNow scripting (Business Rules, Client Scripting, Flow Designer) • Deep knowledge of ServiceNow modules (ITOM/ITAM/BCM/S2P/IRM/TPRM) • Strong customer service and excellent verbal/written communication • Hands-on experience in ServiceNow development & integrations • ServiceNow certifications such as CAD, CSA, CIS(ITSM/Discovery/Event Management/IRM/TPRM) • Experience in Agile/Scrum methodology, handling end-to-end project lifecycle • Knowledge of integrations with enterprise monitoring tools • Good understanding of CMDB, CSDM concepts, CI relationships, and data quality controls • Strong experience in Flow Designer, Workflows, and Service Catalog development • Experience with integrations using REST/SOAP APIs, MID Server, and data imports • Familiarity with ServiceNow upgrade planning, regression testing, and best-practice configurations Essential skills/knowledge/experience: • Recognize the impact of technical decisions on outcomes, Identify the elements of an enterprise. • Understands customer s vision and how ServiceNow supports customer s digital transformation journey • Translates business objectives to outcomes into a customer roadmap • Creates and manages technical governance processes • Provide technical guidance to developers, ensuring adherence to best practices and creating technical documentation, designs documents, and blueprints • Ensure high-quality design, maintain security/compliance protocols, and perform performance tuning to ensure stability • Define end-to-end ServiceNow architecture aligned with enterprise standards and roadmap, designing across ITIL modules (ITSM, ITOM, ITAM, CMDB) Desirable skills/knowledge/experience: • Excellent communication and interpersonal skills • Strong problem solving and analytical abilities • Good team management and time management skills • Ability to work fast-paced project environments

Key Skills Design and implement multimodal customer experiences across messaging, digital and voice channels. Key Responsibilities Design customer-facing agents; define voice interaction patterns; manage interruption handling and escalation; implement channel integration patterns; establish conversational standards and governance. Role Purpose Conversational AI, Voice AI, Contact Centre AI, Speech Technologies, Vertex AI Speech Services, Dialogflow CX, Prompt Engineering, Customer Experience Design, GCP

Key Skills Principal Agentic AI Architect Role Purpose Lead the overall Conversational AI and Agentic AI architecture strategy, delivery governance and knowledge transfer into client architecture and engineering teams. Key Responsibilities Define target architecture; lead technical design authority; establish reusable architecture patterns; govern implementation; mentor architects and engineers; create reference architectures and engineering playbooks. Key Skills Enterprise Architecture, Agentic AI, Multi-Agent Systems, LLM Orchestration, Context Engineering, AI Governance, Google Cloud Platform (GCP), Vertex AI, Banking Architecture, Stakeholder Management

Role : DevOps Engineer(IAM) Location: - Sheffield , UK Type of Job: Contract (6 Months) Mode of work: Hybrid 2-3 Days on site in a week JD Key Skills & Experience Technical Skills Infrastructure as code (Terraform & GCP Provisioning) Terraform core, GCP Infra, Policy as code, develop the capability to manage, maintain and write policies, Containerization & Kubernetes (GKE), Docker, Kubernetes, Helm / Kustomize, GKE Ops CI/CD engineering, pipeline authoring, artifacts management, testing automation, deployment strategy Data pipeline and DevOps (KAFKA / PubSub) Kafka basics, schema registry, streaming infra and monitoring Graph platform engineering, Neo4j basics, backups, recovery and DR GDS/APOC, observability DevSecOps & platform security, security scanning, IAM and identity, network security, compliance Release engineering and governance, release ops, change management, documentation Regionalisation and compliance, regional deployments and failover, data residency, conditional access Soft Skills Strong problem-solving and troubleshooting capabilities. Ability to work collaboratively across security, engineering, and operations teams. Excellent communication and documentation skills. Experience working in Agile/Scrum environments. Experience of Privileged Access Management and identity access management Understanding and experience of technologies deployed at a large scale in a global IT enterprise Experience of working in an Agile team managing workload in Jira and engagements in Jira Service Desk Ability to adapt and understand new technologies being self-motivated to learn Strong interpersonal, influencing, communication and report-writing skills Ability to interact appropriately with users of various technical skill levels Ability to work in a multi country, culturally diverse and time-zone separated role.

Your responsibilities: Design and develop agentic AI systems capable of multi-step reasoning, planning, and action execution Build scalable AI applications using Python as the core development language Develop and integrate solutions using Azure OpenAI Services, including prompt engineering, embeddings, and fine-tuning strategies Implement orchestration pipelines using Semantic Kernel and LangGraph for multi-agent workflows Integrate tools, APIs, and enterprise systems using MCP (Model Context Protocol) or similar frameworks Design memory, state management, and context-aware agent behaviors Optimize performance, cost, and latency of LLM-based solutions Collaborate with solution architects, product teams, and stakeholders to translate business use cases into AI solutions Ensure governance, security, and responsible AI practices are embedded into solutions Your Profile Key Responsibilities Design agent architectures Define orchestration patterns Design tool strategy and integration approach Lead implementation of AI services Establish coding standards and best practices Guide evaluation and safety approaches Support production deployments and troubleshooting Hands-on Skills Required Design multi-agent solutions Design RAG architecture Implement complex orchestration workflows Build scalable AI microservices Define AI governance patterns Troubleshoot production AI solutions