Infoplus Technologies UK Ltd

Client: Wipro Location; Manchester (2 days onsite/week) Role: Splunk Consultant/Architect Rate: INSIDE IR35 1) Services & Technologies CTB or RTB Services: CTB In-scope technologies/products: Splunk, Linux Skillsets required: Strong hands-on experience with Splunk Enterprise and/or Splunk Cloud and certified to architect or consultant level Experience with monitoring, logging, and observability solutions Strong experience with data onboarding, parsing, and transformation Good understanding of Linux platform and infrastructure Experience in incident, problem, and change management processes Ability to troubleshoot complex issues and perform root cause analysis Experience working in enterprise-scale environments Scope of services: Maintain Splunk platform (Cloud/ITSI) to meet business and operational requirements Provide support for production issues, including incident, problem, and change management Optimize platform performance, data ingestion, and search efficiency Support platform upgrades, migrations, and onboarding activities Collaborate with engineering, DevOps, and application teams to onboard workloads and improve observability Monitor and assess the performance of dashboards, reports, and use cases using tools and SPL Drive automation and simplification of operational processes Ensure adherence to security, compliance, and audit requirements Contribute to service improvement initiatives, including reliability, resilience, and cost optimization Deliver optimization for monitoring, alerting, and observability solutions to support critical applications and services Participate in on-call/24x7 support Rota where required "no landed resources"

Job Title: Senior Data Engineer Location: London, UK (3 days in the office) SC Cleared: Required Job Type: Full-Time Experience: 8+ years Salary - Up to 65k + Benefits GBP (Including 10%VP) Job Summary: We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities: ? Data Pipeline Development & Optimisation: o Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (eg, APIs, databases, financial data providers) into the Azure Databricks platform. o Optimise data pipelines for performance, efficiency, and cost-effectiveness. o Implement data quality checks and validation rules within data pipelines. ? Data Transformation & Processing: o Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. o Develop and maintain data processing logic for cleaning, enriching, and aggregating data. o Ensure data consistency and accuracy throughout the data life cycle. ? Azure Databricks Implementation: o Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. o Implement best practices for Databricks development and deployment. o Optimise Databricks workloads for performance and cost. o Need to program using the languages such as SQL, Python, R, YAML and JavaScript ? Data Integration: o Integrate data from various sources, including relational databases, APIs, and streaming data sources. o Implement data integration patterns and best practices. o Work with API developers to ensure seamless data exchange. ? Data Quality & Governance: o Hands on experience to use Azure Purview for data quality and data governance o Implement data quality monitoring and alerting processes. o Work with data governance teams to ensure compliance with data governance policies and standards. o Implement data lineage tracking and metadata management processes. ? Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. o Communicate technical concepts effectively to both technical and non-technical audiences. o Participate in code reviews and knowledge sharing sessions. ? Automation & DevOps: Implement automation for data pipeline deployments and other data engineering tasks. o Work with DevOps teams to implement and Build CI/CD pipelines, for environmental deployments. o Promote and implement DevOps best practices. Essential Skills & Experience: ? 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. ? Strong proficiency in Python and Spark (PySpark) or Scala. ? Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. ? Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. ? Experience with data architecture design and data pipeline optimization. ? Proven expertise with Databricks, including hands-on implementation experience and certifications. ? Experience with SQL and NoSQL databases. ? Experience with data quality and data governance processes. ? Experience with version control systems (eg, Git). ? Experience with Agile development methodologies. ? Excellent communication, interpersonal, and problem-solving skills. ? Experience with streaming data technologies (eg, Kafka, Azure Event Hubs). ? Experience with data visualisation tools (eg, Tableau, Power BI). ? Experience with DevOps tools and practices (eg, Azure DevOps, Jenkins, Docker, Kubernetes). ? Experience working in a financial services or economic data environment. ? Azure certifications related to data engineering (eg, Azure Data Engineer Associate).

Job description Job Title: Test Manager Location: Glasgow, UK (2-3 days WFO) Duration: 6 months (Inside IR35) Job Description: Key Skills & Experience Required: Risk Management Reporting and Analysis Strategic Thinking Business Process Re-Engineering (BPR) Professional Collaboration Change and Transformation Business Analysis Digital and Technology Change Management Functional Design Business Acumen Excellent Written Communication Risk & Controls Process Improvement Mandatory Expectations: Strong experience in Test Management within large-scale transformation programs. Proven experience in risk assessment, controls, reporting, and stakeholder management. Ability to drive business process improvements and technology change initiatives. Excellent communication and client-facing skills.

Act as the onsite Procurement Solution Architect and business process lead for Oracle Fusion Procurement. Lead client workshops, requirements gathering, fit-gap analysis, and solution design sessions. Own end-to-end solution design and implementation of: Procurement Purchasing Self-Service Procurement Supplier Management Procurement Approvals & Workflows Define procurement operating model, purchasing controls, approval hierarchies, and compliance processes. Provide architectural guidance for integrations, reporting, data migration, and security design. Review solution configurations and support SIT, UAT, cutover, go-live, and hypercare activities. Advise stakeholders on Oracle leading practices and procurement process optimization. Required Expertise Deep expertise in: Oracle Fusion Procurement Cloud Oracle Purchasing Supplier Qualification & Supplier Management Requisition-to-Purchase Order life cycle Procurement Approvals and Controls Knowledge of: Inventory and Supply Chain touchpoints Sourcing and Supplier Collaboration Procurement Reporting (OTBI/BIP) Oracle Integration Cloud (OIC) Data Migration and Conversion activities Strong stakeholder management, workshop facilitation, and consulting skills.

Your responsibilities: Own the overall solution architecture for the Amazon Connect platform, including Voice routing and contact flows, IVR design and call life cycle, Agent experience and operational model Lead and contribute to deep architectural discussions, ensuring solutions follow AWS Well-Architected Framework principles (security, reliability, scalability, performance efficiency, and cost optimization). Define logical, physical, and integration architectures aligned to AWS best practices Design and govern Amazon Connect instances and environments Contact flows, queues, routing profiles, High-availability and multi-region design considerations Ensure scalability, performance, and service resilience are Embedded into the solution design Define integration patterns using AWS Lambda, APIs and event-driven mechanisms, data persistence and downstream system integrations Engage with customers at both business and technical levels to understand requirements and provide expert guidance on Amazon Connect, Lex, Lambda, Kendra, Bedrock (GenAI) and broader AWS AI/ML services. Ensure Real Time and post-call data capture, enrichment, and analytics using Amazon Connect analytics and intelligence features, including Contact Lens for transcription, sentiment, and quality insights, Call recording, monitoring, and reporting Ensure analytics solutions meet operational, compliance, and CX reporting needs Define the security architecture for Amazon Connect, including AWS IAM roles and least-privilege access Your Profile Essential skills/knowledge/experience: Certified AWS Solution Architect, with real-life solution architecture experience Good understanding of contact center technology landscape. Proven knowledge of Contact Center technologies including Interactive Voice Response (IVR), Voice Biometrics, Natural Language Processing, Telephony Integration CTI, Automatic Call Distribution ACD, Call Recording and Automation using AI/ML. Deep expertise on AWS contact center relevant services. Sound experience in developing Amazon Connect flows, AWS Lambda and Lex bots Deep functional and technical understanding of APIs and related integration experience Functional and technical understanding of building API-based integrations with Salesforce, Service Now and Bot platforms Ability to understand customer challenges and requirements, ability to address these challenges/requirements in a differentiated manner. Ability to help the team to implement the solution, sell, deliver cloud contact center solutions to clients. Experience with AWS technologies such as AWS Lambda, Amazon Lex, DynamoDB, S3, Sagemaker, Contact Lens, Transcribe etc. and how they may be leverage alongside Amazon Connect to enhance contact centre performance Well versed with AWS platform and technology services Good communication skills Have strong stakeholder management & engagement skills, effective at all levels Extensive knowledge of infrastructure planning and provisioning, security considerations, design and deployment, as well as system life cycle management Design and deployment of AWS/Hybrid solutions utilising a Cloud Native stack Desirable skills/knowledge/experience: Excellent communications skills Ability to develop requirements based on leadership connects Ability to work effectively in a remote, virtual, global environment

Job Summary We are seeking an experienced Kong API Gateway Specialist to lead the development, implementation, and governance of our enterprise API ecosystem. This role will be responsible for establishing API governance standards, designing and managing API life cycle processes, and driving the adoption of best practices across integration and Middleware platforms. The ideal candidate will possess deep expertise in Kong API Gateway, API management, security, integration architecture, and governance frameworks. They will work closely with enterprise architects, development teams, security teams, and business stakeholders to ensure APIs are secure, scalable, reusable, and aligned with organisational standards. Key Responsibilities API Governance & Strategy Define and implement an enterprise-wide API Governance Framework. Establish API standards, design principles, naming conventions, and development guidelines. Develop and maintain API life cycle management processes, including design, development, testing, deployment, versioning, retirement, and monitoring. Create and govern API catalogue requirements, metadata standards, and documentation practices. Drive API reusability and consistency across business domains. Kong API Gateway Administration Design, implement, configure, and manage Kong API Gateway solutions. Develop policies for traffic management, throttling, rate limiting, routing, and load balancing. Manage Kong plugins and integrations to support security, authentication, and monitoring requirements. Ensure high availability, performance, scalability, and operational resilience of the API platform. Security & Compliance Define and enforce API security standards and controls. Implement authentication and authorisation mechanisms including OAuth2, OpenID Connect, JWT, and API key management. Conduct security reviews and support regulatory compliance requirements. Work closely with cybersecurity teams to ensure secure API exposure and consumption. Integration & Middleware Collaborate with integration teams to define API-led integration patterns. Support enterprise integration initiatives involving Middleware and microservices architectures. Review and approve API designs to ensure alignment with governance standards and architectural principles. API Monitoring & Reporting Establish API performance metrics, KPIs, and governance dashboards. Monitor API usage, health, reliability, and compliance. Produce governance reports and recommendations for continuous improvement. Stakeholder Engagement Act as the subject matter expert for API management and governance. Provide guidance and mentoring to development and integration teams. Facilitate governance reviews, architecture discussions, and design workshops. Required Skills & Experience Technical Skills Strong hands-on experience with Kong API Gateway (Enterprise or Open Source). Extensive experience in API management and governance. Strong understanding of RESTful APIs, OpenAPI Specifications (Swagger), and API design best practices. Experience implementing OAuth2, OpenID Connect, JWT, MTLS, and API security controls. Experience with API life cycle management and API cataloguing solutions. Strong understanding of integration technologies and Middleware platforms. Familiarity with cloud environments such as Azure, AWS, or GCP. Experience with CI/CD pipelines, DevOps practices, and infrastructure automation. Architecture & Governance Experience creating and implementing enterprise API governance models. Knowledge of enterprise architecture principles and integration patterns. Experience establishing API standards, policies, and operating models. Understanding of regulatory, compliance, and security considerations in API ecosystems. Preferred Skills Experience with developer portals and API marketplaces. Knowledge of service mesh technologies and microservices architecture. Experience with observability tools such as Grafana, Prometheus, Splunk, or Dynatrace. Familiarity with containerisation and Kubernetes. Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline. Relevant certifications in API management, cloud platforms, integration technologies, or Kong are highly desirable. Success Measures The successful candidate will: Establish a robust enterprise API Governance Framework. Improve API consistency, security, and reusability across the organisation. Implement effective API life cycle management processes. Deliver a well-maintained API catalogue and governance model. Drive adoption of API standards and best practices throughout delivery teams.

Role: Identity Architect Employment Type: Permanent Security Clearance: Active SC Clearance (Mandatory) Location: Corsham, UK - Hybrid (2 days per week onsite) Please ensure: Only Active SC Cleared candidates are submitted The role requires someone who can set direction with senior stakeholders, provide clear design authority, and work closely with engineering, data and service teams on detailed technical issues. This includes identity schemas, attributes, data flows, APIs, microservices, integration patterns, workflow behaviour, platform configuration and live-service supportability. The successful candidate will help ensure the platform remains stable, supportable and capable of evolving over time, while reducing avoidable complexity across processes, integrations and technical components. Key Responsibilities Architecture Leadership Own the end-to-end architecture across development, data and service support workstreams. Provide technical direction across identity workflows, life cycle processes, integrations, data flows, platform behaviour and operational supportability. Act as the senior architecture point of contact for delivery teams, service teams, suppliers and customer stakeholders. Maintain architectural coherence across live-service change, backlog delivery, technical debt reduction and roadmap activity. Ensure design decisions are pragmatic, supportable and aligned to business value. Identity Platform Architecture Lead architecture across enterprise identity and access management capabilities. Provide oversight of identity life cycle processes including onboarding, profile changes, role and access changes, recertification, leaver handling, audit and reporting. Understand complex identity integrations across directories, authoritative sources, workflow systems, cloud-hosted services and downstream platforms. Support simplification of identity journeys, data feeds, interfaces and platform components. Identify opportunities to reduce avoidable customisation and use existing platform capability where appropriate. Technical Depth and Design Ownership Understand and challenge detailed identity designs, including schemas, attributes, data models, workflow rules, provisioning logic and integration behaviour. Review APIs, data feeds, directory integrations, microservices, ETL/transformation logic and platform configuration. Work with developers, data specialists, DevOps engineers and service teams to diagnose complex issues and make practical design decisions. Provide architecture support during defect analysis, root-cause investigation, service support and backlog refinement. Move comfortably between architecture diagrams, backlog items, logs, schemas, interface specifications and implementation detail. Identify where existing components should be retained, simplified, consolidated, retired or replaced with simpler patterns. Ensure architectural decisions are technically sound, supportable in live service, and understood by the teams who need to build and run them. Platform Improvement and Roadmap Review existing platform complexity, including interfaces, microservices, custom components and integration patterns. Shape practical options for reducing complexity and improving supportability. Support API-based integration patterns where they reduce complexity and improve resilience. Work with cloud/platform specialists to identify monitoring, resilience, containerisation and operational improvement opportunities. Provide architectural input into future identity patterns, including Microsoft Entra-aligned options where appropriate. Reduce complexity without driving unnecessary re-engineering or business disruption. Service Supportability Work closely with Service Operations, L2/L3 support, Data, Dev and DevOps teams to improve ownership and reduce dependency on specialist intervention. Support the development of runbooks, operational models, support routes and knowledge-transfer material. Ensure the architecture is supportable by BAU, not just deliverable by project teams. Help distinguish between application, data, infrastructure, supplier and service-operation ownership. Support incident and problem analysis where architectural input is required. Essential Experience Strong enterprise identity and access management experience. Proven experience as a lead or senior architect on complex live platforms. Experience working in secure government, public sector or similarly regulated environments. Strong understanding of identity life cycle, access management, workflow, audit, governance and integration patterns. Demonstrable ability to work at detailed technical level across identity schemas, data flows, APIs, microservices, platform configuration and live-service support issues. Experience working across application development, data, infrastructure, service operations and supplier teams. Ability to simplify complex technical landscapes and make pragmatic architecture decisions. Strong stakeholder management and communication skills. Active SC clearance. Desirable Experience Experience with enterprise IAM platforms such as OpenText/NetIQ, SailPoint, Microsoft Entra, ForgeRock, CyberArk, Okta or similar. Microsoft Entra/Azure AD/M365 identity integration experience. AWS-hosted application or platform experience. API gateway, LDAP, directory services, data feeds and enterprise integration experience. Experience with microservices, ETL patterns, workflow engines or complex integration platforms. Experience of service transition, BAU readiness and operational handover. Experience modernising or simplifying Legacy-to-cloud services. Familiarity with secure-by-design principles, auditability and regulated-service operation. This is the most important role. Immediate start We need an established senior architect who can take ownership of architecture across the Identity service. This must be someone with real technical leadership, not a slideware/governance-only architect. They need to guide the team, take accountability and get into the detail when required. Strong enterprise IAM experience is essential. Exposure to SailPoint, Okta, NetIQ/OpenText, Microsoft Entra or similar IAM platforms would be relevant. NetIQ is useful but not a deal-breaker. The candidate must be credible with engineers, architects, data specialists, Service Operations and senior stakeholders. They should be comfortable across schemas, data flows, APIs, microservices, identity life cycle, integrations, platform configuration and live-service supportability. Look for Established senior/lead architect profile Strong enterprise IAM experience Secure government/public sector/regulated experience Technical depth across identity platforms, integrations, schemas and APIs Ability to simplify complex platforms and make pragmatic decisions Credibility with engineers and senior stakeholders

Responsibilities: Develop and maintain software applications in C/C++ for Embedded devices Linux system programming, Embedded development experience, device bring up experience and debugging skills Experience with tools like Git and Jira Collaborate with cross-functional teams to ensure seamless communication and integration of network components Preferred Skills: Experience working with Embedded networking products and being proficient in protocols such as VoIP/SIP, DHCP, FTP/TFTP, and SNMP/TR069 Work experience in networking features (Routing, Bridging, NAT, IPv6, Firewall, QoS, IPSec, VPN) Knowledge of the WAN manager Experience with Wi-Fi protocols/EasyMesh/Opensync Hands on experience in GUI Experience in Cable gateway/DSL/Fiber/modem feature development Solid understanding of the RDK-B framework for efficient development and deployment.

Key Outcomes Supplier resources will support delivery of the following outcomes, aligned to ELH governance, readiness criteria, and defined deployment objectives: ELH laptops built using Client -approved images: ICA Staff Golden Image OT Staff Standard Image Devices validated prior to end-user handover using ELH-provided checklists and functional validation standards Deployment approach validated through a controlled Trial phase, confirming execution readiness and adherence to agreed processes Rollout executed in a flexible, wave-based model, with sequencing and throughput aligned to ELH-approved user readiness, site readiness, and BAU dependencies Complete device traceability maintained from receipt through to end-user handover, including full chain-of-custody and audit-ready records End-user handover completed with documented validation and signed user acknowledgement confirming successful delivery Existing user devices collected and returned in accordance with agreed processes, with chain-of-custody and logistics records maintained throughout the replacement process. Embedded hypercare support provided during Trial and Rollout phases to support user adoption and operational stability Deployment-related issues logged, tracked, triaged, and resolved within Supplier scope, or escalated to the appropriate Client teams for resolution Creation and maintenance of knowledge base (KB) articles for common deployment-related L0/L1 issues to support BAU operations Comprehensive deployment documentation produced, including build evidence, validation records, handover documentation, issue logs, and operational reporting Final deployment reporting delivered, including performance insights, issue trends, hypercare feedback, asset reconciliation, and lessons learned Structured BAU transition supported through provision of documentation, known issue logs, KB articles, and formal handover artefacts In-Scope Activities Supplier will provide deployment resources to perform the following activities, aligned to ELH governance, readiness criteria, and a flexible, wave-based delivery model. Mobilisation and Readiness Attend project kick-off and confirm roles, responsibilities, governance structure, reporting cadence, and escalation routes Complete knowledge transfer on Client -approved SCCM build process and deployment procedures Confirm access to required tools, sites, systems, and repositories, subject to Client provisioning Review ELH-provided deployment artefacts, including validation checklists, handover templates, reporting formats, and readiness criteria Align on RACI, deployment processes, wave governance, and hypercare operating model Trial Deployment Execute a controlled Trial deployment using Client -approved images and Task Sequences Validate build execution, functional checks, end-user handover process, issue logging, and hypercare approach Capture user feedback, deployment observations, and operational insights Provide deployment evidence to support ELH-governed Trial sign-off Log, triage, and route any build, image, application, network, or security-related issues to the appropriate Client teams for resolution Wave-Based Rollout Execute deployment activities across agreed UK distribution sites using a flexible, wave-based approach Initiate deployment activities only upon ELH confirmation of user and site readiness for each wave Perform device build execution using approved SCCM images and Task Sequences Conduct post-build validation and functional checks prior to release Coordinate packaging, labelling, and logistics for device distribution Perform structured end-user handover using ELH-approved checklists Update asset records in line with Client -provided processes, access, and data standards Maintain end-to-end deployment, handover, and chain-of-custody records Provide regular reporting on deployment progress, volumes, issues, risks, dependencies, and forward plan Deliver deployment activities in alignment with ELH-approved rollout plans, with throughput and sequencing adjusted based on readiness, resource availability, and operational conditions Coordinate the collection of existing user devices at the point of replacement and arrange secure return to the designated location. Supplier responsibility is limited to physical collection, chain-of-custody tracking, and logistics coordination. Coordinate with Client EUC teams, where required, to align deployment and device replacement activities. Responsibility for provisioning, configuration, and replacement of IT laptops remains with Client EUC teams and is outside the scope of this engagement Hypercare Support Provide first-line (L0/L1) hypercare support for deployed users during the agreed support window Act as the initial point of contact for deployment-related queries and issues Perform L2 triage and route issues to relevant BAU teams for resolution Track issues through to resolution or formal handover, ensuring visibility and traceability Maintain escalation tracker and support logs Create and maintain knowledge base articles for common deployment-related L0/L1 issues BAU Handover and Closure Confirm all deployed devices are built, validated, handed over, and recorded in the asset management system Reconcile deployment records with asset records to ensure completeness and accuracy Provide consolidated issue logs, including resolved items and formally handed-over issues Transfer knowledge base articles and deployment documentation to BAU teams Deliver final completion report, including deployment performance, issue trends, and lessons learned Support formal sign-off and transition to BAU support model under ELH governance