UBDS

Solutions Engineer

• Design solution elements across a range of technologies and specialisms
• Architect solutions within public cloud providers such as AWS and Azure
• Apply knowledge of serverless computing, IaaS, SaaS, and PaaS
• Work with core Microsoft products including AD, SQL Server, Exchange, M365, Teams, SharePoint, SCCM, WSUS, and MDT
• Work with Senior Architects to identify core and project-specific delivery resources
• Assure and, where applicable, produce low-level designs and end-to-end cloud architecture solutions
• Manage and update platform roadmaps, patterns, and standards within the architecture practice
• Undertake digital transformation discovery exercises for small and medium organisations, producing impact assessments and recommendations
• Ensure architectural governance over cloud platform solution delivery
• Engage IT and business representatives to enable architectural change
• Consult with other architecture team members
• Interface with third-party product and service suppliers
• Act as an escalation point for technical and architectural issues

Senior Solutions Architect

SDET

• Define and execute functional, integration, regression, and end-to-end test strategies
• Develop and maintain automated test coverage across applications, APIs, and workflows
• Support UAT, defect management, release testing, and production readiness
• Test APIs and integrations across internal and external services
• Validate AI-generated outputs for accuracy, relevance, consistency, and grounding
• Assess RAG and retrieval performance
• Establish repeatable evaluation approaches and datasets for AI-enabled functionality
• Investigate, reproduce, and resolve defects with engineering teams
• Provide quality evidence for release and go-live decisions
• Work with engineering, product, and operational teams throughout the development lifecycle

Senior QA / Test Engineer - AI & Platform

Recruitment

• Lead end-to-end recruitment across Cloud, Data, Cyber Security, AI, Test Engineering and other technical vacancies
• Recruit across all levels, from graduates and early careers to senior specialists and leadership appointments
• Support recruitment across wider consulting and business functions, including Project & Programme Management, Business Analysis, Change Management, Finance, Commercial and Business Operations
• Proactively find and engage talent through LinkedIn Recruiter, direct sourcing, referrals and professional networks
• Identify and engage security-cleared candidates in specialist and competitive talent markets
• Build proactive talent pipelines for immediate vacancies and future capability requirements
• Partner with hiring managers and senior stakeholders to understand requirements, refine briefs and develop recruitment strategies
• Provide insight on external talent markets, candidate availability, expectations and remuneration
• Guide candidates through interview, assessment and offer processes
• Manage multiple priorities and fast-moving deadlines while maintaining candidate experience
• Maintain accurate recruitment activity in the ATS
• Use recruitment data and market insight to improve talent attraction and recruitment

Talent Acquisition Partner

Data Engineer

• Design, build and maintain scalable data platforms and data pipelines within AWS
• Develop ETL/ELT processes for ingesting, transforming and processing data from multiple sources
• Implement data solutions using AWS S3, Glue, Lambda, Athena, Redshift, EMR and related technologies
• Design data models and storage approaches for analytical and operational requirements
• Develop solutions using Python, SQL and modern data engineering frameworks
• Apply infrastructure-as-code and automation to deploy and manage data platforms
• Build data quality, validation, monitoring and observability into engineering solutions
• Address security, governance and data protection requirements throughout solution design and delivery
• Collaborate with architects, cloud engineers, security specialists, SMEs and client teams
• Engage clients and technical stakeholders to understand requirements, explain technical decisions and provide recommendations
• Troubleshoot complex data, performance and integration issues across development and production environments
• Define and promote data engineering standards, reusable patterns and best practices
• Mentor and support engineers and encourage knowledge sharing and continuous improvement
• Contribute to technical decisions and provide technical ownership and engineering leadership

Senior AWS Data Engineer

DevOps Engineer

• Lead the design, build and evolution of secure AWS cloud infrastructure and DevOps capabilities
• Design and maintain scalable, secure and automated CI/CD pipelines using GitLab or GitHub
• Own infrastructure-as-code approaches using Terraform
• Define and promote engineering standards, patterns and best practices across delivery teams
• Embed automation across build, test, deployment and operational workflows
• Apply DevSecOps and security-by-design principles throughout the delivery lifecycle
• Design, deploy and operate containerised workloads using Kubernetes and AWS services such as ECS and EKS
• Work with architects and security specialists on cloud architecture, networking, identity, security and integration requirements
• Implement monitoring, observability, logging and alerting for resilient services
• Provide technical leadership during complex troubleshooting and resolution of infrastructure and deployment issues
• Engage with clients and technical stakeholders to understand requirements, explain technical decisions and provide recommendations
• Mentor and support engineers, encouraging knowledge sharing and continuous improvement
• Identify opportunities to improve engineering practices, automation, reliability and delivery efficiency

Senior AWS DevOps Engineer

• Work with clients, Sales, bid teams, delivery teams and SMEs to understand complex requirements and shape clear, compelling and deliverable engagements
• Lead and support client discovery sessions, workshops and technical discussions
• Shape opportunities into clear, credible and deliverable engagements
• Develop SOWs, proposals, technical responses and supporting bid collateral
• Define scope, outcomes, deliverables, assumptions, dependencies, risks and exclusions
• Support bid teams with technical responses to RFPs, RFIs, tenders and frameworks
• Coordinate architects, engineers and SMEs across cloud, infrastructure, networking, workplace, cyber security, data and AI, including 3B Data Security specialists
• Turn specialist input into coherent client propositions and delivery approaches
• Incorporate cyber security, risk, governance and security-by-design considerations into proposed engagements
• Develop work packages, resource requirements and estimates with delivery teams and SMEs
• Present proposals and recommendations to senior business, technology and security stakeholders
• Support transition from solution shaping into delivery

Senior Solutions Architect – Solution Shaping

Manager

• Lead end-to-end delivery of Microsoft 365 projects, initially focused on large-scale SharePoint Classic to Modern migration
• Develop and manage project plans, milestones, dependencies, risks and issues across multiple workstreams
• Coordinate discovery, rationalisation, content remediation, testing, cutover and post-migration support
• Work with technical, business change and adoption teams to embed new solutions successfully
• Manage internal teams, third-party suppliers and service providers against agreed deliverables and commitments
• Engage senior, technical and non-technical stakeholders and provide clear reporting on progress, risks and delivery outcomes
• Ensure projects meet governance, security, quality and user requirements

Senior Delivery Manager – M365, Sharepoint Migration

Platform Engineer

• Design and implement AI architectures and production AI solutions
• Help clients move AI solutions from experimentation into secure production delivery for large-scale user bases
• Contribute to platform standards covering governance, observability, security, orchestration, and operational support
• Participate in technical discovery and client architecture discussions
• Work with delivery, account, and capability teams to shape AI solutions and opportunities
• Provide technical guidance and support to engineers across AI engineering delivery
• Develop reusable engineering patterns, accelerators, and reference architectures
• Contribute to internal AI enablement and automation initiatives
• Collaborate with architects and technical leads to align solutions with cloud, data, security, and enterprise architecture requirements

Senior AI Platform Engineer

AI Engineer

• Partner with clients to define AI strategies, adoption roadmaps and investment priorities.
• Design enterprise AI platforms, operating models and governance frameworks.
• Lead workshops with business and technology stakeholders to shape AI transformation programmes.
• Advise clients on technologies including Microsoft 365 Copilot, Copilot Studio, Azure OpenAI, Claude and other enterprise AI platforms.
• Design secure, scalable architectures for AI agents, knowledge management and Generative AI solutions.
• Produce high-quality client deliverables including strategies, operating models, roadmaps and architectures.
• Provide architectural and delivery leadership across AI engagements.
• Support business development, proposition development and technology partnerships.
• Mentor consultants, architects and engineers within the AI practice.