Lead architectural reviews and provide authoritative guidance on design decisions
Implement and optimize complex cloud security controls and compliance frameworks
Conduct cloud cost optimization assessments and provide strategic recommendations to maximize ROI
Mentor and provide technical leadership to junior cloud engineers and architects
Lead client engagements as the primary technical authority on cloud solutions
Drive the adoption of cloud best practices and emerging technologies across the organization
Guide clients on the secure adoption and integration of enterprise AI platforms (such as Microsoft 365 Copilot, Copilot Studio, Claude Enterprise, or ChatGPT Enterprise), including governance and data handling considerations
Advise on data readiness for AI, including sensitivity labeling, permissions hygiene, and oversharing remediation in Microsoft 365 and related platforms
Architect multi-region solutions with sophisticated disaster recovery and business continuity planning
Develop and maintain cloud architecture standards, patterns, and governance frameworks
Translate complex business objectives into comprehensive technical architectures
Evaluate and recommend new cloud services and technologies to solve advanced business challenges
Lead proof-of-concept initiatives for emerging cloud technologies
Provide thought leadership on cloud strategy and roadmap development
Skills
Must be able to articulate complex technical architectures to executive leadership and diverse stakeholders
Ability to deliver innovative, enterprise-grade technology solutions for clients
Ability to lead projects under pressure and with competing priorities
Highly analytical thinker with advanced troubleshooting and problem-solving skills
Must have availability to occasionally work nights and some weekends
Expert knowledge of multiple major public cloud platforms (Azure, AWS, and/or Google Cloud) including advanced networking, compute, security, IAM, and cost optimization
Expert technical skills with Windows Server Technologies, including Active Directory and hybrid identity solutions
Proficiency with git and version control in conjunction with Azure DevOps repositories
Deep familiarity with containerization, Kubernetes, and cloud-native application architectures
Expert understanding of Windows and Linux environments at the enterprise scale
Expert understanding of deploying to Azure using Terraform and other Infrastructure as Code tools
Advanced understanding of deploying to Azure using CI/CD processes with complex pipelines
Advanced experience with administering Microsoft Fabric
Ability to align cloud solutions to complex business needs and strategic objectives
Solid proficiency in PowerShell and/or Python with working familiarity in Bash and other scripting languages
Ability to read, understand, and optimize complex code and infrastructure configurations
Deep understanding of cloud economics and ability to optimize costs at enterprise scale
Expert knowledge of security frameworks, compliance requirements, and risk management
Fundamental understanding of how generative AI and large language models work, including their limitations (hallucination, prompt injection, non-determinism) and practical mitigations for production use
Working knowledge of enterprise AI platforms such as Microsoft 365 Copilot, Copilot Studio, Claude Enterprise, and ChatGPT Enterprise, including their security, governance, and data handling considerations
Understanding of AI skills and agentic behavior, including tool use, orchestration patterns, and failure modes
Working knowledge of Microsoft Purview, particularly Data Loss Prevention (DLP), Information Protection, and Insider Risk Management, and how these underpin safe enterprise AI adoption
Familiarity with Azure AI Foundry, Amazon Bedrock, or Amazon SageMaker; Google Vertex AI experience a bonus
Understanding of data readiness principles for AI, including permissions hygiene, oversharing remediation, and sensitivity labeling
Awareness of AI regulatory considerations in the US or UK, particularly data residency and auditability (helpful, not required)
Qualifications
5+ years of experience in cloud engineering and architecture
Proven track record designing and implementing complex, enterprise-scale cloud solutions
Senior-level certifications in multiple cloud platforms (e.g., AWS Solutions Architect Professional, GCP Professional Cloud Architect, AZ-305)
Demonstrated experience leading cloud architecture for organizations or major clients
Expert understanding of multi-cloud and hybrid cloud architectures
Proven experience with cloud migration strategies and execution at scale
Knowledge of industry standard security frameworks and compliance requirements (e.g., SOC 2, ISO 27001, NIST, HIPAA, PCI-DSS)
Expert problem-solving, troubleshooting, and analytical skills
Demonstrated leadership abilities including mentoring junior team members
Advanced automation capabilities with Infrastructure as Code and CI/CD pipelines
Expert understanding of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and serverless architectures
Understanding of enterprise AI deployments (e.g., Microsoft 365 Copilot rollouts, Copilot Studio agents, Azure AI Foundry, Amazon Bedrock, Amazon Q Business, Google Vertex AI, or Gemini for Google Workspace)
Strong project management and stakeholder communication skills
Experience architecting solutions in highly regulated industries (financial services, healthcare) strongly preferred
Experience in the financial sector a plus
Experience working at an MSP a plus
The Benefits of Working for Abacus
Generous annual leave entitlement plus bank holidays (pro-rata if part-time working hours apply)
Gym discount
Life insurance
Comprehensive travel insurance for you and your family in line with scheme rules
Confidential well-being and counselling support
Competitive Compensation
Robust benefits package: medical, dental, vision, disability, life insurance
Contributory pension scheme
Company events
Private Medical and Dental Insurance
