Abacus Technology

Hosted IT solutions for financial services

Senior Cloud Architect

Cloud EngineeringUpdated on Nov 14

Full-timeNo salary listedIn-person

About the Job

Requirements

Must be able to articulate complex technical architectures to executive leadership and diverse stakeholders.
Must be able to deliver innovative, enterprise-grade technology solutions for clients.
Must be able to lead projects under pressure and with competing priorities.
Must have availability to occasionally work nights and some weekends.
Must have expert knowledge of multiple major public cloud platforms (Azure, AWS, and/or Google Cloud), including advanced networking, compute, security, identity and access management, and cost optimization.
Must have expert technical skills with Windows Server technologies, including Active Directory and hybrid identity solutions.
Must be proficient with Git and version control in conjunction with Azure DevOps repositories.
Must have deep familiarity with containerization, Kubernetes, and cloud-native application architectures.
Must have expert understanding of Windows and Linux environments at enterprise scale.
Must have expert understanding of deploying to Azure using Terraform and other Infrastructure as Code tools.
Must have advanced understanding of deploying to Azure using continuous integration and continuous delivery processes with complex pipelines.
Must have advanced experience administering Microsoft Fabric.
Must be able to align cloud solutions to complex business needs and strategic objectives.
Must have solid proficiency in PowerShell and/or Python, with working familiarity in Bash and other scripting languages.
Must be able to read, understand, and optimize complex code and infrastructure configurations.
Must have a deep understanding of cloud economics and the ability to optimize costs at enterprise scale.
Must have expert knowledge of security frameworks, compliance requirements, and risk management.
Must have a fundamental understanding of how generative artificial intelligence and large language models work, including hallucination, prompt injection, and non-determinism, and practical mitigations for production use.
Must have working knowledge of enterprise artificial intelligence platforms such as Microsoft 365 Copilot, Copilot Studio, Claude Enterprise, and ChatGPT Enterprise, including their security, governance, and data-handling considerations.
Must understand artificial intelligence skills and agentic behavior, including tool use, orchestration patterns, and failure modes.
Must have working knowledge of Microsoft Purview, particularly Data Loss Prevention, Information Protection, and Insider Risk Management, and how these support safe enterprise artificial intelligence adoption.
Must understand data-readiness principles for artificial intelligence, including permissions hygiene, oversharing remediation, and sensitivity labeling.
Must have at least five years of experience in cloud engineering and architecture.
Must have a proven track record designing and implementing complex, enterprise-scale cloud solutions.
Must hold senior-level certifications in multiple cloud platforms, such as AWS Solutions Architect Professional, GCP Professional Cloud Architect, or AZ-305.
Must have demonstrated experience leading cloud architecture for organizations or major clients.
Must have expert understanding of multi-cloud and hybrid cloud architectures.
Must have proven experience with cloud migration strategies and execution at scale.
Must have knowledge of industry-standard security frameworks and compliance requirements, such as SOC 2, ISO 27001, NIST, HIPAA, and PCI-DSS.
Must have demonstrated leadership abilities, including mentoring junior team members.
Must have advanced automation capabilities with Infrastructure as Code and continuous integration and continuous delivery pipelines.
Must have expert understanding of Infrastructure as a Service, Platform as a Service, Software as a Service, and serverless architectures.
Must understand enterprise artificial intelligence deployments, such as Microsoft 365 Copilot rollouts, Copilot Studio agents, Azure AI Foundry, Amazon Bedrock, Amazon Q Business, Google Vertex AI, or Gemini for Google Workspace.
Must have strong project management and stakeholder communication skills.
Candidates must be legally authorized to work in the country in which the position is based.

Responsibilities

Lead the design and implementation of complex cloud solutions for clients with sophisticated requirements.
Provide expert-level strategy and technical guidance on cloud architecture across multiple platforms.
Design and architect complex cloud solutions spanning multi-cloud and hybrid environments.
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 return on investment.
Mentor and provide technical leadership to junior cloud engineers and architects.
Lead client engagements as the primary technical authority on cloud solutions.
Drive adoption of cloud best practices and emerging technologies across the organization.
Guide clients on secure adoption and integration of enterprise artificial intelligence platforms, including Microsoft 365 Copilot, Copilot Studio, Claude Enterprise, and ChatGPT Enterprise, considering governance and data handling.
Advise on artificial intelligence data readiness, 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.

Desired Qualifications

Familiarity with Azure AI Foundry, Amazon Bedrock, or Amazon SageMaker; Google Vertex AI experience is a bonus.
Awareness of artificial intelligence regulatory considerations in the United States or United Kingdom, particularly data residency and auditability.
Experience architecting solutions in highly regulated industries such as financial services or healthcare is strongly preferred.
Experience in the financial sector is a plus.
Experience working at a managed service provider is a plus.

Summary

As a Senior Cloud Architect on our Cloud Engineering team, you will lead the design and implementation of complex cloud solutions for our clients across multiple cloud platforms. You will serve as a technical leader and subject matter expert, providing strategic guidance on cloud architecture, security, cost optimization, and the secure adoption of enterprise AI capabilities. You will mentor junior team members while driving innovation and best practices across the organization.

The Senior Cloud Architect designs complex, enterprise-grade cloud solutions that address sophisticated business requirements across multi-cloud and hybrid environments. Through expert-level understanding of cloud architecture and emerging technologies, you will lead architectural reviews, optimize cloud costs, and ensure solutions meet the highest standards of security, scalability, and reliability. This role requires deep expertise in multiple major cloud platforms and the ability to align technical solutions with business strategy, including the secure and well-governed integration of enterprise AI services into client environments.

Responsibilities (including, but not limited to the following)

Lead the design and implementation of complex cloud solutions for clients with sophisticated requirements
Provide expert-level strategy and technical guidance on cloud architecture across multiple platforms
Design and architect complex cloud solutions that span multi-cloud and hybrid environments
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

Work Authorization & Sponsorship

Candidates must be legally authorized to work in the country in which the position is based. At this time, we are unable to provide employment-based visa sponsorship for this position, now or in the future.

Use of Artificial Intelligence in Hiring

We may use artificial intelligence (AI) and other technology-assisted tools to support certain aspects of our recruiting and hiring process. These tools may assist with activities such as organizing, reviewing, or summarizing candidate information. AI-generated outputs or recommendations do not replace human judgment, and our hiring team maintains human review and oversight of employment decisions.

About the Company

Abacus Technology

Hosted IT solutions for financial services

Abacus Group, LLC provides hosted IT solutions tailored for alternative investment firms. Its flagship Abacus Cloud platform delivers IT as a service, letting investment managers access cybersecurity, storage, compliance, and other technology needs on demand through a managed, scalable enterprise cloud. The service pairs a financial-services focus with an end-to-end technology stack hosted in a secure cloud, simplifying IT management for firms that must meet strict regulatory requirements. Differentiators include industry-specific capabilities, scalable on-demand resources, and a proven, award-winning platform supported by offices across major U.S. cities and London. The goal is to give financial-services firms a ready-to-use, compliant, and scalable technology platform so they can focus on investment activities rather than IT management.

Company size: 501-1,000
Company stage: Not listed
Total funding: Not listed
Headquarters: New York City, United States
Founded: 2008

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