Summary

As a Cloud Architect on our Cloud Engineering team, you will design and implement scalable, resilient, secure, and cost-effective cloud solutions that address client business and technical requirements. You will serve as a technical subject matter expert for cloud services and work directly with clients and engineering teams to develop practical cloud architectures and support successful implementation.

The Cloud Architect should have expert knowledge of at least one major public cloud platform, such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP), with a strong understanding of cloud networking, security, infrastructure, cost management, and operational requirements.

This role will also support clients in the adoption of emerging cloud and enterprise AI capabilities. You will help evaluate and design solutions involving technologies such as Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Amazon Bedrock, and other enterprise AI platforms, with consideration for security, governance, data protection, and responsible adoption.

Responsibilities

Design scalable, resilient, secure, and cost-effective cloud architectures tailored to client business
requirements.
Design and implement cloud solutions across public cloud and hybrid environments.
Serve as a cloud services subject matter expert for clients and internal engineering teams.
Participate in client meetings and communicate cloud architecture recommendations to technical and
business stakeholders.
Develop cloud architecture designs that address performance, availability, scalability, security, and
operational requirements.
Apply cloud security best practices to infrastructure and solution designs.
Design cloud infrastructure with ongoing monitoring, management, support, and operational
requirements in mind.
Estimate and help manage cloud consumption and infrastructure costs.
Conduct cloud assessments and identify opportunities for cost optimization and improved resource
utilization.
Develop and maintain cloud architecture diagrams, technical documentation, standards, and
implementation guidance.
Support cloud migration initiatives, including planning, assessment, architecture, and implementation.
Design and support workload migrations to public cloud environments.
Work with engineering teams to translate architecture designs into secure and maintainable
implementations.
Support infrastructure automation using Terraform and other Infrastructure as Code tools

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

3+ 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:

Exposure to diverse array of technologies
Part of a team of experienced engineers who aim to deliver exceptional service
Competitive compensation
Robust benefits package: medical, dental, vision, disability, life insurance, 401k, and PTO
Opportunities to further education through our Employee Certification program
Positive, friendly, supportive office environment
Workplace perks such as healthy snacks, wellness program, and fun events

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