Sr Cloud Architect

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:

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