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

Originally posted on Himalayas