Under the direction of DFA, this position will serve as the primary architect for the agency''s Azure cloud initiatives. The architect will
design and oversee the adoption of public cloud solutions, establish strategy and policy for cloud usage, and lead workload
migrations from on-premises environments to Azure. A major component of this effort will be developing and executing plans to
transition enterprise systems, including the state payroll system (SPAHRS), currently operating on zLinux mainframes into secure,
scalable cloud platforms.
The architect will work closely with DFA''s technical and administrative teams to:
Develop Azure-based IaaS and PaaS solutions.
Implement automation for provisioning, configuration management, and lifecycle tasks.
Ensure strong cloud governance, security, and compliance.
Integrate hybrid environments and containerized workloads.
Provide expertise in Windows Server, Linux, and legacy system migration to guide successful adoption.
This role is both strategic and hands-on, requiring the ability to design enterprise-level architectures, oversee implementation, and
support knowledge transfer so DFA staff can manage and sustain cloud services long term.
Required Skills
To be considered, all proposed consultants must meet the following mandatory requirements:
A four-year degree from an accredited school in Computer Science, Information Technology, or like field.
Five (5) years or more of direct and specific experience creating Azure environments and migrating systems and services
from on-prem to the cloud.
Five (5) years or more of direct Azure solutions architect experience.
Five (5) years or more of DevOps engineering experience.
Five (5) years or more of experience driving cloud security, privacy, and compliance decisions.
Five (5) years or more network administration skills.
Documentation and knowledge transfer experience.
Excellent English-speaking skills, written communication skills, and knowledge transfer skills
Preferred Skills
Mainframe administration experience, zLinux, Red Hat, Ubuntu, SUSE, AI and machine learning, and application monitoring.
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