Cloud Engineer with Public Trust

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a US Delivery Center Consultant on the team, you will:

Support cloud migration and hybrid integration activities across development, test, and production environments, including builds, configuration, documentation, and validation under the direction of a Cloud Modernization Lead; participate in cutover preparation and transition-to-O&M handoff activities. This role is aligned to modernization, migration, and implementation support objectives.

• Implement cloud infrastructure changes and modifications in accordance with approved designs for cloud migrations and hybrid integrations.
• Assist with environment setup and configuration for test, lab, and pre-production validation activities.
• Execute runbook steps for deployments and cutovers; capture evidence and update procedures to support transition readiness and O&M handoff. Steady-state O&M is out of scope.
• Develop and maintain technical documentation, including configuration notes, diagrams, SOPs, and runbooks, to support transition readiness.
• Follow applicable security and compliance requirements and support remediation tracking and evidence collection, as needed.
• Participate in incident triage during operational testing windows and document outcomes, actions, and lessons learned.

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, & deliver complex programs with a product engineering mindset. Our flexible delivery models- traditional teams, pools, or pods, are tailored for each client's needs, offering engineering-led Advise, Implement, & Operate capabilities to accelerate innovation.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required:

• Bachelor's degree or equivalent relevant experience
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Must be able to obtain and maintain the required clearance for this role
• 3+ years of expereince in hands-on cloud engineering in AWS or Azure, including cloud migrations and hybrid networking
• 3+ years Experience with infrastructure as code tools such as Terraform, CloudFormation, Bicep, or ARM, and familiarity with CI/CD practices
• 3+ years expereince developing operational documentation and runbooks to support transition activities

Preferred

• Strong troubleshooting skills in cloud environments, with the ability to own tasks end-to-end from design input through build, testing, validation, and documentation handoff