Are you looking to elevate your Cloud development career? Your technical skills? Your opportunity for growth? Deloitte’s Government and Public Services Cyber Practice (GPS Cyber Practice) is the place for you! Our GPS Cyber Practice helps organizations create a cyber minded culture and become stronger, faster, and more innovative. You will become part of a team that advises, implements, and manages AI-based technical solutions across five verticals: Strategy, Defense and Response; Identity; Infrastructure; Data; and Application Security. Our dynamic team offers opportunities to work with cutting-edge cyber security tools and grow both vertically and horizontally at an accelerated rate. Join our cyber team and elevate your career.

Work you’ll do

As part of technical team, you will develop AI-based tools that drive efficiencies in service delivery and collaborate with a model development team for cloud integration. We are seeking to bring in a Cloud Developer who has experience in developing within cloud environments, such as AWS, Google Cloud, or Azure.

The team

Deloitte’s Government and 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 more than 15,000 professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise

At Deloitte, we believe cyber is about starting things—not stopping them—and enabling the freedom to create a more secure future. Cyber Infrastructure is focused on rethinking how security is integrated across modernized infrastructure as cyber threats become more complex. If you’re seeking a career implementing, architecting, and—in select cases—handling next generation controls to manage security risks and exposure, then the Cyber Infrastructure team at Deloitte is for you.

Qualifications Required:

• A minimum of a bachelor’s degree required.
• 1 plus years of experience either building machine learning applications and deploying in cloud environments or supporting development teams deploying machine learning applications in cloud environments.
• 1 plus years of experience developing in a cloud environment (AWS, Google Cloud, or Azure)
• 1 plus years of experience developing in container-focused architectures (Docker, or Kubernetes)
• 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.
• Travel up to 15%

Preferred requirements

• 6 months plus of experience using GitHub for version control and source code management.
• 6 months plus of experience deploying cloud resources via Terraform or another Infrastructure-as-Code tool.
• 1 year plus professional services or federal consulting experience
• Familiarity with the relevant Cloud native tools that accelerate analytic development ex), AWS SageMaker, AWS RedShift, AWS Fargate, Google Cloud BigQuery, Google Cloud Vertex AI, Google Cloud Cloud Run, etc.