Software/DevOps Engineer - TS/SCI Clearance Required

Join Deloitte's AI & Data team as a Project Data Management Engineer II and help design, build, and operate secure, production-ready technology solutions for Government & Public Services clients. In this project delivery role, you will apply software engineering and DevOps practices to develop scalable applications, automate deployment workflows, and support reliable AI and data platforms.

You will collaborate with cross-functional teams to turn client requirements into practical solutions that advance mission outcomes.

Work you'll do

As a Project Data Management Engineer II on the AI & Data team, you will be responsible for:

• Design, develop, test, and maintain software applications and services that support AI and data solutions for Government & Public Services clients.
• Build and maintain continuous integration and continuous delivery (CI/CD) pipelines to enable reliable, automated deployment of software and infrastructure changes.
• Automate infrastructure provisioning, configuration, monitoring, and operational workflows using DevOps practices.
• Collaborate with data engineers, application engineers, and client stakeholders to translate requirements into secure, scalable production solutions.
• Troubleshoot application, deployment, and platform issues; implement improvements that strengthen performance, reliability, and maintainability.

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

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 AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

• Bachelor's degree
• 2+ years professional experience
• 1+ years of experience in software engineering or full-stack development
• 1+ years of experience in DevOps
• Active TS/SCI security clearance required
• You can expect to co-locate on average 5 times a week in Tampa, Florida.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

• Experience with data engineering
• Experience with application engineering
• Experience taking new AI products into production

For individuals assigned and/or hired to work in Tampa, Deloitte is required by law to include a reasonable estimate of the compensation range for this role.

This compensation range is specific to Tampa and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $71,300 to $118,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.