Lead Software Engineer II

PowerToFly; Georgia; On-site; USD 120,000 - 180,000; Full time

Job summary

Deloitte is seeking a Lead Software Engineer II for its AI & Engineering team within GPS. You will shape AI-enabled software delivery, coordinate cross-functional teams, and ensure secure, compliant outputs for government clients.

A strong background in software engineering and AI-driven workflows is essential. The role emphasizes independent work, clear communication, and leadership across projects, with travel 10-50% and US work authorization required.

Qualifications

• Bachelor's degree required.
• 7+ years of experience in software engineering, software architecture, quality engineering, site reliability engineering, or DevOps.
• 2+ years of experience with generative AI tools, prompt engineering, or AI-assisted software delivery workflows.
• Experience with IDEs, version control, and software delivery tools.
• Experience with SDLC activities including requirements, design, development, testing, and release.
• Experience validating deliverables against quality, security, or compliance requirements.
• Ability to travel 10-50% on average.
• Must be legally authorized to work in the United States without sponsorship.

Responsibilities

• Break down business and technical requirements into tasks, prompts, and validation criteria for AI agent teams.
• Orchestrate delivery across architecture, development, QA, UX, and documentation workflows.
• Validate AI-generated outputs for code quality, security, compliance, and release readiness.
• Coordinate end-to-end software development lifecycle activities from requirements to release support.
• Support GPS client engagements by accelerating technology modernization in public sector environments.

Skills

Independent work

Communication

Attention to detail

Relationship building

Project leadership

Multi-tasking

Interpersonal skills

Deadline driven

Provide guidance

Education

Bachelor's degree

CS/Software Engineering related major

Job description

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 Lead Software Engineer II on the Engineering as a Service team, you will be responsible for...

• Break down business and technical requirements into structured tasks, prompts, and validation criteria for AI agent teams.
• Orchestrate delivery activities across architecture, development, quality assurance, user experience, and technical documentation workflows.
• Validate AI-generated outputs for code quality, security, compliance, and release readiness before merge or deployment.
• Coordinate end-to-end software development lifecycle activities, including requirements, build, integration, testing, and release support.
• Support GPS client engagements by accelerating delivery of technology modernization work in public sector environments.

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 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.

Qualifications

Required:

• Bachelor's degree
• 7+ years of experience in software engineering, software architecture, quality engineering, site reliability engineering, or DevOps
• 2+ years of experience with generative artificial intelligence tools, prompt engineering, or AI-assisted software delivery workflows
• Experience using integrated development environments, version control systems, and software delivery tools
• Experience with software development life cycle activities including requirements, design, development, testing, and release
• Experience validating technical deliverables against quality, security, or compliance requirements
• Ability to travel 10-50%, on average, based on the work you do and the clients and industries/sectors you serve.
• 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:

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or Computer Engineering
• Experience supporting government technology modernization programs
• Experience with continuous integration and continuous delivery pipelines
• Experience with test automation frameworks and release validation processes

Experience documenting technical requirements, user stories, and acceptance criteria

Experience working with cross-functional delivery teams across architecture, engineering, testing, and documentation

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.