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Government Software Engineering Jobs in Tennessee

Own all aspects of software engineering and product development * Deep dive into your users ... S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S ...

Collaborate with government clients and internal stakeholders to gather, analyze, and refine ... Bachelors degree in Computer Science, Software Engineering, or related field (or equivalent ...

... government systems. Designs and implements scalable web-based applications using C#/.NET ... Engineering related field. * Active Q clearance required. * Candidates with TS/SCI clearance can be ...

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

BUILD systems are foundational to OCI engineering productivity and software supply-chain security. As OCI continues to grow across commercial, government, sovereign, and regulated environments, BUILD ...

Showing results 41-60

Government Software Engineering information

See Tennessee salary details

$57.6K

$133.9K

$186.5K

How much do government software engineering jobs pay per year?

As of Aug 30, 2026, the average yearly pay for government software engineering in Tennessee is $133,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $157,000.00 per year, depending on experience, location, and employer.

What is government software engineering?

Government software engineering involves designing, developing, and maintaining software systems for government agencies and public sector organizations. These professionals work on projects that support public services, such as healthcare, transportation, security, and administration. Their work often requires adherence to strict security and privacy standards, as well as compliance with government regulations. Government software engineers may collaborate with other IT professionals and stakeholders to create reliable, efficient, and user-friendly solutions that serve citizens and government employees. This field offers the opportunity to make a significant impact on society through technology.

What are government jobs in software engineering?

Government software engineering jobs involve working at the local, state, or federal levels to provide assistance to an area or government agency. In this role, you may set up a network or system, develop customized software, or use testing techniques to see whether or not existing software and hardware are performing as expected. Some government software engineering jobs are directly with the government, while contractors who specialize in specific areas fill other roles. Many government software engineering jobs are geographically centralized. In other words, the more government offices there are in an area, the more software engineering jobs you can expect to find.

What are the key skills and qualifications needed to thrive as a government software engineer, and why are they important?

To thrive as a Government Software Engineer, you typically need a solid background in computer science, proficiency in programming languages like Java or Python, and a relevant degree or security clearance. Familiarity with government-specific systems, secure coding practices, and tools such as Git, CI/CD pipelines, and project management software is often required. Strong problem-solving abilities, communication skills, and attention to detail help you navigate complex regulations and collaborate with multidisciplinary teams. These skills are vital for building secure, reliable software solutions that support government operations and protect sensitive data.

What are some unique challenges faced by software engineers working in government agencies?

Software engineers in government agencies often work within strict regulatory and security frameworks, which can mean longer approval cycles and more documentation compared to private sector roles. Collaboration across multiple departments is common, as systems must integrate with legacy infrastructure and comply with public sector standards. While these constraints can be challenging, they also offer opportunities to contribute to projects that have a significant impact on public services and society. Engineers typically work in multidisciplinary teams and gain exposure to large-scale, mission-critical applications.

What are popular job titles related to Government Software Engineering jobs in Tennessee?

For Government Software Engineering jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Government Software Engineering jobs?

Cities in Tennessee with the most Government Software Engineering job openings:

Infographic showing various Government Software Engineering job openings in Tennessee as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $133,895 per year, or $64.4 per hour.

Lead Agentic Software Engineer II

Deloitte

Memphis, TN • On-site

Full-time

Posted 7 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

45th of 152 rated financial services


Job description

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 9/11/2026

Work You'll Do

As a Lead Agentic Software Engineer II, you will be responsible for:

  • Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs
  • Translate business and functional requirements into technical plans, solution components, and production-ready workflows
  • Oversee the development of data pipelines, model integration, validation processes, and other scalable technical assets
  • Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems
  • Define and monitor KPIs related to solution quality, model performance, data health, adoption, and business impact
  • Mentor junior practitioners and partner with client and internal stakeholders to drive execution, communicate progress and risks, and promote responsible, repeatable delivery practices

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 Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a technical field
  • 6+ years of experience architecting, designing, building, testing, and deploying production, operational, or client-facing technology solutions in software engineering, DevOps, site reliability engineering, quality engineering, or software development life cycle (SDLC) delivery roles
  • 6+ years of experience developing applications, services, or automation using one or more programming languages, including Python, JavaScript, or Java
  • 3+ years of experience leading code reviews, reviewing technical deliverables for alignment with documented requirements, and mentoring or providing day-to-day technical guidance to junior engineers
  • 3+ years of experience building, deploying, and supporting cloud-native applications on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • 1+ years of experience architecting, building, deploying, or supporting generative artificial intelligence (AI), large language model (LLM), or agentic application solutions in production, enterprise, or client-facing environments
  • 1+ years of experience implementing LLM orchestration, prompt workflows, tool use or function calling, retrieval-augmented generation (RAG), or multi-agent workflows in application delivery
  • Ability to travel 0-50%, 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:

  • Master's degree
  • Government consulting experience
  • 1+ years of experience integrating model platforms or application programming interfaces (APIs), including OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or Google Vertex AI, into enterprise applications or workflows
  • 1+ years of experience establishing evaluation, testing, monitoring, or guardrail mechanisms for generative AI or agentic systems, including output quality, reliability, latency, or safety controls
  • 1+ years of experience implementing containerization, continuous integration and continuous deployment (CI/CD), infrastructure as code, or deployment automation
  • 1+ years of experience leading delivery in Agile environments, including backlog refinement, sprint planning, sprint execution, and iterative release delivery

The wage range for this role 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. 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 $128,000 to $252,500. 

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.

Qualifications:

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 9/11/2026

Work You'll Do

As a Lead Agentic Software Engineer II, you will be responsible for:

  • Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs
  • Translate business and functional requirements into technical plans, solution components, and production-ready workflows
  • Oversee the development of data pipelines, model integration, validation processes, and other scalable technical assets
  • Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems
  • Define and monitor KPIs related to solution quality, model performance, data health, adoption, and business impact
  • Mentor junior practitioners and partner with client and internal stakeholders to drive execution, communicate progress and risks, and promote responsible, repeatable delivery practices

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 Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a technical field
  • 6+ years of experience architecting, designing, building, testing, and deploying production, operational, or client-facing technology solutions in software engineering, DevOps, site reliability engineering, quality engineering, or software development life cycle (SDLC) delivery roles
  • 6+ years of experience developing applications, services, or automation using one or more programming languages, including Python, JavaScript, or Java
  • 3+ years of experience leading code reviews, reviewing technical deliverables for alignment with documented requirements, and mentoring or providing day-to-day technical guidance to junior engineers
  • 3+ years of experience building, deploying, and supporting cloud-native applications on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • 1+ years of experience architecting, building, deploying, or supporting generative artificial intelligence (AI), large language model (LLM), or agentic application solutions in production, enterprise, or client-facing environments
  • 1+ years of experience implementing LLM orchestration, prompt workflows, tool use or function calling, retrieval-augmented generation (RAG), or multi-agent workflows in application delivery
  • Ability to travel 0-50%, 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:

  • Master's degree
  • Government consulting experience
  • 1+ years of experience integrating model platforms or application programming interfaces (APIs), including OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or Google Vertex AI, into enterprise applications or workflows
  • 1+ years of experience establishing evaluation, testing, monitoring, or guardrail mechanisms for generative AI or agentic systems, including output quality, reliability, latency, or safety controls
  • 1+ years of experience implementing containerization, continuous integration and continuous deployment (CI/CD), infrastructure as code, or deployment automation
  • 1+ years of experience leading delivery in Agile environments, including backlog refinement, sprint planning, sprint execution, and iterative release delivery

The wage range for this role 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. 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 $128,000 to $252,500. 

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.

Education:Bachelor's DegreeEmployment Type:

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