Software Engineering – Intelligent Platforms (Mid)

Leidos; United States; Remote; USD 87,000 - 157,000; Full time

Job summary

Leidos is seeking a mid-level Software Engineer to build backend services, intelligent agents, and automation workflows that power mission-critical platforms. You will collaborate in GitLab to deliver secure, scalable AI-enabled solutions and to express complex intent as code that can be tested and evolved.

The role calls for 4+ years of software development, proficiency in Python (or Java/Go), experience with APIs or microservices, exposure to AI/ML and IaC, and the ability to work in secure,

Qualifications

• BS degree with 4+ years of software development experience.
• Proficiency in Python, Java, or Go for backend services and APIs/microservices.
• Experience with AI/ML systems and intelligent automation.
• Familiarity with Infrastructure as Code concepts and tooling.
• Experience in GitLab and/or GitHub with collaborative workflows.
• Ability to operate in evolving or ambiguous requirements and maintain a security posture.

Responsibilities

• Design, develop, and maintain backend services and microservices that support AI-enabled platforms.
• Build autonomous or semi-autonomous agents that integrate with technical and business systems.
• Develop AI-enabled workflows for decision support, automation, analysis, and system interaction.
• Implement APIs and orchestration logic to enable agent collaboration.
• Implement and maintain Infrastructure as Code to provision and manage cloud environments.
• Collaborate with systems engineers and ISSEs to translate requirements into code.
• Contribute to Git-based development workflows, including pull/merge requests and reviews.
• Support CI/CD and secure deployments aligned with security requirements (ATO).
• Produce technical documentation covering code, agent behavior, and system interactions.
• Adopt an everything-as-code approach for infrastructure, automation, and workflows.

Skills

Backend development

APIs/microservices

Python

AI/ML systems

GitLab/GitHub

Security clearance

Education

BS degree

Tools

Docker

Kubernetes

Terraform

Job description

Position Overview At Leidos, we are advancing mission-critical platforms that simulate, interact with, and act on complex technical and business environments. These platforms leverage agent-based architectures, automation, and AI-driven capabilities to enable intent-driven interaction with systems such as network operations and enterprise processes. As a mid-level Software Engineer, you will be a hands-on contributor building backend services, intelligent agents, and automation workflows that power these platforms. You will work within a multi-disciplinary team of software engineers, systems engineers, ISSEs, and security professionals, collaborating in GitLab to deliver secure, scalable, and compliant AI-enabled solutions. This role is ideal for a developer who is excited about treating systems, automation, and knowledge as code-from infrastructure and deployment pipelines to agent behavior, workflows, and even operational or business logic. You enjoy working with AI and LLMs, building agents that reason and act, and expressing complex intent declaratively through version-controlled artifacts that can be tested, reviewed, and evolved over time.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting: October 22, 2026. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range

Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $17.2 billion for the fiscal year ended January 2, 2026. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.

Securing Your Data

Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to [e-mail].

Commitment and Diversity

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Primary Responsibilities

• Design, develop, and maintain backend services and microservices that support intelligent, agent-based platforms
• Build and integrate autonomous or semi-autonomous agents that interact with technical and business systems
• Develop AI-enabled workflows leveraging LLMs for decision support, automation, analysis, and system interaction
• Implement APIs and orchestration logic that enable agents and services to collaborate effectively
• Implement and maintain Infrastructure as Code (IaC) to provision and manage cloud environments
• Collaborate with systems engineers and ISSEs to translate requirements and security controls into code
• Contribute to Git-based development workflows, including pull/merge requests, code reviews, and documentation
• Support CI/CD pipelines and secure deployments aligned with ATO requirements
• Produce clear technical documentation covering code, agent behavior, and system interactions
• Contribute to an "everything as code" approach, expressing infrastructure, automation, agent behavior, workflows, and operational artifacts as version-controlled, testable code

Required Skills and Experience

• BS degree and 4+ years of professional software development experience
• Proficiency in at least one modern programming language (Python preferred; Java or Go acceptable)
• Experience building backend services, APIs, or microservices
• Exposure to AI/ML systems, LLMs, or intelligent automation (through professional work or applied projects)
• Familiarity with Infrastructure as Code concepts and tooling
• Experience working in GitLab and/or GitHub with collaborative development practices
• Ability to operate effectively in environments with evolving or ambiguous requirements
• Must have and maintain a Secret security clearance

Preferred Qualifications

• Active Security+ certification or equivalent IAT Level II certification
• Experience building or orchestrating agents, workflows, or autonomous systems
• Familiarity with LLM integration patterns (prompting, tools/functions, retrieval, etc.)
• Experience with containerization and orchestration technologies (Docker, Kubernetes)
• Familiarity with cloud platforms (AWS GovCloud preferred)
• Experience developing AI-enabled systems in regulated or secure environments
• Experience applying "as code" approaches beyond infrastructure (e.g., configuration-as-code, policy-as-code, workflows-as-code, documentation-as-code)