Software Engineer – Intelligent Platforms, Mid

Leidos

. Design, develop, and maintain backend services and microservices supporting intelligent, agent-based platforms .

Posted 10/22/2026full-timeRemote • United StatesMid-LevelSenior💰 $87,100 - $157,450 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend service development, AI-enabled workflows, and Infrastructure as Code, with a strong focus on collaboration and security compliance in regulated environments.

Highest-signal resume keywords

Backend Service DevelopmentAI-Enabled WorkflowsInfrastructure as CodeSecret Security ClearanceActive Security+ Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaGoAPI DevelopmentMicroservicesAI/ML SystemsContainerizationOrchestration TechnologiesGitLabGitHub

Soft Skills

CollaborationAdaptability

Tools & Technologies

DockerKubernetesAWS GovCloud

Certifications & Qualifications

Security+ Certification

Industry Keywords

Intelligent AutomationCI/CD PipelinesAgent-Based PlatformsVersion ControlRegulated Environments

Tech Stack

Tools & technologies

AWSCloudDockerJavaKubernetesMicroservicesPythonGo

About the role

Key responsibilities & impact

Design, develop, and maintain backend services and microservices supporting intelligent, agent-based platforms
Build and integrate autonomous or semi-autonomous agents interacting with technical and business systems
Develop AI-enabled workflows leveraging LLMs for decision support, automation, analysis, and system interaction
Implement APIs and orchestration logic enabling agents and services to collaborate
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 workflows, including pull/merge requests, code reviews, and documentation
Support CI/CD pipelines and secure deployments aligned with ATO requirements
Produce technical documentation covering code, agent behavior, and system interactions
Contribute to an “everything as code” approach using version-controlled, testable code

Requirements

What you’ll need

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
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)