Software Engineer – Intelligent Platforms, Mid

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $87.1k - $157.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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Logo of Leidos

Leidos

10,000+ employees

Founded 1969

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.

📋 Description

• 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

• 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)

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