Mid-Level Platform Engineer

• Design, build, and support cloud-native application platforms within AWS environments.
• Create and maintain automated CI/CD pipelines for seamless application and infrastructure delivery.
• Manage containerized workloads using Docker and orchestrate them with Kubernetes.
• Develop and manage infrastructure as code (IaC) templates using Terraform.
• Monitor, troubleshoot, and resolve issues across cloud infrastructure, containers, and deployment pipelines.
• Collaborate with cross-functional teams to enhance platform reliability and security.
• Support application workflows that utilize Generative AI and Large Language Models (LLMs).

• Active TS/SCI security clearance.
• Professional experience in platform engineering, Dev Ops, cloud engineering, or software development.
• Hands-on experience with Amazon Web Services (AWS).
• Proficiency with containerization (Docker) and orchestration (Kubernetes).
• Experience writing infrastructure as code using Terraform.
• Strong scripting and automation skills, along with version control (Git).
• Solid understanding of cloud networking, security, and architecture principles.

• Experience managing production Kubernetes environments, specifically Amazon EKS.
• Familiarity with integrating LLMs (such as ChatGPT or Claude) and developing GenAI-enabled applications.
• Knowledge of retrieval-augmented generation (RAG) or AI agent patterns.
• Experience supporting high-availability or mission-critical cloud systems.

• Active TS/SCI security clearance.
• Professional experience in platform engineering, Dev Ops, cloud engineering, or software development.
• Hands-on experience with Amazon Web Services (AWS).
• Proficiency with containerization (Docker) and orchestration (Kubernetes).
• Experience writing infrastructure as code using Terraform.
• Strong scripting and automation skills, along with version control (Git).
• Solid understanding of cloud networking, security, and architecture principles.

• Experience managing production Kubernetes environments, specifically Amazon EKS.
• Familiarity with integrating LLMs (such as ChatGPT or Claude) and developing GenAI-enabled applications.
• Knowledge of retrieval-augmented generation (RAG) or AI agent patterns.
• Experience supporting high-availability or mission-critical cloud systems.

• Level: TS/SCI

Work Arrangement:
On-site

• Health and Financial Foundation — Medical, dental, vision, retirement, life insurance, disability coverage, and flexible spending accounts are described in the benefits page.
• Time Away and Flexibility Where Mission Permits — PTO, holidays, sick time, military leave, and flexible arrangements are supported where program and security requirements allow.
• Professional Development — The site references certification support, training, conferences, mentorship, internal mobility, and individual development planning.

• Recruiter Review

  Recruiting reviews your resume for role alignment, technical background, clearance status where relevant, and program fit.

• Interview

  Qualified candidates may meet program, technical, or delivery leaders to discuss experience and expectations for the role.

• Offer

  When there is a match, the team coordinates offer, onboarding, clearance transfer or sponsorship details where contractually authorized.

Footbridge Federal delivers engineering, cyber, mission IT, analytics, and cleared program support for defense, intelligence, federal civilian, homeland security, and research missions.

Mission Context Matters

Candidates should expect work tied to defense, intelligence, federal civilian, homeland, and research missions rather than generic commercial delivery.

Small-Team Accountability

The culture copy emphasizes ownership,…