Senior Full-Stack Platform Engineer - Agentic AI

Location: Annapolis Junction

Responsibilities

Peraton Labs is seeking a Senior Full-Stack Platform Engineer to help build and scale a platform that enables rapid development of secure, AI-powered applications through natural language interfaces, agent builders, and mission-level workflow orchestration.

This platform is intended to provide a modern, efficient alternative to traditional data intelligence and application delivery approaches by centralizing common capabilities such as security, access control, reusable platform services, and Agentic AI implementation patterns. The product will help development teams transition toward AI-enabled, spec-based engineering workflows, and accelerating delivery of solutions across a wide range of mission and business use cases.

In this position, you will help establish the platform foundation that enables teams to rapidly build and deploy secure Agentic AI solutions. Your work will reduce duplication, accelerate delivery, improve governance, and make advanced AI capabilities more accessible to developers and mission users alike. This role is best suited for a senior cloud/platform engineer who can build secure, scalable, cloud-native platform capabilities and help establish the technical foundation for enterprise-wide adoption of Agentic AI.

Key responsibilities may include, but are not limited to:

* Design, build, deploy, and maintain core platform services supporting an Agentic AI platform in cloud environments such as AWS, Azure, or similar

* Engineer scalable platform capabilities for agent orchestration, workflow execution, API integration, identity and access control, observability, and secure application enablement

* Build reusable infrastructure and shared services that reduce developer overhead and accelerate delivery of AI-enabled applications

* Develop cloud-native solutions using containerization, microservices, API-first design, infrastructure-as-code (IaC), and automated deployment pipelines

* Implement secure platform controls including authentication, authorization, secrets management, auditing, and policy enforcement

* Partner with software engineers, architects, product teams, and security stakeholders to define platform requirements, technical standards, and implementation priorities

* Improve platform reliability and operational maturity through monitoring, logging, tracing, alerting, and performance optimization

* Support integration of AI/LLM capabilities into a cohesive platform architecture

* Troubleshoot complex platform, cloud, and deployment issues in development and production

* Document platform architecture, engineering standards, and operational best practices

* Contribute as a senior technical team member by helping shape platform direction and mentoring other engineers as needed

* Design and implement RESTful API endpoints using FastAPI, maintain API contracts with frontend consumers, and implement OpenAI-compatible API endpoints with token streaming

* Develop and extend the plugin lifecycle system: packaging, validation, deployment, activation, and lifecycle hook execution across worker, service, and library plugin types

* Manage database operations using SQLModel/SQL Alchemy with Postgre

SQL, implement schema migrations, and maintain configuration management

* Write unit and integration tests, enforce code quality), and contribute to CI/CD pipelines

* Collaborate with frontend engineers to deliver cohesive user experiences, and where possible, contribute to frontend development of platform UI supporting components and frameworks

Qualifications

Required Qualifications

* Minimum of BS with 12+ years of experience, MS with 10+ years of experience or PhD with 7+ YoE in Computer Science, Computer Engineering, Software Engineering, Information Systems, or related technical field

* 7-10 years of relevant experience in platform engineering, cloud engineering, Dev Ops, infrastructure engineering, backend systems, or related technical roles

* Hands-on experience with major cloud platforms such as AWS, Azure, or Google Cloud

* Strong experience building and operating cloud-native platforms or distributed systems in production environments

* Experience with Docker, Kubernetes, and…