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/SQLAlchemy with PostgreSQL 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 DevOps 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 modern container-based deployment models
- Experience with infrastructure-as-code (IaC) using tools such as Terraform
- Strong understanding of CI/CD automated testing deployment pipelines and release engineering best practices
- Experience implementing enterprise-grade platform security capabilities such as RBAC IAM secrets management encryption and policy controls
- Strong proficiency in Python (5 years with async/await experience); additional proficiency in Java JavaScript/TypeScript or other languages preferred for full-stack contributions
- Production experience with FastAPI or similar async web frameworks and hands-on experience designing and integrating RESTful APIs in secure scalable environments
- Experience with the monitoring logging metrics and operational support for production systems
- Ability to work across technical teams and translate requirements into well engineered solutions
- Strong written and verbal communication skills
- Experience with PostgreSQL and ORM tools (SQLModel SQLAlchemy or equivalent)
- Experience with pytest or similar testing frameworks and writing maintainable test suites
- Understanding of distributed systems concepts (eventual consistency idempotency retry patterns)
- US Citizenship is required for this position
Desired Qualifications
- Experience supporting AI/ML or LLM-enabled platforms
- Familiarity with Agentic AI including agent orchestration tool use workflow chaining and human-in-the-loop execution models
- Experience building multi-tenant developer platforms or shared services used by multiple domains or modalities
- Experience with platform patterns that support self-service application development or workflow-based solution delivery
- Familiarity with modern AI development tooling (LangChain LangGraph or similar agent frameworks) model integration patterns or orchestration frameworks such as Airflow or Prefect
- Experience with event-driven architecture messaging systems and asynchronous processing
- Experience optimizing platform scalability reliability and cloud cost
- Experience supporting commercial product delivery or enterprise platform adoption across multiple business areas
- Experience defining platform standards reusable engineering patterns and technical roadmaps
- Experience with OPA (Open Policy Agent) or policy-based access control and authorization
- Experience with OpenTelemetry and observability tooling (Jaeger Prometheus Grafana)
- Experience with Kafka RabbitMQ ZeroMQ gRPC or similar messaging and RPC systems
- Frontend development experience with modern JavaScript frameworks (React Vue or similar) strongly preferred for full-stack contributions
- Experience with product line plugin or extension architectures involving dynamic loading sandboxed execution and lifecycle management
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider we deliver trusted highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land sea space air and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day our employees do the cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.
Target Salary Range
$146000 - $234000. This represents the typical salary range for this position. Salary is determined by various factors including but not limited to the scope and responsibilities of the position the individuals experience education knowledge skills and competencies as well as geographic location and business and contract considerations. Depending on the position employees may be eligible for overtime shift differential and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer including disability and protected veterans or other characteristics protected by law.
Required Experience:
Senior IC
ResponsibilitiesPeraton 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 p...
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/SQLAlchemy with PostgreSQL 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 DevOps 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 modern container-based deployment models
- Experience with infrastructure-as-code (IaC) using tools such as Terraform
- Strong understanding of CI/CD automated testing deployment pipelines and release engineering best practices
- Experience implementing enterprise-grade platform security capabilities such as RBAC IAM secrets management encryption and policy controls
- Strong proficiency in Python (5 years with async/await experience); additional proficiency in Java JavaScript/TypeScript or other languages preferred for full-stack contributions
- Production experience with FastAPI or similar async web frameworks and hands-on experience designing and integrating RESTful APIs in secure scalable environments
- Experience with the monitoring logging metrics and operational support for production systems
- Ability to work across technical teams and translate requirements into well engineered solutions
- Strong written and verbal communication skills
- Experience with PostgreSQL and ORM tools (SQLModel SQLAlchemy or equivalent)
- Experience with pytest or similar testing frameworks and writing maintainable test suites
- Understanding of distributed systems concepts (eventual consistency idempotency retry patterns)
- US Citizenship is required for this position
Desired Qualifications
- Experience supporting AI/ML or LLM-enabled platforms
- Familiarity with Agentic AI including agent orchestration tool use workflow chaining and human-in-the-loop execution models
- Experience building multi-tenant developer platforms or shared services used by multiple domains or modalities
- Experience with platform patterns that support self-service application development or workflow-based solution delivery
- Familiarity with modern AI development tooling (LangChain LangGraph or similar agent frameworks) model integration patterns or orchestration frameworks such as Airflow or Prefect
- Experience with event-driven architecture messaging systems and asynchronous processing
- Experience optimizing platform scalability reliability and cloud cost
- Experience supporting commercial product delivery or enterprise platform adoption across multiple business areas
- Experience defining platform standards reusable engineering patterns and technical roadmaps
- Experience with OPA (Open Policy Agent) or policy-based access control and authorization
- Experience with OpenTelemetry and observability tooling (Jaeger Prometheus Grafana)
- Experience with Kafka RabbitMQ ZeroMQ gRPC or similar messaging and RPC systems
- Frontend development experience with modern JavaScript frameworks (React Vue or similar) strongly preferred for full-stack contributions
- Experience with product line plugin or extension architectures involving dynamic loading sandboxed execution and lifecycle management
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider we deliver trusted highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land sea space air and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day our employees do the cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.
Target Salary Range
$146000 - $234000. This represents the typical salary range for this position. Salary is determined by various factors including but not limited to the scope and responsibilities of the position the individuals experience education knowledge skills and competencies as well as geographic location and business and contract considerations. Depending on the position employees may be eligible for overtime shift differential and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer including disability and protected veterans or other characteristics protected by law.
Required Experience:
Senior IC
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