Full Stack & DevSecOps Engineer

Responsibilities

Peraton is seeking a talented and motivated

Full Stack & Dev Sec Ops  Engineer to join a dynamic team building and operating a cutting-edge Agentic AI platform. This hybrid role sits at the intersection of application engineering and platform operations — combining the responsibilities of a Full Stack Engineer specializing in Agentic AI and External Integrations with those of a Dev Sec Ops  / Platform Engineer.

In this role, you will design, develop, and maintain the integrations and intelligent agent capabilities that power a next-generation decision-support platform, while also owning the delivery infrastructure, CI/CD pipelines, cloud operations, and platform health that keep it running securely and reliably. You will work across the full stack to connect AI agents with diverse external data sources, package real-world capabilities as reliable agent tools, and ensure that the systems you build are secure, scalable, observable, and production ready.

If you are passionate about applied AI, thrive in fast-moving environments, and take pride in building platforms that real users depend on — from the application layer down to the infrastructure — this is an opportunity to make a meaningful impact supporting critical missions.

Location:
Columbus, Ohio — candidates must currently reside in the area or be willing to relocate.

Key Responsibilities

Full Stack & Agentic AI Engineering

• Design and build integrations to external sources of information, including public APIs, licensed data feeds, partner systems, customer enterprise systems, web content, document repositories, and structured databases
• Package external capabilities as agent tools and skills with clean interfaces, predictable inputs/outputs, sound error handling, and documentation usable by both AI agents and human configurators
• Develop and maintain full-stack components spanning FastAPI/Python backends, React frontends, Docker containerization, and PostgreSQL
• Build and consume web APIs (REST, GraphQL, or comparable), handling production integration concerns such as authentication, pagination, rate limiting, retry/backoff, schema mapping, deduplication, and caching
• Implement and maintain workflow and task orchestration pipelines using systems such as Airflow, Prefect, Celery, or comparable agent orchestration patterns
• Integrate LLMs into production or near-production applications, leveraging APIs such as OpenAI, Anthropic, or AWS Bedrock
• Apply security best practices specific to agentic and external integration work — including secrets management, OAuth and API-key handling, defensive parsing, and prompt-injection awareness
• Collaborate across teams with a product mindset, keeping the end-user experience central to technical decisions

Dev Sec Ops  & Platform Engineering

• Build and maintain CI/CD pipelines across Git Hub Actions and/or Git Lab CI, enabling secure, repeatable, and efficient delivery workflows
• Implement and improve automated testing and quality gates within the software delivery lifecycle, including build validation, integration checks, security testing, and deployment controls
• Plan and execute releases and deployments — coordinating change windows, managing release artifacts, running deployment automation, validating post-deployment health, and supporting rollback procedures
• Support operational ownership of Amazon EKS / Kubernetes environments, including cluster lifecycle activities, upgrades, troubleshooting, RBAC, Helm-based deployments, pod identity, and Git Ops-aligned workflows
• Build and maintain AWS infrastructure supporting platform and application needs across services such as VPC, IAM, S3, RDS, Cloud Trail, and KMS
• Contribute to infrastructure provisioning and lifecycle management through Open Tofu / Terraform and related infrastructure-as-code practices
• Administer user management for the platform — identity provider integration (SSO/SAML/OIDC), RBAC, provisioning and deprovisioning workflows, and periodic access reviews
• Design and operate a mature monitoring, logging, and alerting stack using Cloud Watch, Prometheus/Grafana, or equivalent tooling
• Routinely assess system logs to detect anomalies, configuration drift,…