Cleared Senior Forward Deployed Engineer

Fortreum•Fort Meade, MD

76d•$180,000 - $260,000•Hybrid

About The Position

On our team, you will have the opportunity to work with industry-leading experts who’ve supported the world’s most security-conscious organizations. As a Forward Deployed Engineer, you will embed with enterprise and federal customers to deploy, integrate, and operationalize the Kovr AI Platform within their environments—building integrations with their DevSecOps toolchains, automating evidence collection and continuous monitoring, and configuring compliance workflows that accelerate Authority to Operate (ATO). You will serve as the hands-on technical bridge between our customers and Kovr’s engineering team, solving complex deployment challenges across cloud, hybrid, and classified National Security and Intelligence Community (IC) environments.

Requirements

Active Top Secret/SCI security clearance with Full Scope Polygraph
5+ years of software engineering, systems engineering, or DevOps experience in enterprise or federal IT environments
Hands-on experience deploying and integrating software across cloud platforms (AWS GovCloud, Azure Government, GCP) and hybrid or on-premises environments
Strong proficiency with DevSecOps pipelines, CI/CD workflows, and containerized deployments (Kubernetes, Helm, Terraform, ArgoCD)
Proficiency in one or more programming or scripting languages (e.g., Python, Go, Bash) for building integrations and automation
Experience with API development and integration patterns across enterprise systems
Experience deploying or operating software in classified or air-gapped environments supporting DoD Impact Levels (IL2-IL6)
Working knowledge of compliance frameworks such as NIST 800-53, FedRAMP, RMF, FISMA, and CMMC, including ATO processes, SSP development, and continuous monitoring
Strong troubleshooting and problem-solving skills, with the ability to work directly with customer engineering teams
Excellent communication skills, with the ability to serve as a technical bridge between customers and product and engineering teams

Nice To Haves

Familiarity with LLM integration, prompt engineering, and RAG architectures, or other enterprise AI/ML implementation
Cloud certification such as AWS Solutions Architect, AWS DevOps Engineer, or Azure/GCP equivalents
Security certification such as CISSP, CISM, CISA, or Security+

Responsibilities

Deploy, configure, and operationalize the Kovr AI Platform within customer environments, including cloud, hybrid, and on-premises deployments supporting IL2-IL6 requirements
Build and maintain integrations between the platform and customers’ existing DevSecOps toolchains, CI/CD pipelines, and compliance workflows
Develop automation for evidence collection, continuous monitoring, and RMF authorization processes, including SSP generation, control mapping, and POA&M workflows
Write and maintain code, scripts, and infrastructure-as-code (e.g., Terraform, Helm) to provision and configure platform components and customer integrations
Customize and extend platform workflows and data pipelines to meet each customer’s compliance framework requirements (NIST 800-53, FedRAMP, CMMC, RMF)
Troubleshoot and resolve complex technical issues across deployment, integration, data ingestion, and performance, often on-site or within classified environments
Serve as the hands-on technical bridge between customers and Kovr’s engineering team, translating real-world deployment needs into product requirements and feature requests
Partner with the DevOps team to ensure secure, reliable, and compliant operation of customer deployments, including monitoring, logging, and incident response
Lead technical onboarding and enablement for customer engineering teams to drive successful adoption and self-sufficiency
Produce technical documentation, runbooks, and deployment guides that support repeatable, scalable implementations