DevSecOps and cloud modernization for federal agencies
LightFeather is a federal-focused engineering services firm built around cloud infrastructure, DevSecOps automation, and data platforms—with a hiring profile that is heavily weighted toward senior and lead engineers (35 of 41 engineering roles). The stack (GCP, AWS, Azure, Terraform, Kubernetes, GitLab CI/CD) and active project list (infrastructure-as-code security modules, multi-cloud architecture, ATO compliance support) signal deep specialization in high-compliance environments where security automation and infrastructure codification are non-negotiable. Adoption of AWS and Azure alongside existing GCP footprint suggests customers are multi-cloud—and LightFeather is expanding its platform engineering capacity to support that complexity.
LightFeather designs, builds, and operates secure systems for federal agencies, with core capabilities spanning cloud and platform engineering (AWS, Azure, GCP), DevSecOps automation (CI/CD, infrastructure as code, Kubernetes), cybersecurity and RMF support, data engineering and analytics (BigQuery, Databricks), and AI/ML operationalization. Founded in 2018, the company holds Woman-Owned Small Business (WOSB) and Service-Disabled Veteran-Owned Small Business (SDVOSB) certifications. The organization operates across three main engagement models: legacy modernization and cloud migration (addressing post-migration metadata challenges and infrastructure optimization), data platform buildout (analytics and BI migrations to modern tooling), and AI/ML enablement at production scale. Teams work embedded with government stakeholders through iterative delivery cycles, emphasizing documentation, automated compliance controls, and security-first architecture.
GCP, AWS, and Azure. The stack includes Terraform, Kubernetes, BigQuery (GCP), CloudFormation and CodePipeline (AWS), and native Azure tooling. LightFeather is actively adopting AWS and Azure alongside existing GCP capabilities.
Cloud modernization, DevSecOps automation, cybersecurity/RMF compliance, data engineering, and AI/ML operationalization—primarily for federal agencies. Key project categories include infrastructure-as-code security, multi-cloud architecture, CI/CD pipeline management, and cloud transformation initiatives.
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