Senior GCP Cloud Engineer
Posted 20 days ago
LightFeather is seeking a Senior GCP Cloud Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.
This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.
- Location: In-Person (5 days/week) in Washington, DC
- Job Type: Full Time
- Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance
- Design, implement, and manage secure and scalable cloud infrastructure using GCP.
- Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
- Support CI/CD pipeline automation, integration, and management.
- Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
- Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
- Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
- Provide documentation and knowledge sharing with the broader engineering team.
Required Qualifications
- Willing to obtain a security clearance.
- 4+ years of experience in cloud engineering, with at least 2 years on GCP.
- Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
- Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
- Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
- Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
- Experience working in an Agile/Scrum environment.
Preferred Skills
- GCP Professional Cloud Architect or DevOps Engineer certification.
- Experience supporting federal government contracts and understanding of ATO processes.
- Familiarity with other cloud platforms (AWS, Azure) is a plus.
- Scripting skills in Python, Bash, or Go.
Why Join LightFeather?
At LightFeather, you're not just taking a job—you’re joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You’ll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.
LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.
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LightFeather is a Veteran-Owned Small Business (VOSB), Service-Disabled Veteran-Owned Small Business (SDVOSB), and Woman-Owned Small Business (WOSB) that implements AI to modernize legacy federal applications. We help agencies modernize aging systems into secure, scalable platforms aligned with mission needs. Our teams design, build, and operate production AI/ML, modern data platforms, and cloud-native applications across DOJ, DHS, USCIS, IRS, DoS, and PBGC. This work spans ML models trained on 600M+ federal records, real-time analytics on Databricks, and full-lifecycle modernization in environments up to Top Secret. Modern engineering, federal delivery discipline. Our engineers are senior, deeply technical, and experienced operating inside federal environments. They pair AI/ML, cloud, and modern development expertise with hands-on experience across federal architecture, procurement, and compliance. Our work has earned strong recognition from federal partners — a standard we hold on every engagement. We pair modern capabilities — MLOps, generative AI, multi-cloud, human-centered design — with the disciplines federal systems require: DevSecOps, infrastructure as code, RMF and ATO support, and continuous monitoring. The result is innovation that is deployable, defensible, and built to last. Our work spans behavioral forecasting and anomaly detection in taxpayer-facing systems, identity resolution and biometric verification for immigration and law enforcement, operational analytics across the Department of Justice, intelligent automation on ServiceNow and Unqork, and BI modernization from Looker to Tableau. We partner closely with government product owners and prime contractors, delivering iteratively through Agile and SAFe with the documentation, security, and audit trail federal systems require. We help federal customers turn legacy systems into modern platforms, data into decisions, and mission priorities into measurable outcomes.
Key team members

Richard Fairfield

Alex Tong

Michael Dere

Ryan King
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