GCP Cloud Engineer

Who we are... Latitude is a growing Service-Disabled Veteran Owned (SDVOSB) Company within the Federal Sector. We have experience in working with various federal clients across multiple different agencies. We believe in adopting and growing a remote work-from-home culture wherever possible to ensure a healthy work-to-life balance. We believe in automating the mundane and investing in our employees helping them grow their careers over time. We strive for innovation and want to develop solutions that we can take pride in and help break through some of the barriers that exist in technology and the government sectors today. Description... We are hiring a GCP Cloud Engineer to build, automate, and maintain secure Google Cloud Platform environments for a federal health customer. Working under a lead architect, you will provide hands-on implementation and operational support across compute, networking, security, and automation. The role sits on a cloud operations and migration team that supports application and project teams running workloads in the cloud. This position is fully remote in the United States. What You Will Do... Build, deploy, and maintain GCP environments across Compute Engine, GKE, and Cloud Run, including Red Hat Linux and Windows virtual machines Write reusable Terraform modules that enforce secure configurations, and build and troubleshoot CI/CD pipelines for automated testing and deployment Administer IAM roles and policies, including Workload Identity Federation for keyless authentication from external environments Configure and use GCP operational tools for monitoring, logging, and alerting so service levels and performance targets are met Troubleshoot issues across infrastructure, networking, GKE, and pipelines, and produce architecture diagrams, runbooks, SOPs, and compliance artifacts Minimum Qualifications... Bachelor's degree in computer science, engineering, or a related technical discipline, or 10 additional years of relevant work experience in lieu of a degree 6+ years setting up, configuring, and using GCP operational tools to meet service levels, performance targets, and compliance requirements 3+ years of hands-on engineering with GCP core services, including advanced troubleshooting across infrastructure, networking, GKE, and CI/CD pipelines Hands-on experience with Compute Engine (Red Hat Linux and Windows), GKE, Cloud Run hosting Python services, and GCP IAM, including Workload Identity Federation Strong proficiency with Terraform, including reusable modules, and with CI/CD tools such as Cloud Build or GitHub Actions Experience working in environments governed by federal frameworks, including producing architecture diagrams, runbooks, SOPs, and compliance artifacts Ability to obtain and maintain a federal background investigation (Public Trust) Preferred Qualifications... Active Public Trust Current Google Cloud certification, such as Associate Cloud Engineer or a Professional-level certification Experience supporting federal government programs, especially federal health Knowledge of regulated environments: FedRAMP, HIPAA, NIST 800-53, CIS benchmarks Understanding of zero trust principles, boundary protection, segmentation, and secure data flows Experience with AWS, Azure, or Oracle Cloud Infrastructure, and with Red Hat OpenShift Experience creating and maintaining VM images and remediating vulnerability scan findings Clearance... Applicants selected will be subject to a Security Investigation and May need to Meet Requirements for Access to Protected and/or Classified Information Citizenship... Applicants need to be a US Citizen to be considered for the position and have physically resided in the United States for a minimum of 3 years due to background investigation requirements Employee Benefits... Medical, Vision, Dental Paid Vacation & Sick Time Paid Federal Holidays 401k Retirement Plan with 100% Company Matching Employer Paid Life Insurance Continued Education Assistance Employee Assistance Program (EAP) Commuter Benefits Program Health Savings Account (HSA) We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. The posted range is base annual salary, placement within the range depends on qualifications, relevant experience, and contract requirements.