Aptonet · 12 hours ago
Google Cloud Platform engineer
Leidos is seeking a mid-level Google Cloud Platform (GCP) Engineer to support production cloud environments and cloud migration initiatives for a Department of Transportation (DOT) program. This role focuses on hands-on cloud engineering, including GCP administration, automation, infrastructure as code, system integration, and application support.
Responsibilities
Administer and support GCP organizations, folders, projects, and billing
Manage IAM roles, service accounts, and access controls using least-privilege principles
Configure and maintain VPC networks, firewall rules, VPNs, and hybrid connectivity
Monitor platform health using Cloud Monitoring, Logging, and Alerting
Troubleshoot production issues and perform root-cause analysis
Support development, test, staging, and production environments
Design, deploy, and maintain infrastructure using Infrastructure as Code (IaC):
Terraform (preferred)
Deployment Manager (where applicable)
Automate operational and lifecycle tasks using:
Cloud Functions
Cloud Run
Workflows
Cloud Scheduler
Develop and maintain scripts using Python and/or shell scripting
Reduce manual effort through standardization and automation
Support on-premises to GCP and cloud-to-cloud migrations (AWS/Azure to GCP)
Assist with migration planning, execution, and workload dependency analysis
Support data, application, and infrastructure migrations
Participate in cutovers, post-migration stabilization, and optimization
Help modernize legacy workloads into cloud-native or hybrid architectures
Integrate GCP services with enterprise systems, including:
Identity platforms (Google Workspace, Active Directory, SSO)
CI/CD pipelines and automation tools
SaaS and internal applications
Support API-based and event-driven integrations using REST and Pub/Sub
Collaborate with security, networking, and application teams
Support hybrid and multi-cloud integration patterns
Support applications deployed on:
Compute Engine
GKE
Cloud Run
App Engine
Assist development teams with environment provisioning and deployment pipelines
Perform performance, reliability, scalability, security, and cost reviews of cloud architectures
Qualification
Required
3–6 years of hands-on experience with Google Cloud Platform in production environments
Proven experience administering and supporting GCP services, including: IAM, VPC, Compute Engine, Cloud Storage
Experience with monitoring, logging, and alerting
Hands-on experience with Infrastructure as Code and automation
Experience supporting cloud migration initiatives (on-prem → cloud and/or cloud → cloud)
Proficiency in Python and/or shell scripting
Strong troubleshooting, problem-solving, and documentation skills
Ability to work independently while collaborating across technical teams
BS or MS in Computer Science, Information Systems, or related discipline
Typically: BS with 4–8 years of relevant experience or MS with 2–6 years of relevant experience
Active Public Trust and/or DOT onboarding is a strong plus
Must be eligible to obtain Public Trust clearance
5 days per week onsite in Washington, DC
Preferred
Experience with GKE (Kubernetes) or containerized workloads
Experience with CI/CD pipelines (Cloud Build, GitHub Actions, Jenkins, etc.)
Experience with data engineering concepts on database platforms
Experience supporting enterprise identity integrations
Familiarity with cloud security best practices
Google Cloud certifications (Associate or Professional) — optional
Experience with data and analytics platforms: BigQuery, Cloud Storage, Pub/Sub, Dataflow
Company
Aptonet
Aptonet delivers innovative IoT, operations research, mobility & web solutions along with staffing services with a focus on professionalism.
Funding
Current Stage
Growth StageCompany data provided by crunchbase