JobHabor

Google Cloud Platform (GCP) Engineer

Saic
Location
Washington, DC, United States
Workplace
Onsite
Employment
Salary
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Posted 7d ago

Job Summary

We are seeking a mid-level Google Cloud Platform (GCP) Engineer with strong, hands-on experience across cloud administration, automation, system integration, and application support. This role supports production GCP environments and participates in cloud migration initiatives, including on-premises to cloud and cloud-to-cloud migrations.

This position prioritizes real-world, operational experience over certifications. While Google Cloud certifications are valued, demonstrated hands-on experience designing, deploying, automating, migrating, and supporting GCP workloads in production environments carries significantly more weight.

Experience with data engineering and analytics platforms is a strong plus but not a strict requirement for candidates with a proven track record of strong GCP engineering experience.

Must be able to work onsite on a full-time basis! Remote positions will be considered depending on skills, qualifications, and availability during 7AM-7PM Eastern support window.

Job Role Specific Requirements

Bachelor's Degree and 5+ years of experience or Master's Degree and 3+ years of experience

GCP Administration & Operations

  • 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 environments across development, test, staging, and production

Automation & Infrastructure as Code

  • 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 and Cloud Scheduler
  • Develop and maintain scripts using Python and/or shell scripting
  • Reduce manual effort through standardization and automation

Cloud Migration & Modernization

  • Support cloud migration initiatives, including:
  • On premises to Google Cloud migrations
  • Cloud-to-cloud migrations (e.g., AWS or Azure to GCP)
  • Assist with:
  • Migration planning and execution
  • Workload and dependency analysis
  • Data, application, and infrastructure migrations
  • Support cutovers, post-migration stabilization, and optimization

Help modernize legacy workloads into cloud-native or hybrid architectures

Integration & Platform Engineering

  • Integrate GCP services with enterprise systems such as:
  • Identity platforms (Google Workspace, Active Directory, SSO)
  • CI/CD pipelines and automation tooling
  • SaaS and internal applications
  • Support API-based and event-driven integrations using REST and Pub/Sub
  • Collaborate with security, networking, and application teams
  • Assist with hybrid and multi-cloud integration patterns

Application & Development Support

  • Support applications deployed on:
  • Compute Engine, GKE, Cloud Run and App Engine
  • Assist development teams with:
  • Environment provisioning
  • Deployment pipelines
  • Performance and reliability tuning
  • Review cloud architectures for scalability, resilience, security, and cost

Data & Analytics (Strong Plus)

  • Support data platforms such as:
  • BigQuery, Cloud Storage, Pub/Sub, Dataflow
  • Assist with data ingestion pipelines and analytics workloads
  • Understand basic data governance, access controls, and performance tuning

Required skills and qualifications

  • Active public trust and/or DOT on-boarded is a strong plus
  • 3–6 years of hands-on experience working with Google Cloud Platform in production environments
  • Proven experience administering and supporting GCP services

Note

Candidate must be a U.S. citizen or green card holder who has resided in the U.S. for at least 3 years and

the ability to obtain public trust

Skills

  • GCP
  • IAM
  • VPC
  • Cloud Monitoring
  • Terraform
  • Cloud Functions
  • Cloud Run
  • Cloud Scheduler
  • Python
  • Shell
  • AWS
  • Azure
  • Google Workspace
  • Active Directory
  • SSO
  • Pub/Sub
  • Compute Engine
  • GKE
  • BigQuery
  • Google Cloud Storage
  • Dataflow

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