Cloud Engineer Mid-level (Google Cloud)

Saic; Washington (District of Columbia); On-site; USD 120,000 - 160,000; Full time

Job summary

SAIC is seeking a mid-level Google Cloud Platform (GCP) Engineer to support production GCP environments, migrations, and integration with enterprise systems. Role emphasizes hands-on cloud administration, automation, and operations, with on-site work required and limited remote options based on skills.

Ideal candidates have 3–6 years of hands-on GCP experience, strong knowledge of IAM, VPC, monitoring, and IaC, and the ability to work across development, test, and production environments in a US

Job description

Description

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.

Qualifications

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 andthe ability to obtain public trust.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.