Cloud Engineer Mid-level (Google Cloud)

Posted 25 Days Ago
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Washington, DC, USA
In-Office
Mid level
Security
The Role
Administer and support production GCP environments across organizations, networking, IAM, monitoring, security, and troubleshooting. Build infrastructure automation with Terraform, Deployment Manager, Python, and shell scripting. Support on-premises and multi-cloud migrations, workload modernization, integrations, CI/CD, application deployments, and cloud-native platforms. Collaborate with development, security, and networking teams to improve scalability, reliability, performance, and cost. Experience with BigQuery, Cloud Storage, Pub/Sub, and Dataflow is beneficial.
Summary Generated by Built In

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 and the ability to obtain public trust.

About UsSAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Skills Required

  • Bachelor's degree and 5+ years of experience, or master's degree and 3+ years of experience
  • 3-6 years of hands-on Google Cloud Platform experience in production environments
  • Proven experience administering and supporting GCP services
  • U.S. citizenship or green card holder status
  • Resided in the United States for at least 3 years
  • Ability to obtain Public Trust
  • Full-time onsite availability; remote consideration depends on skills, qualifications, and availability
  • Active Public Trust and/or DOT onboarding
  • Google Cloud certifications
  • Experience with data engineering and analytics platforms
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The Company
HQ: Stamford, CT
34,000 Employees

What We Do

Spectrum San Diego is a high tech security innovator, specializing in ultra-low-dose X-ray screening systems.

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