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Description

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.

Core Responsibilities and Duties; Highlight Day-to-Day Activities:

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

+ 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

+ 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

Qualifications

Required Skills and Qualifications:

+ 5 years of experience working with Google Cloud Platform to include BI tools available in Google Workspace: Less time may be considered if broader experience in applicable BI tools/systems is demonstrated (i.e., Tableau, SAS, Power Platforms, Power Apps, M365 suite of apps)

+ Google Cloud Platform certifications are a plus, but not required. There’s more emphasis place on actual hands-on experience

+ BS/MS in Computer Science, Information Systems or related discipline

+ Proven experience administering and supporting GCP services, including:

+ IAM, VPC, Compute Engine, Cloud Storage

+ Monitoring, logging, and alerting

+ Hands-on experience with Infrastructure as Code and automation

+ Experience supporting 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 teams

+ 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 a public trust

Preferred / Nice-to-Have Qualifications:

+ Experience with GKE (Kubernetes) or containerized workloads

+ Experience with CI/CD pipelines (Cloud Build, GitHub Actions, Jenkins, etc.)

+ Experience with data engineering concepts on any of the db platforms

+ Experience supporting enterprise identity integrations

+ Familiarity with cloud security best practices

+ Google Cloud certifications (Associate or Professional) — optional

Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

REQNUMBER: 2600358

SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability