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General Dynamics Information Technology

engineering opportunity

Senior Google Cloud Platform Engineer

Engineer and optimize GCP infrastructure across IaaS, PaaS, and AI services while supporting data scientists with Vertex AI and BigQuery. Develop Infrastructure as Code using Terraform and implement DevSecOps practices to ensure environment reliability and security.

Maryland, United StatesremoteFULL_TIME

Posted

About the role

What will you do at General Dynamics Information Technology?

Type of Requisition: Regular Clearance Level Must Currently Possess: None

Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: SSBI

(T5) Job Family: IT Infrastructure and Operations Job

Qualifications

  • Skills:
  • GCP Cloud SQL, Google Cloud Platform (GCP) for Machine Learning, Google Cloud
  • Platform Administration, Google Cloud Platform Architecture, Google Cloud
  • Storage Certifications: None Experience: 10 + years of related experience US
  • Citizenship Required: No

Job Description

GDIT is seeking a Senior Google Cloud

Platform Engineer to administer the Google Cloud Platform (GCP), working with

AWS and Azure Engineers to maintain, patch, automate and help AI devs solve and

solution technical issues. As a Senior GCP Engineer , the work you’ll do at GDIT

will be impactful. You will play a crucial role providing senior-level

engineering expertise and supports mission programs by delivering scalable cloud

infrastructure, enhancing DevSecOps capabilities, and enabling AI and data

science proof-of-concepts across customer environments. You will deliver

scalable cloud infrastructure, enhance DevSecOps capabilities, and support AI/ML

and data-science initiatives across mission environments. You will ensure GCP

environment reliability, performance, governance, and security in support of

modernization and mission outcomes. Work visa sponsorship will not be provided

for this role. Advance how our customers operate while you advance your career.

Join GDIT remotely as a Senior Google Cloud Platform Engineer and build an

impactful career in enterprise IT, collaborating with people who are driven and

resourceful like you. HOW YOU WILL MAKE AN IMPACT: Engineer, deploy, and

optimize GCP infrastructure across IaaS, PaaS, serverless, container, data, and

AI services. Support data scientists and AI engineers using Vertex AI, Gemini

APIs, Model Garden, BigQuery ML, Dataproc, Dataflow, and Databricks on GCP.

Develop and maintain Infrastructure as Code (IaC) using Terraform and

policy-driven automation frameworks. Migrate cloud resources into IaC with

version control, automated testing, and compliance enforcement. Implement

DevSecOps practices including automated scans, configuration compliance,

policy-as-code, and CI/CD controls. Engineer core GCP components: compute,

storage, networking, identity, Kubernetes, monitoring, logging, and governance.

Design and support secure connectivity across hybrid, SaaS, and multi-cloud

architectures. Produce architecture diagrams, engineering documentation,

implementation guides, and technical recommendations. Evaluate emerging GCP, AI,

and multi-cloud services and recommend adoption strategies. Contribute to cloud

standards, reusable patterns, landing zones, security baselines, and

modernization roadmaps. WHAT YOU’LL NEED TO SUCCEED Bring your technology

expertise and drive for innovation to GDIT. The Cloud Engineer Sr Principal must

have: Bachelor’s degree in Computer Science, IT, Systems Engineering, or related

field. 10+ years of cloud, infrastructure, systems, or platform engineering

experience, preferably with hands-on development experience. Hands-on

enterprise-scaling Google Cloud Platform (GCP) engineering and operations

experience. Experience supporting AI/ML workloads (Vertex AI, BigQuery,

Dataproc, Dataflow, MLOps patterns). Strong DevSecOps automation skills,

including CI/CD, Git-based workflows, and secure deployment practices. Expertise

with Terraform and IaC best practices. Understanding of multi-cloud concepts and

AWS/Azure equivalents. Proficiency with Linux and Windows Server. Scripting

experience with Python, Bash, and PowerShell. Strong GCP networking experience

(VPCs, subnets, firewall rules, Cloud DNS, Cloud NAT, Cloud Router, Cloud VPN,

Cloud Interconnect, PSC, load balancing, routing). Experience with Docker and

Google Kubernetes Engine (GKE). Experience with key GCP services including:

Compute Engine, Cloud Storage, Cloud SQL, BigQuery, Cloud Functions, Cloud Run,

Artifact Registry, Cloud Build, Cloud Deploy, Cloud Logging, Cloud Monitoring,

IAM, Secret Manager, Cloud KMS, SCC, and/or Organization Policy Service. Ability

to obtain and maintain a Secret clearance (U.S. citizenship required) PREFERRED

QUALIFICATIONS: Google Cloud certifications, including Cloud Architect, DevOps

Engineer, Security Engineer, Data Engineer, ML Engineer. Experience with Vertex

AI, Gemini APIs, Model Garden, Dataplex, Looker, Cloud Composer, Pub/Sub, and

Databricks on GCP. Experience engineering secure GCP landing zones (Org

Policies, folder/project design, centralized logging, Shared VPC, guardrails).

Experience in regulated environments (FedRAMP, HIPAA, NIST 800-53 / 171, CMMC).

Security+, CySA+, CISSP, CCSP, CKA, or CKAD certifications. Experience with

Agile/Scrum, Jira, Confluence, GitLab, GitHub Actions, or Azure DevOps.

Experience integrating SaaS platforms with GCP and hybrid/multi-cloud

environments. GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our

people are at the center of everything we do. Growth: AI-powered career tool

that identifies career steps and learning opportunities Support: An internal

mobility team focused on helping you achieve your career goals Rewards:

Comprehensive benefits and wellness packages, 401K with company match, and

competitive pay and paid time off Community: Award-winning culture of innovation

and a military-friendly workplace OWN YOUR OPPORTUNITY Explore an enterprise IT

career at GDIT and you’ll find endless opportunities to grow alongside

colleagues who share your desire to drive operations forward. The likely salary

range for this position is $149,469 - $184,000. This is not, however, a

guarantee of compensation or salary. Rather, salary will be set based on

experience, geographic location and possibly contractual requirements and could

fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less

than 10% Telecommuting Options: Remote Work Location: Any Location / Remote

Additional Work Locations: Total Rewards at GDIT: Our benefits package for all

US-based employees includes a variety of medical plan options, some with Health

Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering

the ability to contribute both pre and post-tax dollars up to the IRS annual

limits and receive a company match. To encourage work/life balance, GDIT offers

employees full flex work weeks where possible and a variety of paid time off

plans, including vacation, sick and personal time, holidays, paid parental,

military, bereavement and jury duty leave. GDIT typically provides new employees

with 15 days of paid leave per calendar year to be used for vacations, personal

business, and illness and an additional 10 paid holidays per year. Paid leave

and paid holidays are prorated based on the employee’s date of hire. The GDIT

Paid Family Leave program provides a total of up to 160 hours of paid leave in a

rolling 12 month period for eligible employees. To ensure our employees are able

to protect their income, other offerings such as short and long-term disability

benefits, life, accidental death and dismemberment, personal accident, critical

illness and business travel and accident insurance are provided or available. We

regularly review our Total Rewards package to ensure our offerings are

competitive and reflect what our employees have told us they value most. Our

Identity Verification Process: As part of the hiring process, we will ask you to

complete an identity verification process that leverages advanced biometrics and

artificial intelligence to ensure authenticity and protect against identity

fraud. You are expected to be on camera during virtual interviews. We reserve

the right to take your picture to verify your identity and prevent fraud. By

proceeding, you authorize the collection, processing, and use of your biometric

data for identity verification and security purposes. About Our Work: We are

GDIT. A global technology and professional services company that delivers

technology solutions and mission services to every major agency across the U.S.

government, defense and intelligence community. Our 26,000 experts extract the

power of technology to create immediate value and deliver solutions at the edge

of innovation. We operate across 50+ countries worldwide, offering leading

mission-ready capabilities in AI, cloud, cyber and software development. Join

our Talent Community to stay up to date on our career opportunities and events

at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities /

Protected Veterans Opportunity Owned From working with technologies like AI,

cyber and cloud to careers in intelligence and health, we offer endless

opportunities to apply your expertise to create a safer, smarter world. For more

information about GDIT's Privacy Policy, click here: Privacy Policy | GDIT

Which skills does this role require?

Google Cloud PlatformTerraformVertex AIKubernetesDevSecOpsPythonBashPowerShellBigQueryCloud SQLDockerGKEInfrastructure as CodeLinuxWindows ServerMulti-cloud ArchitectureBigQuery MLDataprocDataflowIaCCI/CDCloud DNSCloud NATCloud RouterCloud VPNCloud InterconnectPSCCompute EngineCloud StorageCloud FunctionsCloud RunArtifact RegistryCloud BuildCloud DeploySQLAWSMachine LearningProduct Strategy

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