Senior Google Cloud Platform Engineer
About The Position
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.
Requirements
- 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)
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- Comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay
- Paid time off
- Medical plan options
- Health Savings Accounts
- Dental plan options
- Vision plan
- 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.
- Full flex work weeks where possible
- Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
- 15 days of paid leave per calendar year to be used for vacations, personal business, and illness
- 10 paid holidays per year
- Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees.
- Short and long-term disability benefits
- Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
