Job ID: JOB_ID_5316
Role Summary:
The GCP Platform Engineer is responsible for designing, building, and operating secure, compliant, and scalable cloud and AI-enabled platforms on Google Cloud Platform (GCP). This role enables application, data, and analytics teams by providing standardized cloud infrastructure, Kubernetes platforms, and approved Google AI services, while meeting financial services regulatory, security, and resiliency requirements. The engineer partners with the Cloud, Data & AI teams, Information Security, and Risk to ensure AI workloads are deployed with appropriate governance, data controls, and observability.
Key Responsibilities:
Enterprise Cloud & AI Platform
- Design and maintain enterprise GCP landing zones aligned with governance standards
- Build and operate shared cloud services supporting AI and non-AI workloads
- Implement Infrastructure as Code (Terraform) for platform, networking, and AI Service enablement
- Support hybrid connectivity and secure data access patterns for AI use cases
Kubernetes, Containers & AI Workloads
- Engineer and operate GKE clusters for application and AI inference workloads
- Enable containerized AI services and microservices using approved base images
- Support GPU-enabled workloads where approved
- Implement standardized deployment patterns for AI APIs and services
Google AI / GenAI Enablement
- Enable and operate approved Google AI services, including: Vertex AI (model hosting, endpoints, pipelines – platform enablement only, agentic AI engine and communication protocols)
Job Title: Lead GCP Platform Lead
Role Summary:
Act as the technical lead for cross-team GCP projects. Conduct architecture reviews, provide the best engineering practices, and guide solution design. Provide mentorship to engineers working within application, infrastructure, and platform teams. Act as the escalation point for complex cloud and infrastructure issues.
DevOps & Automation
- Build and optimize CI/CD pipelines using Harness, GitHub Actions, Jenkins, or similar tools.
- Implement Infrastructure as Code (IaC) using Terraform or equivalent.
- Automate deployment, provisioning, monitoring, and operational workflows.
- Drive adoption of Site Reliability Engineering (SRE) practices.
Security, Governance & Compliance
- Ensure all solutions meet standards for security, privacy, and regulatory compliance.
- Implement IAM, network security, encryption, and key-management best practices.
- Partner with enterprise security, risk, and compliance teams.
- Establish and enforce guardrails for cost management and governance.
Platform & Services Management
- 8+ years of software, cloud, or infrastructure engineering experience.
- 4+ years of hands-on experience with Google Cloud Platform.
- Proven experience designing cloud-native and hybrid architectures.
Expertise in:
- GCP core services and networking
- Kubernetes (GKE) and containerization
- CI/CD pipelines and DevOps practices
- Infrastructure as Code (Terraform preferred)
- Python, Java, Go, or similar programming languages
- Experience working in Agile/DevOps environments.
Preferred Qualifications:
- Experience in regulated industries such as insurance, financial services, or healthcare.
- Strong background in security, identity management, and compliance frameworks.
Keywords:
- continuous integration continuous deployment
- artificial intelligence
- golang
- Alabama
- New Jersey
Compensation & Location
Salary: $100,000 – $150,000 per year
Location: Lebanon, NJ
Recruiter / Company – Contact Information
Email: shnamohan@hanstaffing.com
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