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Summer Python Developer Google Jobs in New York (NOW HIRING)

Strong programming experience with Python. * Experience building applications using modern AI ... Experience deploying AI applications to cloud platforms such as Azure, AWS, or Google Cloud.

AI Developer

Manhattan, NY · On-site

$115K/yr

Strong programming experience with Python. * Experience building applications using modern AI ... Experience deploying AI applications to cloud platforms such as Azure, AWS, or Google Cloud.

Strong programming experience with Python. * Experience building applications using modern AI ... Experience deploying AI applications to cloud platforms such as Azure, AWS, or Google Cloud.

Showing results 21-40

Summer Python Developer Google information

What is the difference between Summer Python Developer Google vs Summer Data Analyst Google?

AspectSummer Python Developer GoogleSummer Data Analyst Google
Required SkillsPython, programming, data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis teams, reporting tasks
Industry UsageTech, software, AI projectsBusiness, marketing, product insights

Summer Python Developer Google focuses on coding and developing software solutions using Python, often working on AI or backend projects. In contrast, Summer Data Analyst Google emphasizes analyzing data, creating reports, and deriving insights. Both roles are popular summer internships at Google, but they serve different functions within the tech ecosystem.

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Sr. Google Cloud Platform Platform Engineer

TekShapers

Manhattan, NY • On-site

Other

Posted 9 days ago


Job description

Google Cloud Platform Platform Engineer – Enterprise Cloud & AI PlatformRole SummaryThe Google Cloud Platform Platform Engineer is responsible for designing, building, and operating secure, compliant, and scalable cloud and AI-enabled platforms on Google Cloud Platform (Google Cloud Platform). 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 PlatformDesign and maintain enterprise Google Cloud Platform landing zones aligned with NYL governance standards.Build and operate shared cloud services supporting both 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 WorkloadsEngineer 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 Experience: 10+ years of experience in cloud, platform, or DevOps engineering.Google Cloud Platform Expertise: Strong hands-on experience with Google Cloud Platform.IaC: Expertise in Terraform and Infrastructure as Code. Harness IACMContainers: Experience operating Kubernetes / GKE Autopilot in enterprise environments.Scripting: Proficiency in Python, Bash, or Go.Security & Networking: Strong understanding of cloud security, IAM, and networking concepts.Governance: Experience working in regulated or highly governed environments.Desired / Preferred Qualifications (AI-Focused)Experience enabling or operating Google AI services, such as:Vertex AI (endpoints, pipelines, monitoring, agentic AI engines, and communication protocols).Gemini APIs or other managed GenAI services