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Job Title: – GCP Architect (Google Cloud Platform)
Skill Cluster: ET-GENAI-GCPPrimary Skills: LangChain, Python, DocAIEmail: Experience: 10+ years
Job Description:
Job Information
Job Title : Architect (Level: Manager)
Skill Cluster : ET-GENAI-GCP.
Primary Skill : Lang Chain, Python, DocAI
Experience : 10 years
Job Description :
Google Cloud Platform (GCP) Expertise: Hands-on experience with Vertex AI, including Agent Engine, Vertex AI Search,
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Job Description: •Design and deploy cloud-based infrastructure on Google Cloud Platform (GCP) using various services (e.g., Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery, etc.•Manage and monitor cloud environments, ensuring their optimal performance, availability, and security.•Collaborate with development teams to create efficient and scalable cloud architectures.•Automate cloud operations using Infrastructure as Code (IaC) tools like Terraform, Cloud Deployment Manager, etc.•Imp
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Role: –Terraform Google Cloud Platform architectBill Rate: $78/hour C2CLocation: RemoteDuration: 12+ months/ long-term Interview Criteria: Telephonic + ZoomDirect Client Requirement
Deep expertise in Terraform (HCL) and Google Cloud Platform architecture
Familiarity with networking, IAM, logging, and monitoring in Google Cloud Platform
Experience integrating Terraform with CI/CD and GitOps workflows
Knowledge of scripting (Python, Bash) for automation and maintenance
Understanding of
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A highly experienced Google Cloud Platform Solution Architect with deep expertise in cloud architecture, data platforms, and utilities domain compliance. Must have strong leadership skills, ability to guide migrations, and hands-on experience with GCP services and modern data solutions.
Top Skills:
Google Cloud Platform (GCP) – Architecture, migration strategies, BigQuery, Vertex AI, Dataflow, Pub/Sub
Cloud Data & Analytics – Batch/streaming pipelines, data warehouses, AI/ML integratio
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Job Description:
Tavant seeks an Sr. Cloud Platform/DevOps engineer to augment the Cloud Platform Engineering team. The engineer will operate as an embedded engineer, supporting day-to-day sprint priorities and contributing to various cloud infrastructure, Kubernetes, CI/CD, security, and platform automation initiatives. This engagement is execution-focused, with an emphasis on GCP, AWS, Terraform, Kubernetes, GitOps workflows, DevSecOps, and automation-driven engineering.
Role
The
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Hi Hope you are doing well !! I have an urgent position. Kindly go through the Job description and let me know if this would be of interest to you. Title : GCP Data Engineer (Onsite) Duration : 6-12 Months Location : Onsite in Santa Clara, CA About the job Must have python SQL and GCP platform good exp. We are looking for a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure t
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Job Description:10+years of experience in Solution Architecting with Infra BackgroundDeep knowledge of VPC design patterns (Shared VPC, VPC-SC, PSC, etcStrong understanding of IAM at scaleMaintain all cloud services such as GKE, BQ, Vertex AI, Storage, Networking, IAM,Hands-on with Terraform (HCL, modules, state mgmt. etc for multi-project rollout.Experience with Set up monitoring and alerting for cloud resources. Monitor resource usage, Performance metrics, and system health, and troubleshootin
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Role: –Google Cloud Platform Data Engineer Bill Rate: $80/hour C2CLocation: Chicago, ILDuration: 12+ months/ long-term Interview Criteria: Telephonic + ZoomDirect Client Requirement
Job Description/Role Notes:
Design and implement scalable data pipelines on #Google Cloud Platform using tools like#Dataflow, #Pub/#Sub, #BigQuery, and#Cloud #Storage.
Migrate existing #AWS data solutions (e.g., #S3,#Redshift, #RDS, Glue) to Google Cloud Platform equivalents.
Develop #ETL/ELT #workflows to t
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Locations: Denver, CO/Plano, TX
On-premise to cloud application migration experience.
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Job Title : MLOps Engineer GCP (Vertex / Gemini / Greenfield) (W2 Only)Location :RemoteDuration: 6-12 month project
Job Description:-
We are looking for an experienced MLOps Engineer with strong hands-on expertise in Google Cloud Platform, Vertex AI, and GenAI (Gemini). The consultant will be responsible for building and operationalizing end-to-end machine learning pipelines and integrating GenAI models into production environments. Prior experience working inGreenfield GCP setup or clou
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