Looking for Senior Google Cloud Platform Engineer / Cloud Architect – ML & Cluster Infrastructure_ Remote
Vrddhi Solutions LLC
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Job Details
Skills
- GPU
- Cloud Storage
- Collaboration
- Computer Networking
- Continuous Delivery
- Artificial Intelligence
- Cloud Computing
- Cloud Security
- Continuous Integration
- Data Science
- Good Clinical Practice
- Docker
- Google Cloud
- Google Cloud Platform
- High Availability
- Machine Learning Operations (ML Ops)
- IT Architecture
- Optimization
- Orchestration
- Performance Tuning
- Root Cause Analysis
- Scheduling
- Kubernetes
- Supervision
- Terraform
- Training
- Machine Learning (ML)
- Management
- Scalability
- Storage
- Vertex
- Video
- Virtual Private Cloud
- Workflow
Summary
Job Description: Senior Google Cloud Platform Engineer / Cloud Architect – ML & Cluster Infrastructure
Position: Senior Google Cloud Platform Engineer / Cloud Architect
Experience: 8–10+ years overall, with strong hands-on Google Cloud Platform experience
Role Overview
We are looking for a highly experienced Google Cloud Platform Engineer / Cloud Architect with strong Machine Learning (ML) expertise and extensive experience managing large-scale clusters and distributed infrastructure.
The ideal candidate must be technically strong, hands-on, and confident enough to take complete ownership of the cloud and ML infrastructure space. We need someone who can architect solutions, drive technical decisions, troubleshoot complex issues, and work independently without constant supervision.
This is a high-ownership role requiring someone who can be present, command the technical space, and drive outcomes end to end.
Key Responsibilities
- Design, build, and manage scalable, secure, and highly available cloud architectures on Google Cloud Platform (Google Cloud Platform).
- Lead the architecture and implementation of large-scale cluster environments using Google Kubernetes Engine (GKE) and related container orchestration technologies.
- Build and optimize infrastructure supporting ML workloads, distributed training, model deployment, and inference pipelines.
- Work extensively with Google Cloud Platform services such as Vertex AI, BigQuery, Cloud Storage, IAM, VPC, Cloud Monitoring, and Cloud Logging.
- Manage cluster scalability, performance optimization, workload scheduling, resource utilization, networking, and reliability.
- Collaborate with ML engineers and data science teams to operationalize machine learning models and productionize ML workloads.
- Implement MLOps practices, including model deployment, CI/CD, model monitoring, automation, and infrastructure as code.
- Own technical architecture, design decisions, production issues, root-cause analysis, and performance improvements.
- Establish cloud security, governance, observability, cost optimization, and operational best practices.
- Act as the go-to technical authority for Google Cloud Platform, cluster infrastructure, and ML platform-related challenges.
Required Technical Skills
Google Cloud Platform (Google Cloud Platform)
- Strong hands-on experience designing and implementing enterprise-grade Google Cloud Platform architectures.
- Expertise in Google Cloud Platform networking, IAM, security, compute, storage, and monitoring.
- Experience with infrastructure automation using Terraform and CI/CD tools.
Kubernetes & Cluster Engineering
- Extensive experience with GKE, Kubernetes, Docker, and containerized workloads.
- Proven experience managing large-scale clusters, distributed workloads, autoscaling, and resource optimization.
- Strong understanding of cluster networking, observability, high availability, and troubleshooting.
Machine Learning & MLOps
- Strong understanding of ML workflows, model training, deployment, and inference.
- Hands-on exposure to Vertex AI, Kubeflow, ML pipelines, or equivalent ML platforms.
- Experience deploying and scaling ML workloads on cloud-native infrastructure.
- Knowledge of GPU-based workloads, distributed training, and ML resource scheduling is highly desirable.
- Dice Id: 91138338
- Position Id: 9129356
- Posted 1 hour ago
Company Info
About Vrddhi Solutions LLC
Our clients trust us for what we do. We use our skills and industry experience to recruit, consult with and retain the best technology talent who will be the right fit for our clients, instead of simply filling an open position.
Vrddhi Solutions LLC helps skilled technology professionals connect with direct hire and contract positions in the areas of their expertise. Our clients utilize our services so they can focus on their business goals. We take on the responsibility of sourcing, screening, and hiring a most suitable candidate for our esteemed clients.
Vrddhi Solutions was established and firmly rooted beyond traditional staffing and consulting services – we believe in relationships. We are invested in you. And that means diving deep – understanding both your current and potential longer-term gaps and needs – and bringing the very best technical talent and cultural fit for those specific objectives.
We strive to provide experience-driven staffing solutions and managed services models that allow you to retain resources and knowledge
