34,443 Google Cloud jobs
Open roles that use Google Cloud Platform for cloud infrastructure.
Technical Architect, Java/Spring Boot
Designs and leads Java/Spring Boot microservices, Kafka event-driven architectures, and cloud-native migrations for Fortune 500 clients.
Software Development Architect
Design and lead implementation of scalable, secure full-stack solutions using Java/Spring Boot, Python, Node.js, and cloud platforms like GCP.
Technical Architect, Machine Learning
Design and implement enterprise-grade MLOps/LLMOps pipelines on AWS, including SageMaker, EKS, and CI/CD, to deploy and monitor scalable AI/ML and LLM systems for Fortune 1000 clients.
AI Engineer
Owns LLM evaluation, selection, and optimization for a legal-focused AI analytics platform, building eval frameworks and deploying model transitions to improve accuracy and cost efficiency.
AI Engineer
Owns LLM evaluation, selection, and optimization for a legal/medical insights platform, building eval frameworks and deploying model transitions to production.
AI Engineer
Build and optimize LLM pipelines for legal/medical document analysis, continuously evaluating and integrating new models to improve accuracy, cost, and resilience in production.
AI Engineer
Build and optimize LLM pipelines for legal/medical document analysis, continuously evaluating and integrating new models to improve accuracy, cost, and resilience in a production AI platform.
AI Engineer
Build and maintain production-grade LLM systems for a legal analytics platform, evaluating and optimizing models for accuracy, cost, and resilience in document understanding and summarization.
AI Engineer
Owns LLM evaluation, selection, and optimization for a legal/medical insights platform, building eval frameworks and deploying production-grade AI pipelines.
Senior Infrastructure Engineer
Design, deploy, and maintain Linux-based infrastructure and on-prem Kubernetes clusters while automating workflows with Python, Bash, and SaltStack for a global market-infrastructure provider.
Software Engineer, Backend - L3 (Python)
Designs and builds scalable backend services in Python for Haptik’s conversational AI products, working with microservices, cloud platforms, and databases to support enterprise customers.
DevOps Engineer
DevOps and SecOps Engineer for a B2B Travel Tech startup, owning CI/CD pipelines and cloud security on AWS/GCP with Terraform, Docker, Kubernetes, and Jenkins, while managing infrastructure, observability, and compliance from their Delhi office.
Associate Director, Data Science & AI Solutions
Lead AI and data-science projects for Merck’s R&D Quality Assurance, building and deploying ML models, RAG pipelines, and agentic systems while ensuring GxP compliance and translating technical concepts for business stakeholders.
Senior Technical Support Engineer
About Cyera Come join the company building the security operating model for the age of AI. AI has changed how data is used — and security must change with it. Cyera's mission is to empower businesses to accelerate A…
Solutions Architect, Real Money Gaming
Design and lead scalable data/AI architectures for real-money gaming customers, using Databricks’ lakehouse platform and ML/AI tooling to drive adoption and competitive wins.
Solutions Architect, Manufacturing & Automotive
Pre-sales Solutions Architect designing data/AI solutions for automotive and manufacturing firms using Databricks on AWS/Azure/GCP, building demos and prototypes to drive platform adoption.
Solutions Architect
Design and sell scalable data/AI architectures for fast-growing French startups, guiding them from exploration to production on Databricks’ platform.
Solutions Architect
Design and advise on big-data architectures for financial-services clients using Databricks’ Lakehouse Platform, Apache Spark, and ML tools.
Platform Engineer - Compute
Build and maintain Feedzai’s cloud platform, including Kubernetes operators, GitOps pipelines, and observability tooling to support real-time fraud detection services.
Senior DevOps Engineer- Posture
Build and maintain scalable DevOps infrastructure for AI-driven cybersecurity systems, using AWS, Kubernetes, Terraform, and GitOps to deploy and monitor AI models and agents in production.