2,401 to 2,425 of 4,748 GCP Jobs

confidently command a room of engineers and just as easily simplify complex concepts for senior decision‐makers Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts A "hacker mindset" with a strong engineering foundation: you are a creative problem‐solver who builds robust, scalable … integrations, and custom tooling; experience with REST APIs and SDKs is strongly preferred Hands‐on experience with at least one major cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows Solid understanding of machine learning concepts and the ML development lifecycle — from ...

Join JPMorganChase, where your engineering expertise powers decisions that matter on a global scale. As part of Markets Technology, you'll work alongside some of the brightest minds in the industry, building resilient, high-impact ...

executive level.Strong command of common security/compliance frameworks and how to apply them strategically.Deep working knowledge of public cloud platforms (AWS, Azure, GCP, OCI).Executive-level communication and presentation skills, with the ability to influence C-level and senior technical audiences.Demonstrated self-direction, sound judgment, and the ability ...

level.* Strong command of common security/compliance frameworks and how to apply them strategically.* Deep working knowledge of public cloud platforms (AWS, Azure, GCP, OCI).* Executive-level communication and presentation skills, with the ability to influence C-level and senior technical audiences.* Demonstrated self-direction, sound judgment ...

multi-agent systems or LLM-based products, ideally at meaningful scale Hands-on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red-teaming processes and quality measurement for AI systems A portfolio or track record that … Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version-controlled prompts, automated testing, deployment pipelines EU AI Act compliance, bias auditing ...

multi-agent systems or LLM-based products at enterprise scale Deep hands-on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red-teaming processes and quality measurement for AI systems A portfolio or track record that … Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version-controlled prompts, automated testing, deployment pipelines EU AI Act compliance, bias auditing ...

multi-agent systems or LLM-based products, ideally at meaningful scale Hands-on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red-teaming processes and quality measurement for AI systems A portfolio or track record that … Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version-controlled prompts, automated testing, deployment pipelines EU AI Act compliance, bias auditing ...

Spark optimization. Programming Languages: Advanced proficiency in Python/PySpark and SQL. Cloud & Infrastructure: Strong background in cloud data platforms (Azure, AWS, or GCP) and cloud-native architectures. Engineering Best Practices: Experience with CI/CD pipelines, version control (Git), and infrastructure-as-code. Leadership: Demonstrated experience leading engineering teams ...

areas:Infrastructure fundamentals (e.g., Datacenter, Networks, Compute, Storage)Cloud and Infrastructure Migrations, Operations and Lifecycle managementCloud services (e.g., Amazon Web Services, Microsoft Azure, Google Cloud Platform)Cloud and Infrastructure Security & Resilience (DR, HA, Backup & Recovery)Virtualization Platforms (e.g., VMware, Hyper-V, Nutanix)Container Platforms (e.g., Openshift, EKS, AKS, GKS)Infrastructure ...

turn customer problems into working products Drive direct impact in a fast-moving, high-ownership, cross-functional team Key Technologies Cloud Platforms: Google Cloud Platform Programming Languages: Python, JavaScript, and TypeScript Frameworks: FastAPI, Vue.js Container-based and Serverless architectures Databases: Postgres SQL DevOps and Monitoring: GitHub Actions, Kubernetes, DataDog ...

coding is a required interview stage Hands‐on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity ...

coding is a required interview stage Hands‐on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity ...

live coding is a required interview stageHands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with ...

live coding is a required interview stageHands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with ...

London: the backend services, cloud platforms and data infrastructure that make our products work. That stack runs across cloud platforms such as AWS, GCP, Azure, and various other global hyperscalers. You'll be the engineer who defines how we secure the stack. Standards, tooling, strategies, tactics, architecture: you set them … posture of ongoing production.Deep threat modelling expertise. You can define the methodology for a company, not just follow one.Hands-on cloud security across AWS, GCP, Azure, and other global hyperscalers. You've secured backend services at real scale and depth of complexity.Command of the secure SDLC: SAST, DAST, SBOM ...

design (OpenAPI/Swagger/Postman), system design, and database tools (SQL/Python basics). AI & Cloud: Exposure to cloud infrastructure (GCP/Azure/AWS) and AI/LLM integrations. Agile & Delivery: Strong experience in Scrum/Kanban, writing technical specifications, and managing delivery cadences. Domain: Experience ...

multi‐agent systems or LLM‐based products, ideally at meaningful scale Hands‐on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red‐team­ing processes and quality measurement for AI systems A portfolio or track record that … Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version‐controlled prompts, automated testing, deployment pipelines EU AI Act compliance, bias auditing ...

organisations Strong understanding of GDS Service Standards, Government Technology Code of Practice (TCoP) and DDaT frameworks Experience designing cloud-based solutions AWS, Azure or GCP including hybrid and multi-cloud architectures Solid understanding of API-first design, microservices architecture and modern integration patterns Ability to produce high-quality architecture documentation … Experience supporting or leading GDS service assessments Relevant certifications AWS Solutions Architect, Azure Solutions Architect, TOGAF or equivalent Technical Skills Cloud Platforms: AWS, Azure, GCP Architecture Frameworks: TOGAF, ArchiMate, C4 Model Integration: REST APIs, event-driven architecture, message queuing, microservices Security: NCSC guidelines, secure-by-design, identity and access management ...

that will increasingly power AI and machine-learning use cases across the firm. The current data landscape reflects IG’s growth: a combination of GCP-native capabilities, on-premises systems, and a legacy AWS data platform. The strategic direction — endorsed by the CDO and Executive — is clear: consolidate onto GCP … enable self-service access to trusted data for teams across the business. What you’ll do Own the technical architecture of IG’s GCP data platform end-to-end — Core Lake (BigQuery), batch and real-time (Kafka) ingestion, transformation in the Medallion architecture, and Data-Engineering-owned integration services — setting ...

This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the job you are considering ...

Job Description Join JPMorganChase, where your engineering expertise powers decisions that matter on a global scale. As part of Markets Technology, you'll work alongside some of the brightest minds in the industry, building resilient ...

organizations to drive customer outcomes in marketing and customer data initiatives. Hands‐on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud‐native data ingestion, activation, and governance. Undergraduate degree (or higher) in a technical field such as Computer Science, Data Science ...

solving new problems Nice to Have Experience with LLMs, prompt engineering or agent frameworks RAG, vector databases or knowledge graphs Cloud (AWS, Azure or GCP) and containerisation Data pipelines or ETL work Experience in regulated environments Why It's Worth a Look Proper ownership - you're shaping solutions, not just ...

consulting organizations to drive customer outcomes in marketing and customer data initiatives.Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native data ingestion, activation, and governance.Undergraduate degree (or higher) in a technical field such as Computer Science, Data Science, Applied ...

Experience in fintech, financial services or other regulated environments Familiarity with RAG pipelines, embeddings, prompt engineering or agentic frameworks Cloud platform experience (AWS/GCP/Azure), CI/CD, infrastructure-as-code Open-source contributions or a portfolio of side projects - especially AI-related Startup or scale-up experience ...