76 to 100 of 764 Remote GCP Jobs

. Solid experience with SQL and working with large datasets. Familiarity with Git, CI/CD workflows, and Docker. Hands-on experience with at least one cloud platform (AWS, GCP, or Azure). Strong understanding of financial data structures – including trades, positions, executions, and market data. Preferred (Bonus) Qualifications Experience in financial markets, particularly in brokerage, trading desks, or hedge More ❯

frameworks such as PyTorch, TensorFlow, or Scikit-learn. Knowledge of probability, statistics, and common ML techniques. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency with containers, Docker, and Kubernetes. Strong communication skills with the ability to work across technical and non-technical teams. Comfortable working in a high-growth, fast-paced environment. More ❯

frameworks such as PyTorch, TensorFlow, or Scikit-learn. Knowledge of probability, statistics, and common ML techniques. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency with containers, Docker, and Kubernetes. Strong communication skills with the ability to work across technical and non-technical teams. Comfortable working in a high-growth, fast-paced environment. More ❯

frameworks such as PyTorch, TensorFlow, or Scikit-learn. Knowledge of probability, statistics, and common ML techniques. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency with containers, Docker, and Kubernetes. Strong communication skills with the ability to work across technical and non-technical teams. Comfortable working in a high-growth, fast-paced environment. More ❯

frameworks such as PyTorch, TensorFlow, or Scikit-learn. Knowledge of probability, statistics, and common ML techniques. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency with containers, Docker, and Kubernetes. Strong communication skills with the ability to work across technical and non-technical teams. Comfortable working in a high-growth, fast-paced environment. More ❯

frameworks such as PyTorch, TensorFlow, or Scikit-learn. Knowledge of probability, statistics, and common ML techniques. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency with containers, Docker, and Kubernetes. Strong communication skills with the ability to work across technical and non-technical teams. Comfortable working in a high-growth, fast-paced environment. More ❯

frameworks such as PyTorch, TensorFlow, or Scikit-learn. Knowledge of probability, statistics, and common ML techniques. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency with containers, Docker, and Kubernetes. Strong communication skills with the ability to work across technical and non-technical teams. Comfortable working in a high-growth, fast-paced environment. More ❯

For * Proven experience designing and managing cloud infrastructure at scale. * Strong knowledge of container orchestration and infrastructure-as-code. * Solid understanding of cloud networking and architecture (AWS, Azure, or GCP). * Experience with CI/CD systems and automated deployment workflows. * Familiarity with observability and performance monitoring tools. * Experience with data pipelines and workflow orchestration. * Excellent communication and documentation skills. More ❯

disc bonus + flexi working (option of remote or hybrid + ad hic client site travel). Must have requirements; Lead solution architecture design across cloud platforms (AWS, Azure, GCP). Define and own end-to-end solution designs, ensuring alignment with business objectives, technical strategy, and GDS service standards. Collaborate with Product Managers, Delivery Managers, Developers, and Security teams More ❯

a list of some of the typical technologies we use: CI/CD (Jenkins, Argo, Flux) Cloud Native deployment (Helm/Kustomize) Cloud/Cloud Native platforms (Azure, AWS, GCP, OpenShift) Infrastructure-as-Code (Terraform, Ansible, Crossplane) Container orchestration, networking, and automation (Kubernetes, Docker) Scripting (Bash, Powershell, Python) Programming languages (Golang, Java, Ruby, Python) Vulnerability remediation and mitigation tools (BlackDuck More ❯

a list of some of the typical technologies we use: CI/CD (Jenkins, Argo, Flux) Cloud Native deployment (Helm/Kustomize) Cloud/Cloud Native platforms (Azure, AWS, GCP, OpenShift) Infrastructure-as-Code (Terraform, Ansible, Crossplane) Container orchestration, networking, and automation (Kubernetes, Docker) Scripting (Bash, Powershell, Python) Programming languages (Golang, Java, Ruby, Python) Vulnerability remediation and mitigation tools (BlackDuck More ❯

skills in Node.js Solid understanding of RESTful APIs, microservices, and event-driven architecture. Hands-on experience with relational and/or NoSQL databases. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Knowledge of software design principles, testing methodologies, and version control (Git). We are an equal opportunities employer and welcome applications from all suitably qualified More ❯

structures, problem-solving, and complexity analysis. 5+ years of industry experience. Experience leading a team/large scale projects. Experience working with JavaScript, React, NodeJS, Python, Firebase, Express, AWS, GCP, OpenAI, and CircleCI. Familiarity with NoSQL databases. Experience working with AI and LLMs. Why Join Us? Innovative Environment: Be part of a team that is pushing the boundaries of market More ❯

experience of these would be really useful Scripting or Automation - Basic knowledge of Bash or Python to automate routine tasks Cloud support knowledge - Understanding of cloud environments like OCP, GCP, Azure, AWS as well as Private Cloud solutions Soft skills & Emotional Intelligence - Staying clam under pressure and effectively handling stressful situations whilst continuing to communicate effectively Observability - Familiarity with monitoring More ❯

on experience with modern observability tools such as Grafana, Prometheus, or CloudWatch to implement and manage monitoring solutions. Hands-on experience with core AWS, or other cloud providers like GCP or Azure, to architect scalable and resilient infrastructure. Extensive experience with automated testing frameworks and CI/CD pipelines to ensure quality and efficiency in software delivery. DESIRED: In-depth More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £40,000 – £45,000 plus More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £40,000 – £45,000 plus More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £40,000 – £45,000 plus More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £40,000 – £45,000 plus More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £40,000 – £45,000 plus More ❯

Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer A collaborative and innovative work environment with awesome career growth opportunities 34 days More ❯

building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus More ❯

or early experience in Agentic AI systems. Full-stack development: front-end (React, Angular, Vue, etc.), back-end (Node.js). Experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). Familiarity with Cisco technologies (Splunk a plus). Experience with startups, research institutions, or academia. Why Join Us? Work on projects with global reach and transformative potential. Accelerate your More ❯

new solutions. Propose and review Engineering Request for Comments (RFC) to drive Engineering architecture and practices. Technology Stack at Zefr: Core Infrastructure & Cloud Platforms: Cloud Providers: Google Cloud Platform (GCP), Amazon Web Services (AWS) Infrastructure as Code (IaC): Terraform Containerization & Orchestration: Docker, Kubernetes (experience with GKE and/or EKS expected), Helm, Kustomize Service Mesh: Istio CI/CD & Automation … Experiment Tracking: Weights and Biases, DVC Libraries/Frameworks: Transformers, HuggingFace Model Optimization/Formats: Onnx, TensorRT Data Stores & Databases: Relational Databases: PostgreSQL (including managed versions like AWS Aurora, GCP Cloud SQL) NoSQL Databases: DynamoDB Search Databases: OpenSearch, Elasticsearch Vector Databases: Qdrant Caching: Redis Data Warehousing: Snowflake What we're looking for: 4+ year job history designing, managing, deploying, and … supporting Cloud Infrastructure in a production environment using major public cloud providers. (One of GCP or AWS required) Production experience designing, managing, deploying, and maintaining container based workloads into Kubernetes clusters Knowledge of GitOps including an understanding of modern CI/CD pipelines, techniques and technologies (Github Actions, GitLab, CircleCI, Argo CD, Flux) Knowledge of IaC and configuration management tools More ❯

these areas, unfortunately your application will not be considered. What you'll be doing Our backend stack is mainly Node.js, Express, MongoDB and Redis. We are hosted on Google Cloud Platform, mainly in Google Kubernetes Engine. Our frontend stack is React with TypeScript. And we're in large part open source. We deploy 2-6 times daily, supported by a More ❯