901 to 925 of 2,102 Permanent GCP Jobs

operating Red Hat OpenShift in enterprise environments Solid Kubernetes expertise, including networking, storage, and ingress Experience running OpenShift on cloud platforms (AWS, Azure, or GCP) and on-prem Strong Linux and Red Hat ecosystem experience Experience working within the NHS or UK central government is essential Understanding of public sector ...

apps) React Native (mobile apps) with Expo Node.js Backend & Cloud: AWS (Lambda, DynamoDB, ECS, S3, API Gateway) Azure AD (authentication and identity management) Google Cloud Platform & Firebase (used selectively for mobile features) GitHub/GitHub Actions for CI/CD Strong hands-on web application development using React is essential ...

platform What we're looking for Experience delivering greenfield or early-stage products Strong skills in JavaScript/TypeScript, Python, or similar Cloud experience (GCP preferred), including serverless development Solid SQL and data warehouse experience (e.g. BigQuery) Experience with automation and modern front-end frameworks (e.g. React) Exposure ...

platform What we're looking for Experience delivering greenfield or early-stage products Strong skills in JavaScript/TypeScript, Python, or similar Cloud experience (GCP preferred), including serverless development Solid SQL and data warehouse experience (e.g. BigQuery) Experience with automation and modern front-end frameworks (e.g. React) Exposure ...

platform What we're looking for Experience delivering greenfield or early-stage products Strong skills in JavaScript/TypeScript, Python, or similar Cloud experience (GCP preferred), including serverless development Solid SQL and data warehouse experience (e.g. BigQuery) Experience with automation and modern front-end frameworks (e.g. React) Exposure ...

public APIs You have a strong appreciation of SaaS, Kubernetes, Infrastructure as Code, GitOps, CI/CD practices and Cloud infrastructure (they use GCP but AWS experience is also fine) You have some experience with front end work using React (or similar) You're comfortable in a fast paced, sometimes ...

public APIs You have a strong appreciation of SaaS, Kubernetes, Infrastructure as Code, GitOps, CI/CD practices and Cloud infrastructure (they use GCP but AWS experience is also fine) You have some experience with front end work using React (or similar) You're comfortable in a fast paced, sometimes ...

products and platforms working in alignment with our AI development teams Technical Environment: * Cloud Platforms: Multi-cloud environment (Microsoft Azure, AWS and GCP) * Languages: C#, Go, JavaScript * Development Practices: AI and Agile methodologies, CI/CD, Infrastructure as Code * Quality Assurance: Mix of in-house and outsourced QA resources * Operations ...

practices: microservices, APIs, event-driven systems, ML development, DevOps, and cloud-native design. Familiarity in at least one major cloud platform (AWS, Azure, or GCP). Ability to translate technology into business value and articulate ROI and TCO impacts. Excellent communication, storytelling, and presentation skills Confident engaging with senior stakeholders ...

principles Strong understanding of Back End technologies and best practices Passion for writing clean, well-tested code Experience with cloud platforms (AWS, Azure, or GCP) Excellent communication skills and the ability to explain technical ideas clearly A mindset focused on scalability, maintainability, and continuous learning Must be proficient in Node ...

model versioning, monitoring and retraining pipelines. Work with streaming technologies such as Kafka. Proficient in Python, SQL, PySpark, CI/CD, and Cloud (GCP/AWS/Azure). Excellent communication skills with both technical and business stakeholders. If this sounds like the right opportunity for you, please apply with ...

RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: Worked with real-time data collection ...

RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: Worked with real-time data collection ...

APIs, and modern frontend frameworks. Working knowledge of containerisation and orchestration technologies, including Docker, Kubernetes, and Terraform . Experience working with cloud platforms, ideally GCP . Familiarity with compatibility and accessibility testing tools (e.g. LambdaTest, Axe). ISTQB Foundation Certificate in Software Testing (or equivalent). Desirable ISTQB Advanced Test ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts ...

React Understanding of payment systems and financial services architecture Preferred Qualifications Experience with PayEdge or similar payment platforms Cloud experience ( AWS/Azure/GCP ) Knowledge of Reactive programming (WebFlux) Experience with Spring Security Exposure to event streaming, saga patterns, and distributed systems Soft Skills Strong problem-solving and analytical ...