176 to 200 of 1,311 Permanent Google-Cloud-Platform Jobs

Key Skills: Enterprise Architecture Frameworks & Standards AWS 4-6 Years Oracle OCI 1-2 Years Azure & GCP 1-2 Years Hybrid On-Prem/Knowledge 4-6 Years Cloud Networking 4-6 Years Cloud DevOps 4-6 Years Cloud Security 2-3 Years Cloud FinOps 1-2 Years Microsoft Visio 2-3 Years Deep Understanding of More ❯

up, come rain or snow What You Bring Essential Skills Cloud architecture: Well used to best practices around, using, managing and operating a cloud infrastructure on AWS, GCP or Azure Automation skills: Solving classes of problems rather than individual tickets. Able to automate tasks using shell scripts and/or Python/Ruby/Golang and ensuring we More ❯

practices and CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) • Strong Linux administration skills (Red Hat/Ubuntu or equivalent) Desired Qualifications: • Experience with AWS, Azure, or GCP cloud environments • Knowledge of Infrastructure as Code (Terraform, Helm, CloudFormation) • Familiarity with observability tools (Prometheus, Grafana) Benefits: Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company More ❯

a strict hiring requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries In-depth understanding of public cloud platforms and deployment best practices Strong knowledge of network protocols (TCP/IP) and More ❯

a strict hiring requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries In-depth understanding of public cloud platforms and deployment best practices Strong knowledge of network protocols (TCP/IP) and More ❯

a strict hiring requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries In-depth understanding of public cloud platforms and deployment best practices Strong knowledge of network protocols (TCP/IP) and More ❯

or data platform engineering. Experience in a recent technical lead or architect-level role. Proven delivery of large-scale data systems using cloud platforms (AWS, Azure, or GCP). Deep knowledge of MLOps practices (MLflow, Docker, Kubernetes, etc.). Demonstrated experience in building Data-as-a-Service (DaaS) solutions or data APIs. Strong stakeholder engagement and mentoring skills. More ❯

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 More ❯

microservices We're looking for candidates who have: Experience in designing and implementing cloud-native microservices-based distributed systems in a major cloud provider like AWS or GCP You have a bias to ship and iterate alongside product management and design partners Experience with object-oriented programming languages. We mostly use Java but appreciate a variety of languages More ❯

scale DevOps pipelines and cloud infrastructure. Deep expertise in the Azure cloud platform and preferably working experience of an additional cloud platform (AWS or GCP). Expert-level knowledge of Bicep Infrastructure as Code (IaC) tooling. Proven experience with CI/CD tools and methodologies within Azure DevOps. Strong command of scripting languages (e.g., Python More ❯

stakeholders. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. AWS Solutions Architect certification or equivalent. Experience with additional cloud providers (e.g., Azure, GCP). Familiarity with CI/CD pipelines and DevOps culture. Background in technical documentation or architecture diagramming.The base salary range for this position is £140,000 - £210,000 base + More ❯

developing Java backend services utilizing Spring Boot, Micronaut, and related ecosystems. Leading RESTful API development, service layers, and system integrations. Experience with cloud deployments on AWS, Azure, or GCP, including S3, EC2, and managed databases. Proficiency in SQL and NoSQL databases such as PostgreSQL, MongoDB, and Elasticsearch. Guiding CI/CD processes, managing build tooling with Maven or Gradle. More ❯

Must possess an active TS/SCI clearance (can hold up to TS/SCI FSP) • Strong programming skills in Python • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) • Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse More ❯

scale DevOps pipelines and cloud infrastructure. Deep expertise in the Azure cloud platform and preferably working experience of an additional cloud platform (AWS or GCP). Expert-level knowledge of Bicep Infrastructure as Code (IaC) tooling. Proven experience with CI/CD tools and methodologies within Azure DevOps. Strong command of scripting languages (e.g., Python More ❯

data engineering skills (Pandas, PySpark, Dask) Proficiency with databases (SQL/NoSQL), ETL processes, and modern data frameworks (Apache Spark, Airflow, Kafka) Solid experience with cloud platforms (AWS, GCP, or Azure) and CI/CD for data pipelines Understanding of data privacy and healthcare compliance (GDPR, HIPAA, ISO 62304) Strong software engineering practices: Git, testing, reproducibility, documentation Experience deploying More ❯

equivalent practical experience Desired Skills Exposure to bare metal provisioning tools (Ironic, MaaS) Hands on use of observability platforms (Grafana, Prometheus, Splunk) Familiarity with public cloud services (AWS, GCP, Azure) Basic understanding of data center networking and security frameworks (NIST, STIGs) OpenStack certification (e.g., Certified OpenStack Administrator) Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and More ❯

ways of data engineering across the organisation. Obtain a wide and varied understanding of how our internal teams and client banks operate. Work with cloud-based infrastructure (AWS, GCP) for hosting data solutions and applications. Collaborate with clients, solution architects and other engineers to help meet the client goals. Proven experience in development and maintenance of a cloud More ❯

Comfortable working with modern development tools, CI/CD pipelines, and version control. Exposure to at least one of the following would be beneficial: Cloud-based infrastructure (AWS, GCP, or Azure) Infrastructure-as-Code tools (e.g. Pulumi, Terraform, or similar) Mobile app development (React Native, Flutter, etc.) Video streaming or real-time data processing What's on Offer Equity More ❯

control software Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular Experience deploying software to least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure) Understanding of SQL and NoSQL databases Proficiency in data structure and algorithm design and implementation Proficiency in time-series data analysis, cleansing, and normalization Working knowledge of Agile More ❯

Agile environment Experience mentoring more junior colleagues and contributing to building high-performing teams DESIRED: Knowledge about native mobile app development Using MacOS as a build environment Google Cloud Platform administration including Firebase Python CI/CD using GitHub Actions Before your start date, you may need to disclose any unspent convictions or police charges, in line More ❯

PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. What More ❯

10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI More ❯

10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI More ❯

10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI More ❯

10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI More ❯