176 to 200 of 1,334 GCP Jobs

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 ❯

New Relic APM, logs, alerts, and dashboards. Strong understanding of API authentication and authorization (OAuth2, JWT, etc.). Knowledge of containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Excellent problem-solving, debugging, and performance optimization 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 ❯

CI, GitHub Actions, TeamCity) Experience with configuration management tools (e.g., Ansible, Terraform, Helm) Proficiency in scripting and automation (e.g., Bash, Python, PowerShell) Experience with cloud platforms (e.g., AWS, Azure, GCP) Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) Experience with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation More ❯

IaC) language (Ansible, Puppet, or Chef) Experience with GitHub, DevOps, Java, and Python. Experience with security reviews of applications and infrastructure Experience in Cloud based services (AWS, Azure, or GCP) US citizenship and an active TS/SCI with Polygraph security clearance required Desired Experience: Experience with infrastructure automation technologies like Docker and Vagrant Experience with build automation technologies like More ❯

cybersecurity architecture and operations • Network protocols, routing/switching, segmentation, and encryption • Identity and Access Management (IAM) solutions • Endpoint protection, threat detection, and incident response • Cloud security (Azure, AWS, GCP) and cloud-native platforms • Security monitoring and SIEM tools (Splunk, QRadar) • Network security solutions: Cisco, Palo Alto, Fortinet, Zscaler, Cloudflare, SD-WAN • Security automation tools (Terraform, Ansible, Python, PowerShell) Qualifications More ❯

cybersecurity architecture and operations • Network protocols, routing/switching, segmentation, and encryption • Identity and Access Management (IAM) solutions • Endpoint protection, threat detection, and incident response • Cloud security (Azure, AWS, GCP) and cloud-native platforms • Security monitoring and SIEM tools (Splunk, QRadar) • Network security solutions: Cisco, Palo Alto, Fortinet, Zscaler, Cloudflare, SD-WAN • Security automation tools (Terraform, Ansible, Python, PowerShell) Qualifications 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 ❯

Software Development Lifecycle) and Agile/DevOps practices. Experience with CI/CD pipelines (e.g., Jenkins, GitLab CI/CD, Azure DevOps). Knowledge of cloud environments (AWS, Azure, GCP) and Infrastructure as Code (IaC) tools like Terraform or Ansible. Version Control & Configuration Management: Proficiency with Git, GitHub, Bitbucket, or other version control systems. Understanding of release branching strategies (Git More ❯

TensorFlow, PyTorch) to design and implement solutions.Experience deploying AI/ML models to production systems in collaboration with engineering teams. Basic experience with cloud technologies (e.g., AWS, Azure, or GCP). Experience creating interactive visualizations and dashboards using tools such as Power BI or Tableau to communicate findings effectively.Strong interpersonal skills, with the ability to lead client projects and explain 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 ❯

s degree in machine learning, mathematics, or statistics * Understanding of probabilistic and Bayesian modelling * Knowledge of software design principles and object-oriented programming * Experience with cloud platforms (Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) What you'll get in return You'll join a fast-paced, agile team in a company that values innovation and collaboration. You More ❯

preprocessing, feature engineering, and model evaluation techniques.\Familiarity with data management and big data technologies (e.g., Spark, Hadoop, SQL, NoSQL databases). Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Strong analytical and problem-solving skills. Excellent communication and collaboration skills to articulate technical solutions to both technical and non-technical audiences. Understanding of More ❯

s degree in machine learning, mathematics, or statistics * Understanding of probabilistic and Bayesian modelling * Knowledge of software design principles and object-oriented programming * Experience with cloud platforms (Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) What you'll get in return You'll join a fast-paced, agile team in a company that values innovation and collaboration. You 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 ❯

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 ❯

automation frameworks (e.g., Selenium, Cypress, JUnit, TestNG, Playwright, or equivalent). Strong knowledge of software QA methodologies, tools, and processes. Experience testing applications in cloud environments (AWS, Azure, or GCP), containerized platforms (Docker, Kubernetes), and/or service mesh environments. Familiarity with CI/CD pipelines (e.g., Jenkins, GitLab, GitHub Actions) and integrating automated tests into the delivery process. Competency 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 ❯

deployment and scaling. Administer and optimize Git-based version control systems (GitLab, GitHub) to ensure streamlined CI/CD processes. Architect and deploy applications on AWS, Azure, or Google Cloud Platform environments. Collaborate with cross-functional teams to inform strategy, set standards, and implement best practices for containerization and orchestration. Troubleshoot and resolve issues in cloud and containerized environments to More ❯