1 to 25 of 45 Permanent GCP Jobs in Leeds

experience (nice to have) - Jira/Confluence or other project managemet tools. - MySQL/SQL Databases & ElasticSearch & Redis - Cloud computing (Azure/AWS/GCP) - Rabbit MQ - Linux - REST/GraphQL - Ansible - Prometheus/Grafana/Alertmanager - REST/GraphQL - Ansible - Prometheus/Grafana/Alertmanager What We Offer Hybrid More ❯

API services & understanding of API Gateways (e.g. APIGEE) Building applications utilising container technologies e.g. Docker Managing application deployed to Kubernetes clusters, Istio & Helm Cloud: GCP, GKE, IaC (Terraform) Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube It would be great if you also had Experience in More ❯

Defender for Cloud . Familiarity with cloud cost optimization (FinOps) and governance best practices. Experience in hybrid and multi-cloud strategies (Azure Arc, AWS, GCP integrations) is a plus. Strong problem-solving, communication, and leadership skills. More ❯

understanding of ORMs, database indexing, and query optimization. Experience with Celery, Redis, and task scheduling. Practical knowledge of Docker, Kubernetes, or cloud platforms (AWS, GCP, or Azure) is a plus. Familiarity with unit testing, debugging, and performance tuning. Proficient in version control systems (Git, GitHub/GitLab/Bitbucket). More ❯

Jenkins, Harness, Spinnaker, Gradle, Nexus, Maven, and Git. Expertise in source code management, branching, and deployment strategies. Strong knowledge of cloud platforms (AWS, Azure, GCP) and Infrastructure-as-Code tools. About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern More ❯

developing reliable and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Leadership: A track More ❯

and Version Control (e.g. Git) Excellent knowledge of databases such as SQL/NoSQL Experience with at least one Cloud Provider (AWS, Azure or GCP) Strong experience deploying and monitoring machine learning (MLOps), using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning Experience in relevant Data Manipulation, Machine More ❯

.NET, Docker, and MongoDB Experience with Angular and modern front-end practices Familiarity with CI/CD pipelines and cloud services (Azure, AWS, or GCP) Excellent communication and leadership skills If you're excited to lead by example and build modern, scalable solutions, we'd love to hear from you. More ❯

Actions, CircleCI etc) Skills we’d love to see/Amazing Extras: Solution development and delivery into at least one cloud platform (AWS, Azure, GCP) Knowledge of Database systems and models. Ability to use wide variety of open-source technologies. Experience with logging/monitoring tools (DataDog, StackDriver, Prometheus etc More ❯

end engineering developing reliable and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in deploying to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger More ❯

RESTful APIs and working with microservices architecture. Solid experience with databases such as PostgreSQL, MySQL, or MongoDB. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools like Docker. Excellent problem-solving skills and the ability to manage competing priorities effectively. Strong leadership and communication skills, with a passion More ❯

observability and performance optimisation Lead DevOps Engineer Requirements Proven technical and some leader/mentoring experience Cloud-native expertise (any cloud provider is fine: GCP, AWS or Azure) Knowledge of GitLab CI/CD, Terraform, Ansible Experience in Kubernetes, Docker, SRE and IaC principles Monitoring with Prometheus, Grafana etc Any More ❯

observability and performance optimisation Lead DevOps Engineer Requirements Proven technical and some leader/mentoring experience Cloud-native expertise (any cloud provider is fine: GCP, AWS or Azure) Knowledge of GitLab CI/CD, Terraform, Ansible Experience in Kubernetes, Docker, SRE and IaC principles Monitoring with Prometheus, Grafana etc Any More ❯

we’d love to see/Amazing Extras: Experience in data engineering/analytics using native technologies of least one cloud platform (AWS, Azure, GCP) Experience working with cloud platforms and in particular architecting with native cloud resources relevant to data problems Knowledge of data visualisation tools such as Tableau More ❯

practices. Promote automated product releases and push-button deployment. Advise program teams on DevOps adoption and toolchain. Experienced with large cloud deployments (AWS, Azure, GCP). Qualifications Bachelor's or equivalent. 5+ years designing CI/CD and DevOps solutions. 5+ years cloud experience. Proficient in version control (GitHub, GitLab More ❯

practices. Promote automated product releases and push-button deployment. Advise program teams on DevOps adoption and toolchain. Experienced with large cloud deployments (AWS, Azure, GCP). Qualifications Bachelor's or equivalent. 5+ years designing CI/CD and DevOps solutions. 5+ years cloud experience. Proficient in version control (GitHub, GitLab More ❯

FastAPI, Pydantic, Streamlit (for internal tools) AI: AgenticFlows, GenAI, LLMs, and multimodal systems Architecture: Microservices, RESTful APIs, async programming Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred) Datastores: MongoDB, Redis Monitoring/Tooling: Prometheus, Grafana, Sentry The role is remote with occasional travel Ready to lead and build with purpose? If More ❯

modern tech stack, playing a critical role in building and supporting scalable platform infrastructure with tools like Docker, Kubernetes, cloud platforms (AWS, Azure, or GCP background is welcome), Infrastructure as Code (Terraform, Pulumi, etc.), Prometheus, and Grafana . Key Skills & Responsibilities: Drive the technical vision and architectural direction within the More ❯

modern tech stack, playing a critical role in building and supporting scalable platform infrastructure with tools like Docker, Kubernetes, cloud platforms (AWS, Azure, or GCP background is welcome), Infrastructure as Code (Terraform, Pulumi, etc.), Prometheus, and Grafana . Key Skills & Responsibilities: Drive the technical vision and architectural direction within the More ❯

of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about: Evidence of modelling experience applied to industry relevant use cases. Familiarity with working in More ❯

and key partners. Demonstrated ability to lead global, cross-functional teams through major incidents, ensuring effective recovery and resolution. Direct experience with Azure and GCP environments. Familiarity with SRE principles, service resilience methodologies and recovery automation. Strong capability in influencing third-party CSPs and vendor partners for timely escalation and More ❯

need to do it? Expertise in data engineering/analytics/architecture/security using native technologies of least one cloud platform (AWS, Azure, GCP) Expertise in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB More ❯

Strong problem-solving skills and ability to work effectively in a fast-paced, collaborative environment. Experience with cloud platforms such as AWS, Azure, or GCP is a plus. Excellent communication skills and ability to work independently in a remote setting. Benefits: Competitive salary of £55,000 per annum. Fully remote More ❯

Typescript and Angular, and wider experience in different tools and frameworks and across the stack. Knowledge of AWS or another cloud product set (e.g. GCP or Azure) An enthusiasm for broadening your skillset and learning new technologies Commercial experience working with agile methodologies. Experience dealing with challenges from stakeholders on More ❯

authentic self throughout your application process. The must-haves Proficiency in writing and optimizing SQL queries within Google BigQuery, with a strong understanding of GCP tools and services for data management and analysis. Experience creating interactive dashboards and reports in Tableau, connecting to various data sources for insightful visualizations. Expertise More ❯