1 to 25 of 751 GCP Jobs in the UK excluding London

had any of the following Infrastructure as Code & Cloud Engineering - Hands-on experience with tools like Terraform, Chef, Puppet, and Ansible, combined with exposure to cloud platforms such as GCP, AWS, Azure, or ICP/OCP. CI/CD & Deployment Automation - Skilled in building and managing CI/CD pipelines, with experience in day-to-day deployment and release activities More ❯

s industry-leading cloud solutions. Reporting directly to our VP of Engineering, in this role, you will be responsible and accountable for the security, reliability, and scalability of our GCP infrastructure. This is a highly strategic role where you will be directly responsible for continued success of the entire Aforza product suite. As such, the ideal candidate must be hands … up environments, where every employee has a direct impact on the company's success. All of Aforza's cloud applications, microservice and websites are hosted on Google Cloud Platform (GCP) running on Google Kubernetes Engine. We use TypeScript across the board in both frontend and backend. Here's a high-level overview of the different areas of our stack: Frontend … TypeScript, React, Redux, Styled Components We make use of the following GCP products: Google Kubernetes Engine (with Istio service mesh) Cloud Memorystore for Redis BigQuery Datastream Firestore What You'll Do Maintain, monitor, and secure our GCP infrastructure. Manage the deployment and upgrades of core technologies. Implement new platform centric features such as SSO. Help architect new products with your More ❯

solutions. Domain experience in Recruitment Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability More ❯

solutions. Domain experience in Recruitment Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability More ❯

had any of the following Infrastructure as Code & Cloud Engineering - Hands-on experience with tools like Terraform, Chef, Puppet, and Ansible, combined with exposure to cloud platforms such as GCP, AWS, Azure, or ICP/OCP. CI/CD & Deployment Automation - Skilled in building and managing CI/CD pipelines, with experience in day-to-day deployment and release activities More ❯

bottlenecks, scalability challenges, and other technical issues. Agile Development: Experience working in Agile environments with tools like Jira and Confluence. Preferred Qualifications Familiarity with cloud platforms (AWS, Azure, or GCP) and serverless architecture. Knowledge of CI/CD pipelines and DevOps practices. Experience with message queues and streaming platforms (e.g., Kafka, AmazonMQ). Strong understanding of data modelling and API More ❯

You'll need: Strong backend development experience in Java and ideally another OOP language. Experience with containerization (Docker), orchestration (Kubernetes), and service mesh (Istio). Familiarity with cloud platforms (GCP preferred) and IaC tools (Terraform). Proficiency in CI/CD tools and DevOps principles. Experience with TDD using JUnit and knowledge of secure coding practices. Any experience with the More ❯

processes and enterprise software implementation. • Strong problem-solving skills and attention to detail. • Excellent communication and documentation skills. Preferred Skills: 1. Experience working with cloud platforms (AWS, Azure, or GCP). 2. Exposure to CI/CD, Git, and containerization (Docker/Kubernetes). 3. Background in enterprise pricing, CPQ, or revenue management platforms. 4. Experience in Agile/Scrum More ❯

principles and patterns (e.g., microservices, event-driven), with experience in system design and modelling (e.g., UML, C4). Cloud Platforms : Hands-on experience with AWS (and/or Azure, GCP), focusing on scalability, resilience, and cost efficiency DevOps & CI/CD : Familiar with tools like GitHub, Terraform, Docker, Kubernetes, and automated testing and monitoring. Data & Integration : Skilled in data modelling More ❯

test automation tools such as Apache JMeter, mabl, Testim.io, Testsigma, Selenium, Gatling, LoadRunner, Searchlight Knowledge of Apache Kafka, Kubernetes, Docker, GraphQL Experience with cloud platforms like Azure, AWS, or GCP, and data processing Familiarity with CI/CD pipelines and DevOps tooling GitHub proficiency Strong organizational, analytical, problem-solving, and communication skills Comfort working with remote teams and distributed delivery More ❯

and ReactJS (TypeScript). Implement modern software engineering best practices, including microservices, automated testing, and CI/CD pipelines. Work with cloud platforms such as AWS (preferred), Azure, or GCP for application deployment and scaling. Develop and maintain RESTful APIs and integrate third-party services. Utilise containerisation tools (Docker, Kubernetes) and infrastructure-as-code solutions. Collaborate with cross-functional teams More ❯

had any of the following Infrastructure as Code & Cloud Engineering - Hands-on experience with tools like Terraform, Chef, Puppet, and Ansible, combined with exposure to cloud platforms such as GCP, AWS, Azure, or ICP/OCP. CI/CD & Deployment Automation - Skilled in building and managing CI/CD pipelines, with experience in day-to-day deployment and release activities More ❯

work with databases (SQL and/or NoSQL) and data modelling Collaborative approach to leading, mentoring, and working in Agile teams Desirable Working knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes) Exposure to/hands-on skills with systems that use ML/Artificial Intelligence Familiar with messaging technologies, Entity Framework, and/or data analytics/ More ❯

work with databases (SQL and/or NoSQL) and data modelling Collaborative approach to leading, mentoring, and working in Agile teams Desirable Working knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes) Exposure to/hands-on skills with systems that use ML/Artificial Intelligence Familiar with messaging technologies, Entity Framework, and/or data analytics/ More ❯

effectively execute projects in a matrix environment. Desired Experience: Previous consulting experience and/or Project Management experience is a plus. Cloud and Infrastructure technologies such as AWS, Azure, GCP, Docker, Kubernetes etc. Ideal candidates will have 2+ years of Dynatrace Technology experience Dynatrace Product Certification. Why you will love being a Dynatracer Dynatrace is a leader in unified observability More ❯

various programming languages (e.g., Java, Python, Go, C++) and development frameworks relevant to telecommunications. Solid understanding of database technologies (SQL and NoSQL). Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies. Demonstrated ability to lead and motivate a team in an agile development environment. Great-to-haves Strong domain expertise within the telecommunications industry is highly desired, including More ❯

algorithms Exposure to automotive testing and simulation frameworks (e.g. Applied Intuition, Carla, etc.) Extensive experience with a variety of CI/CD tools and technologies (e.g., Git, Gitlab, Jenkins, GCP, AWS) Knowledge of containerisation and microservice architecture Ability to develop dashboard UIs for publishing performance (e.g., Grafana, Apache Superset, etc.) Exposure to safety certification standards and processes We provide: Competitive More ❯

development Enterprise Integration especially web services Experience working in an Agile environment Experience with Linux system architecture/administration and supporting network architecture Experience working in cloud infrastructure (AWS, GCP, or Azure) Knowledge of or experience with: OpenLayers, PostGIS, Pyramid, Shapely, Turf, and SQLAlchemy Education Bachelor's degree from an accredited university in Computer Science, Engineering, or a related field More ❯

Redis, Memcached) Experience with streaming technologies like Apache Kafka or Amazon Kinesis Familiarity with Terraform, Docker, and Kubernetes Proficiency in at least one major cloud platform (AWS, Azure, or GCP) Exposure to performance tuning and testing of distributed systems Experience working on diverse teams and mentoring junior engineers Education Bachelor's degree in Computer Science, Engineering, Information Systems, or related More ❯

in particular, the classic Python Data Science stack (NumPy, pandas, PyTorch, scikit-learn, etc) is required; Familiarity with PySpark is also desirable. A cloud platform experience (e.g Azure, AWS, GCP), were using Azure in the team. Good SQL understanding in practice Capacity and enthusiasm for coaching and mentoring less experienced data scientists, including code reviews, training sessions Must have excellent More ❯

in particular, the classic Python Data Science stack (NumPy, pandas, PyTorch, scikit-learn, etc) is required; Familiarity with PySpark is also desirable. A cloud platform experience (e.g Azure, AWS, GCP), were using Azure in the team. Good SQL understanding in practice Capacity and enthusiasm for coaching and mentoring less experienced data scientists, including code reviews, training sessions Must have excellent More ❯

in particular, the classic Python Data Science stack (NumPy, pandas, PyTorch, scikit-learn, etc) is required; Familiarity with PySpark is also desirable. A cloud platform experience (e.g Azure, AWS, GCP), were using Azure in the team. Good SQL understanding in practice Capacity and enthusiasm for coaching and mentoring less experienced data scientists, including code reviews, training sessions Must have excellent More ❯

Redis, Memcached) Experience with streaming technologies like Apache Kafka or Amazon Kinesis Familiarity with Terraform, Docker, and Kubernetes Proficiency in at least one major cloud platform (AWS, Azure, or GCP) Exposure to performance tuning and testing of distributed systems Experience working on diverse teams and mentoring junior engineers Education Bachelor's degree in Computer Science, Engineering, Information Systems, or related More ❯

communication and teamwork skills Bonus Points For Experience in payments, financial services, or fraud detection Familiarity with Big Data tools (Hadoop, Spark, Kafka) Exposure to cloud-native architecture (AWS, GCP, Azure) Understanding of TDD/BDD and modern testing frameworks What's On Offer Hybrid Working - Flexibility with 2 remote days per week Global Impact - Work on systems powering the More ❯

standards. What you'll need Proven experience in software engineering, data engineering, or solutions architecture Java and JSPs Spring Boot Microservices, REST APIs Containerisation (Docker, Kubernetes, Helm) Cloud platforms (GCP preferred; Azure, AWS also valued) Git Atlassian tools e.g. JIRA, Confluence Agile development and CI/CD pipelines Strong leadership and mentoring skills Excellent communication and stakeholder engagement And any More ❯