101 to 125 of 641 Permanent GCP Jobs in England

best SDLC practices (development, testing, applications, monitoring).Strong understanding of Java and relevant application frameworks (e.g. Spring Boot).Experience of cloud platforms (e.g. AWS, GCP) both in utilising services and how cloud infrastructure works.Experience with containerisation technology and orchestration platforms e.g. Docker, Kubernetes.Knowledge of architectural concepts such as microservices, service more »

innovative designs and technologies in the future. Key technologies: Java Sprint Boot Database (e.g. MySQL, SQLServer, NoSQL) Cloud experience (e.g. Azure/AWS/GCP) Docker/Kubernetes Experience working within Financial Services/Banking/Credit or Payment card Desirable: React Native/Mobile Apps React The Benefits: Employer more »

the world’s leading financial organisations. The company is working with numerous aspects of pioneering technologies including cloud engineering (partnerships with AWS, Azure and GCP), AI, Machine Learning and blockchain. This is an exciting opportunity whereby you will have the opportunity to successfully deliver a number of neo banks. As more »

stakeholders to design and develop solutions from the ground up! What you'll be doing: You'll be working in a cloud-first Google Cloud Platform environment. Working heavily with Javascript, Typescript, and React. Leveraging Python for back-end development. You'll also pick up some Java along the way. more »

Database Knowledge of Containerization & experience in Docker Knowledge of Microservices & Even Driven Architecture , particularly Pub-Sub Experience with Kubernetes & Cloud Platform like Azure or GCP Strong proficiency in DevOps including CI/CD Experience in Code Quality & Unit Testing If you are interested in this opportunity, please apply now with more »

or event-based systems Proficient with at least one modern languages such as Python, Java, C# , modern C++ Cloud Integration and IoT Devices with GCP, Azure, or AWS Ability to apply appropriate software design methodology and architecture for the specific needs of cloud-native versus desktop application and on-prem more »

models in production environments. Strong proficiency in programming languages such as Python, Java, or Scala. Extensive experience with cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Solid understanding of machine learning concepts, algorithms, and frameworks. Preferred Qualifications: Experience in the insurtech or insurance industry. more »

key technologies.Role RequirementsMinimum Criteria· Extensive Kubernetes experience, including production support.· Understanding and practical implementation of both CI and CD.· Extensive cloud automation experience [AWS, GCP or Azure].· Extensive experience with Linux based systems.· Ability to develop in one or more languages.· Previous use of git for source control.· Willing more »

Javascript, etc. The ability to work with non technical stakeholders and translate their problems into technical solutions. Knowledge of cloud platforms such as AWS, GCP, Azure, etc. Demonstrable experience of integrating complex systems - including APIs, Databases (both SQL and NoSQL), asynchronous & event-driven systems. Capable of developing automated test suites more »

Python, SQL, Snowflake and DBT.In-depth understanding of data modelling, ETL processes, and data warehousing concepts.Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and containerisation technologies (e.g., Docker, Kubernetes) is a plus.Excellent problem-solving skills and a track record of delivering innovative and practical data solutions.Strong communication skills more »

Contract .NET Developer you should have the following experience: C# .NET ASP.NET Core/.NET 6 Amazon Web Services (AWS) or similar (Azure/GCP) Windows/Linux OS Identity Server/OpenID OAuth/Auth0/Security/SecOps Docker/Kubernetes Terraform/IaC ServiceBus/Message Queues more »

and industry best practices. Requirements: Proven experience as a Platform Engineer or similar role (3+ years). Strong understanding of cloud platforms (e.g., AWS, GCP, Azure). Experience with containerization technologies like Docker and Kubernetes. Experience with infrastructure automation tools (e.g., Ansible, Terraform). Proficiency in scripting languages (e.g., Python more »

JavaScript Proficient in infrastructure as code tools (e.g., Terraform, CloudFormation, Ansible) Experience with cloud security tools and services (e.g., AWS Security Hub, Azure Sentinel, GCP Security Command Center) Knowledge of security frameworks and compliance standards (e.g., NIST, PCI-DSS, SOC 2) Excellent problem-solving and analytical skills Strong communication and more »

abilities, and an eye for detail, effective communication will be paramount for collaborating with stakeholders and mentoring team members. Key Skills Commercial experience with GCP Leadership/management experience Terraform Docker Kubernetes Background in software engineering is an advantage If you are interested in the role please apply! We are more »

SRE practices including SLIs, SLOs, Error budgets and Toil removal. You will be proficient with CI/CD tools (e.g. Jenkins, Spinnaker, Azure DevOps & GCP) You should be able to define and monitor success metrics and build dashboards using tools such as Dynatrace, Kibana and Splunk. You will have proficiency more »

RESTful API, Sprint Boot, JPA, DB2 - Event-Driven-Architecture using Kafka/MQ - Cloud or Container technologies - Pivotal Cloud Foundry, AWS, Azure or GCP - Unit Testing, CIT, CI/CD pipelines It is essential that you have strong commercial experience deploying microservice architecture into production. Must be onsite in Central more »

Design, build, and maintain scalable data architectures, including pipelines and cloud-based data warehouses. Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/Tableau Industry: Fintech, Maritime trading Immersum are supporting the growth of a specialist consultancy who solely specialise in the Maritime more »

skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You more »

skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You more »

skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You more »

/ML solutionsExperience deploying models into production in a cloud environment.Experience working in the Insurance industry is essentialGood communication skillsTech: Python, SQL, AWS/GCP/AzureSALARY AND BENEFITSBasic salary 85,000-100,000Hybrid workingBenefits package and BonusHOW TO APPLYPlease register your interest for this role by sending your CV more »

technologies (e.g., Redshift, BigQuery, Snowflake). Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Exposure to cloud platforms (e.g., AWS, GCP, Azure) and their data services is highly desirable. Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively more »

within a team environment. Apply strong problem-solving skills with meticulous attention to detail. Required Skills: Proficiency in React, Node.js, TypeScript, Firebase, and Google Cloud Platform (including App Engine, Cloud Build, Cloud Run, and Firebase services). Experience with DeckGL Solid understanding of data structures. Minimum of 2-3 years more »

minimum of X years of experience. Extensive knowledge of public and private cloud technologies and solutions, including but not limited to AWS, Azure, Google Cloud Platform, and VMware. Strong understanding of cloud-native operations, including containerization, microservices architecture, serverless computing, and DevOps practices. Demonstrated ability to translate customer requirements and more »

Learning disciplines, such as Image Processing, Computer Vision, Signal Processing, Natural Language Processing, Pattern Recognition etc. Experience with Docker and Google Suite including Google Cloud Platform Experience with DevOps tools such as experiment tracking, automation, dataset versioning, etc. Excellent data processing capabilities using tools such as Python, Excel, Google Suite more »