101 to 125 of 826 GCP Jobs in the UK

Familiarity with containerisation and orchestration (Docker, Kubernetes). Knowledge of networking and security fundamentals in Azure (ExpressRoute, load balancing, DNS, availability sets). Awareness of other cloud platforms (AWS, GCP) is a plus. More ❯

using a variety of technologies and cloud platforms. Our Tech Stack Languages:JavaScript/TypeScript, Java, C# Frameworks:Vue, Angular, React, Node, Next.js, Spring Boot, .NET Cloud Platforms:AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps Infrastructure as Code:Terraform, CloudFormation, Azure Bicep AI:Pragmatic and safe integration through the SDLC Essential Requirements Proven experience managing and More ❯

using a variety of technologies and cloud platforms. Our Tech Stack Languages:JavaScript/TypeScript, Java, C# Frameworks:Vue, Angular, React, Node, Next.js, Spring Boot, .NET Cloud Platforms:AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps Infrastructure as Code:Terraform, CloudFormation, Azure Bicep AI:Pragmatic and safe integration through the SDLC Essential Requirements Proven experience managing and More ❯

microservice-based architectures using domain driven design (DDD). CQRS and Event Sourcing patterns * Kubernetes * Knowledge/Certification in Spring framework. * Experience in cloud technologies AWS/Azure/GCP More ❯

need: Strong proficiency in SQL and experience with relational databases. Hands-on experience building data pipelines and ETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling, warehousing, and optimisation. Familiarity with big data frameworks (e.g. Apache Spark, Hadoop). Understanding of data governance, security, and compliance best practices. Strong problem-solving More ❯

technical concepts to both technical and non-technical audiences. Experience working with large-scale data processing and distributed computing frameworks. Knowledge of cloud platforms such as AWS, Azure, or GCP, with hands-on experience in cloud-based data services. Proficiency in SQL and Python for data manipulation and transformation. Experience with modern data engineering tools, including Apache Spark, Kafka, and More ❯

and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data modelling concepts (e.g., medallion architecture) and ensure data quality and governance. Collaborate with DevOps teams to automate CI/CD and MLOps processes using More ❯

and session management. Experience with Git and modern CI/CD pipelines. Strong debugging and problem-solving skills. Nice to Have Experience with containerisation (Docker) and cloud environments (AWS, GCP, or Azure). Understanding of the trade-offs of architectural and design decisions. Experience with Sequelize or similar tools Knowledge of security, accessibility and performance best practices. Exposure to agile More ❯

our technology choices. These are some of the things we use at the moment: Python PostgreSQL, BigQuery, MySQL TypeScript, React, styled-components Jest, React Testing Library, Cypress, pytest AWS, GCP ECS Fargate, Docker, Terraform, GitHub Actions How we expect you to work We expect you to work in these ways, as well as encouraging and enabling these practices from others More ❯

such as Terraform or Helm. Proficiency with monitoring and observability tools like Prometheus and Grafana, including metrics collection and alerting. Familiarity with at least one major cloud platform (AWS, GCP, or Azure). Strong scripting or programming skills in Python, Go, or Bash for automation and tooling development. What you will gain at Intapp: At Intapp, you'll get the More ❯

experience in DevOps, Platform, or Site Reliability Engineering Strong Kubernetes expertise and proven experience managing production-grade clusters Proficiency across at least one major cloud platform (AWS, Azure, or GCP) Understanding of networking, identity management, and secure cloud operations Familiarity with Agile delivery and working within multi-disciplinary, secure environments Eligible for UK Security Clearance (SC or DV) Why Join More ❯

in IAM, endpoint security, and data protection technologies, with proven ability to design and scale global solutions. Experience with security engineering in hybrid and cloud-native environments (AWS, Azure, GCP). Proven track record in automating security controls, implementing zero-trust models, and supporting 24x7 security operations. Strong understanding of compliance frameworks and risk management strategies. Preferred Qualifications Certifications such More ❯

developer satisfaction for continuous improvement. Skills & Experience Proven experience as a Product Owner or Technical Product Manager in platform engineering or DevOps. Strong knowledge of cloud infrastructure (AWS, Azure, GCP), containerisation (Docker, Kubernetes), and CI/CD pipelines. Agile experience with cross-functional teams. Excellent communication and stakeholder management skills. Ability to translate technical concepts into business value. Desirable: CSPO More ❯

developer satisfaction for continuous improvement. Skills & Experience Proven experience as a Product Owner or Technical Product Manager in platform engineering or DevOps. Strong knowledge of cloud infrastructure (AWS, Azure, GCP), containerisation (Docker, Kubernetes), and CI/CD pipelines. Agile experience with cross-functional teams. Excellent communication and stakeholder management skills. Ability to translate technical concepts into business value. Desirable: CSPO More ❯

as TensorFlow, PyTorch, or Scikit-learn. Strong programming skills in languages such as Python, Java, or Scala. Strong experience with cloud-based AI services and platforms (e.g., AWS, Azure, GCP, ServiceNow, SalesForce). Proven experience of the sales lifecycle from lead development, client proposal/presentations, to onboarding delivery teams. Excellent communication and stakeholder management skills, with the ability to More ❯

mitigation Error-correction Quantum Machine Learning Prior exposure to quantum SDKs (e.g., Qiskit, Cirq, PennyLane) and Quantum simulators. Hands-on experience with DevOps and infrastructure tools: Docker Cloud environments (GCP and AWS) CI/CD workflows Comfortable working remotely and asynchronously across time zones Benefits We offer competitive compensation with significant equity and benefits. Join a diverse, flexible workplace building More ❯

models for product catalogues, speech processing pipelines with web integration, MLOps platforms, rapid model serving, and real-time inference systems with corresponding user interfaces Cloud-Native Deployment: Ideally Google Cloud Platform expertise including rapid Cloud Run deployments, Vertex AI, Vector Search for product recommendations, Pub/Sub for order processing, monitoring, frontend hosting solutions, and Infrastructure as Code Performance & Evaluation More ❯

development experience using one or more programming languages such as Python, Rust and Golang Solid experience with core cloud services (such as EC2, S3, and VPC on AWS and GCP equivalent) and software development tools such as Git, Terraform, GitLab, Jira, etc. Solid experience with developing in Linux environment Experience with complex data structures and database and analytics technologies such More ❯

you just get things done using the right tools as and when required. Demonstrated knowledge of C/C++, Python, Node, Dart, Angular, React, Vue Demonstrated knowledge of Azure, GCP or AWS. Ideally more than one. Knowledge of multiple database types. You know when to use a time series database rather than a document database. You know why to use More ❯

technical outputs into commercial insights for senior stakeholders. Technical fluency across: BI tools (e.g., Power BI, Tableau, Qlik) SQL and data engineering Python or R Cloud technologies (AWS, Azure, GCP) Strong communication and stakeholder management skills; comfortable influencing C suite clients. Advantageous competencies (but not essential): Exposure to AI/ML, NLP or advanced modelling Exposure to the modern data More ❯

technical outputs into commercial insights for senior stakeholders. Technical fluency across: BI tools (e.g., Power BI, Tableau, Qlik) SQL and data engineering Python or R Cloud technologies (AWS, Azure, GCP) Strong communication and stakeholder management skills; comfortable influencing C-suite clients. Advantageous competencies (but not essential): Exposure to AI/ML, NLP or advanced modelling Exposure to the modern data More ❯

unit tests Experience maintaining codebases for business critical systems Proficiency in Git for version control Basic knowledge of cloud infrastructure with experience working with at least one of AWS, GCP, or Azure Strong SQL skills for efficient data management and retrieval Knowledge of lending products and business processes will be a major advantage Awareness of financial concepts, accounting flows, or More ❯

our data warehouse in Google BigQuery. We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science Go to write our application code AWS for most More ❯

different audiences Experience working in middleware technology, ideally within API management, IAM or integration Good knowledge of REST, JSON and XML Hands-on experience with cloud providers (AWS, Azure, GCP) Ability to design deployment architectures (HA, DR, etc) Understanding of Kubernetes, Docker, continuous integration and continuous delivery processes, as well as experience with Linux Creativity and innovation to come up More ❯

mobile and multiple paradigms (e.g. declarative, functional, object oriented ) Experience with establishing good engineering practice focused on lean, cross-discipline, continuous delivery Experience with cloud infrastructure such as Azure, GCP, AWS, and understanding of progressive ways of managing infrastructure, such as infrastructure-as-code, cluster orchestration tools (e.g. Docker, K8s), Experience with setting up modern CI/CD pipelines to More ❯