151 to 175 of 1,124 GCP Jobs in London

BI tools (e.g. Tableau, Power BI) for communicating customer insights Comfortable working with large datasets from sources like CRM, web analytics, product telemetry, etc. Exposure to cloud platforms (AWS, GCP, Azure) and modern data pipelines (e.g. Airflow, dbt) is a plus Soft Skills: Business-oriented thinker with strong communication skills Able to clearly explain complex models to non-technical audiences More ❯

BI tools (e.g. Tableau, Power BI) for communicating customer insights Comfortable working with large datasets from sources like CRM, web analytics, product telemetry, etc. Exposure to cloud platforms (AWS, GCP, Azure) and modern data pipelines (e.g. Airflow, dbt) is a plus Soft Skills: Business-oriented thinker with strong communication skills Able to clearly explain complex models to non-technical audiences More ❯

of designing, building, and running high-quality, standards-compliant workflow APIs, with a focus on testing, observability, and performance. Have worked with a cloud provider (AWS/Azure/GCP). Have worked with distributed systems and are comfortable debugging through tracing and observability. Willing to be on-call for your services. Nice to have Have experience with Node.js , specifically More ❯

Ability and techniques to improve processes per project, client workstreams and in the technology department as a whole. Technical skills and knowledge: Cloud hosting providers such as AWS, Azure, GCP Knowledge of Infrastructure as Code, CI/CD Use of Middleware and RESTful or GraphQL APIs Microservices and MACH Architectures. HTML, CSS, Javascript frameworks such as React, or Mobile technologies More ❯

Ability and techniques to improve processes per project, client workstreams and in the technology department as a whole. Technical skills and knowledge: Cloud hosting providers such as AWS, Azure, GCP Knowledge of Infrastructure as Code, CI/CD Use of Middleware and RESTful or GraphQL APIs Microservices and MACH Architectures. HTML, CSS, Javascript frameworks such as React, or Mobile technologies More ❯

Ability and techniques to improve processes per project, client workstreams and in the technology department as a whole. Technical skills and knowledge: Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify AI platforms such as AWS Bedrock, Microsoft Azure AI, Google Vertex AI AI frameworks such as AutoGen, Langflow Fine-tuned and train AI models Knowledge of Infrastructure as More ❯

tooling. Collaborate with engineering, security, and product teams to drive end to end reliability. Qualifications Experience 6+ years of DevOps/SRE experience in cloud environments (AWS, Azure, or GCP). Expertise in Kubernetes, Docker, Helm, and microservices architectures. Strong scripting skills in Python, Bash, or Typescript. Proven track record of automating build, test, and deployment workflows. Clear communicator with More ❯

profiling, RBAC). Familiarity with network monitoring tools/protocols and logging pipelines (e.g., SNMP, Syslog, Netflow, ELK Stack, Grafana). Strong knowledge of cloud platforms (e.g., Azure, AWS, GCP) and infrastructure management. Experience with network security technologies, including firewalls (Palo Alto, CheckPoint), IDS/IPS, NDR, switch/router ACLs, NAC solutions, IPSec/TLS VPNs, WAFs, email security More ❯

Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing More ❯

Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing More ❯

Strong knowledge of database management (PostgreSQL, Elastic, or Clickhouse is a plus). Deep understanding of DevOps practices as well as network, OS fundamentals Experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes). Familiarity with distributed computing and scalable architecture. Experience implementing security best practices for backend systems. Knowledge of MLOps and AI model deployment is More ❯

and implementing cloud infrastructure and application deployments at scale (Terraform or similar, Kubernetes or similar, Docker) Understanding of networking and experience troubleshooting integrated infrastructures in the cloud (AWS, Azure, GCP) Experience building and owning continuous integration, testing, and deployment workflows (GitHub Actions, GitLab CI/CD, Jenkins, or similar) Experience monitoring infrastructure and applications for health and performance Experience building More ❯

infrastructure portfolios. Proven success planning and rationalizing global estates, optimizing value, cost, and risk. Extensive experience in a globally distributed environment spanning multiple platforms such as AWS, Azure and GCP Experience of cloud security techniques in a DevSecOps and agile working environment Experience in understanding and capturing requirements, continuously improve and develop technical policies and processes Experience leading and mentoring More ❯

data governance plans that are in line with ethical considerations, (cyber)security & relevant legislation, and designed their implementation You have experience working on cloud-based infrastructure (e.g. AWS, Azure, GCP) You have demonstrable continuous personal development with relevant data certifications and accreditations You have experience with CI/CD tooling to analyse, build, test and deploy code and proven experience More ❯

and Exchange . Proficiency in DataWeave , Mule connectors , and custom policies. Solid understanding of MongoDB and its integration with MuleSoft. Strong understanding of cloud platforms (AWS/Azure/GCP) and containerization (Docker, Kubernetes) is a plus. Knowledge of CI/CD pipelines , DevOps , and logging/monitoring tools for integration environments. Excellent communication and stakeholder management skills. Preferred Qualifications More ❯

storage solutions. - Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. - Familiarity with version control systems such as Git. - Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. - A passion for solving problems with technology and working to deliver efficient, scalable solutions. - A proactive, results-driven mindset with the More ❯

languages such as Java, Python, Kotlin, Go, or Scala is nice to have. Understanding of SaaS, PaaS, IaaS industry with hands-on experience with public cloud offerings (e.g., AWS, GCP, Azure). Fluency in any one database technology (e.g. RDBMS like Oracle or Postgres and/or NoSQL like DynamoDB or Cassandra). Experience crafting and implementing well-tested, highly More ❯

like scikit-learn, XGBoost, and pandas Practical experience in MLOps or strong knowledge of model deployment (e.g. MLflow, Airflow, Docker, Kubernetes, model monitoring tools) Familiarity with cloud environments (AWS, GCP, or Azure) and data pipelines Excellent communication skills—able to explain technical work to non-technical stakeholders and come to meetings with ideas To apply, please submit your CV to More ❯

like scikit-learn, XGBoost, and pandas Practical experience in MLOps or strong knowledge of model deployment (e.g. MLflow, Airflow, Docker, Kubernetes, model monitoring tools) Familiarity with cloud environments (AWS, GCP, or Azure) and data pipelines Excellent communication skills—able to explain technical work to non-technical stakeholders and come to meetings with ideas To apply, please submit your CV to More ❯

science, data engineering, data security and proven experience in relevant technologies (e.g., Python applied to data science). You have experience working on cloud-based infrastructure (e.g., AWS, Azure, GCP). You have demonstrable continuous personal development. You have strong interpersonal skills. You have experience with using CI/CD tooling to analyse, build, test and deploy your code and More ❯

analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud platforms (e.g., AWS, GCP). 📊 Experience working with data—through academic projects, internships, or personal work—and a curiosity to learn more. 🗣️ Strong communication skills to share findings clearly with both technical and non More ❯

analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud platforms (e.g., AWS, GCP). 📊 Experience working with data—through academic projects, internships, or personal work—and a curiosity to learn more. 🗣️ Strong communication skills to share findings clearly with both technical and non More ❯

TDD, pair programming. Continuous Integration/Continuous Delivery REST API development and/or consumption. Desirable skills/experience you may have Experience with Cloud Platforms such as AWS, GCP or Azure Docker, Kubernetes Jenkins, Gitlab CI. Additional Information: The application form consists of an online assessment, CV upload, followed by application questions. Please visit - jlpjobs.com/how-to-apply More ❯

design and development practices About the candidate: 3+ years of experience in a similar role Experience with RESTful APIs, GraphQL, and WebSockets Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) is beneficial Familiarity with CI/CD pipelines, DevOps practices, and automated testing Excellent problem-solving skills and experience working in a fast paced, agile environment More ❯

presentation skills Hands-on experience in technical integrations and POCs Comfortable coding in any high-level programming language (Java, Go, Python) Strong hands-on knowledge of Kubernetes, AWS, Azure, GCP, Docker, Prometheus, and OpenTelemetry Industry knowledge and opinions on Monitoring, Observability, Log Management, SIEM Engineering/DevOps Background - advantage Experience in Technical Sales of Log Analytics/Monitoring/APM More ❯