1 to 25 of 810 GCP Jobs in London

such as HTML, CSS, JavaScript, and modern JavaScript frameworks (e.g., ReactJS, MobX and TypeScript). Experience with RESTful API design and development. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience with version control systems (e.g., Git and Jira, BitBucket, Bamboo from Atlassian). Understanding of agile development methodologies (Scrum, Kanban). Excellent More ❯

to work effectively with cross-functional teams, including business analysts, data stewards, and other developers. Cloud Technologies : Proficiency with cloud-native services and patterns across major platforms (AWS, Azure, GCP), including serverless functions and managed database services. AI Engineering : Basic understanding and interest in integrating AI capabilities for data quality, matching, and enrichment within master data management systems. Adaptability : Willingness 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 ❯

role has no line management responsibilities. Our platforms are built with Clojure, employ a polylith architecture, are deployed using CI/CD, heavily exploit automation, and run on AWS, GCP, k8s, Snowflake and more. We serve 9 petabytes and 77 billion objects annually, which amounts to 20 billion ad impressions across the globe. You'll play a leading role in More ❯

required). Proficiency in front-end development using frameworks like React, Vue.js, or Angular (preferred but not required). Proficiency with PHP (desirable) Experience working with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Strong understanding of CI/CD pipelines, DevOps practices, and software deployment strategies. Working knowledge of database technologies (SQL and NoSQL) and performance More ❯

and at least one major frontend framework (React, Vue.js, or Angular). Deep understanding of database design, optimisation, and management (PostgreSQL, Neo4j, Redis). Experience with cloud platforms (AWS, GCP, Azure) and infrastructure as code (Terraform). Proficiency with containerisation and orchestration technologies (Docker, Kubernetes). Strong knowledge of distributed systems, message queues, and event-driven architectures. Experience with high More ❯

and you know why you want to avoid them Experience working with and integrating complex external REST APIs. Experience working with one or more of the leading cloud platform (GCP, AWS, Azure) Experience with serverless architectures (Lambda, Fargate, Cloud Run, et al.) and a clear understanding of when not to use them. Experience with message queues (SQS, PubSub, RabbitMQ etc. 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), we're 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 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 ❯

ELK Stack) and cloud cost optimisation strategies. Preferred Skills: AWS certification(s) (e.g., AWS Certified Solutions Architect, AWS Certified Security - Specialty). Experience with other cloud platforms (e.g., Azure, GCP). Familiarity with serverless architectures and AWS Lambda. Expertise in compliance standards such as GDPR, HIPAA, SOC2, and ISO 27001. Experience with advanced security practices such as zero-trust architecture More ❯

and problem-solving skills. • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Preferred Qualifications: • Certifications in DevOps, Cloud Architecture (AWS/Azure/GCP), or SRE. • Experience with scripting languages such as Python, Bash, or PowerShell. • Familiarity with Agile/Scrum methodologies and DevSecOps practices. ͏ Why work at Wipro? We pride ourselves on creating More ❯

knowledge of Python and FastAPI, Django, or Flask Web Development tools : Experience with React/TypeScript or large-scale web applications Cloud & Data Stores : Hands-on with AWS/GCP/Azure, Postgres/MySQL, and Redis. Microservices & DevOps : Solid grasp of microservices, Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Jenkins) AI/ML Foundations : Familiarity (or eagerness More ❯

Bash, Python or PowerShell Production experience operating containerization technologies - ideally with Kubernetes and/or Docker. Proficiency with one or more public cloud providers such as Azure, AWS or GCP Proficiency using Infrastructure as Code (IaC) tools such as Terraform (preferred), Ansible, or CloudFormation. Experience with monitoring, observability and logging tools such as DataDog, Prometheus, Grafana, or similar. Proven track More ❯

APIs, frameworks and world-leading deep learning NLP technology . Our tech stack: Programming language: Python Frameworks: FastAPI, Flask, Django Databases and data stores: PostgreSQL, Redis Cloud providers: Google Cloud Platform, Microsoft Azure Events and asynchronous tasks: Celery, NATS, Argo Workflows We work agile in sprints and iteratively deliver towards our milestones and goals. We do code reviews and regular More ❯

response, and post-mortem analysis Hands-on experience with containerization technologies such as Docker and Kubernetes Proven experience managing cloud-based infrastructure and services, including AWS, Azure, or Google Cloud Platform Proven experience of MSSQL, Oracle and Sybase database environments, including complex query-writing Application support experience within a Unix/Linux environment Strong working knowledge of the FIX protocol More ❯

e.g. SNS/SQS, RMQ , Kafka), as well as Docker, Kubernetes and enterprise-level distributed system architecture. Cloud Platform Experience : Working knowledge of major cloud platforms ( AWS , Azure, or GCP). Problem-Solving Ability : Strong analytical skills with a track record of developing practical solutions that drive product growth. Team Player : Excellent English communication skills with proven ability to work More ❯

with containerization technologies such as Docker and Kubernetes • You have experience with CI/CD pipelines and automated deployment tools • You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure • You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible • You hold strong communication skills with an ability to explain complex technical More ❯

years of professional experience as a backend/platform engineer Have deep expertise in Python and building reliable data-focused backend services Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker/k8s) and data pipelines (SQL, dbt, Airbyte) Love automation, process improvement and finding ways to help others work efficiently More ❯

of MLOps and production deployment practices Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow) Familiarity with cloud platforms and data infrastructure (e.g., AWS/GCP/Azure, SQL, ELT tools) Understanding of ethical frameworks, explainability, and governance in AI Engaging & Adaptable Communication: Ability to deliver dynamic training sessions and tailor communication to different audiences. Coaching More ❯

ML pipelines in production environments Knowledge of CloudOps practices, with expertise in managing scalable, cost-optimized, and resilient data and ML workloads across major cloud platforms (AWS, Azure, or GCP) Experienced in architecting scalable ML solutions on cloud platforms, leveraging cloud-native services for data pipelines, model deployment, and system reliability Deep understanding of DevOps principles, including infrastructure as code More ❯

experience in the following areas may also be helpful, but is not required or expected: Swift/iOS GraphQL Microservice Architectures Docker, Kubernetes, and cloud platforms such as AWS, GCP or Azure Understanding of UX principles HTML, CSS, and related web technologies Experience with modern JavaScript libraries and tooling, such as React, Redux, Webpack Any server side development languages such More ❯

Strong grasp of software architecture and microservices Experience working in containerised environments (Docker, Kubernetes) Familiarity with CI/CD pipelines, secure deployment practices and cloud deployment (e.g., AWS/GCP/Azure) Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Desirable: Experience with LLMs or transformer-based architectures (e.g., OpenAI, Mistral, or custom-trained models) Familiarity with More ❯

s degree in Computer Science, Engineering, or related field or equivalent experience. Desirable: Experience scaling teams and systems in high-growth environments. Familiarity with cloud platforms (e.g., AWS, Azure, GCP). Exposure to Behaviour-Driven Development (BDD) and/or Data-driven decision-making software. Employee Benefits As if contributing to and supporting work that makes life better for millions More ❯

clearance. Preferred technical and professional experience Experience with AI/ML workloads and infrastructure. Knowledge of cybersecurity best practices and threat mitigation. Familiarity with multiple cloud vendors (e.g., AWS, GCP, Azure). ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many More ❯