1 to 25 of 174 GCP Jobs in Berkshire

time on-site role 3 days a week minimum in Kings Cross London. We are seeking a skilled Site Reliability Engineer with a strong focus on Google Cloud Platform (GCP) to join our dynamic team. In this role, you’ll be responsible for maintaining cloud infrastructure, managing incidents, and ensuring seamless operations for our clients. You’ll use tools like … incident.io and JIRA to manage and resolve support requests efficiently. Qualifications 8-10 years of experience managing applications and infrastructure performance. Proven experience with Google Cloud Platform (GCP) services. Familiarity with incident.io for incident tracking and management (of equivalent) Proficiency in using JIRA for task management and support workflows. Strong experience working with observability tools (Grafana) Strong troubleshooting and problem … Understanding of cloud security and performance optimisation best practices. Knowledge of scripting or automation tools (e.g., Python, Terraform) is a plus. Excellent communication and customer service skills. Certifications in GCP (Professional certifications) are highly desirable. Ability to work under pressure and prioritise tasks effectively. Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). Responsibilities More ❯

GCP Data Engineer | London | £50,000 - £70,000 Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. With a diverse portfolio of clients and cutting-edge projects, our client is a trusted name in the data consulting space. Due to exciting growth plans, we are now looking for a … Data Engineer , specialising in Google Cloud Platform (GCP) and BigQuery . We are looking for: Demonstrable data engineering/BI skills, with a focus on having delivered solutions in Google Cloud Platform (GCP) Strong experience designing and delivering data solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent … communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP Data Engineering certifications BigQuery or other GCP tool certifications What’s in it for you: 📍 Location: London (Hybrid) 💻 Remote working: Occasional office visits each month 💰 Salary: £50,000–£70,000 DOE 🤝 Collaborative culture and strong team support 📈 Vast L&D opportunities both internally and externally More ❯

development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical planning, and product development. Translate business requirements into scalable technical solutions that support critical client outcomes. Analytics Engineering Leaders: Architect and More ❯

such as: ML.NET TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills More ❯

level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯

and internal engineering teams. Technical Profile 7+ years’ experience in software engineering or cloud architecture , with recent focus on solution design and delivery leadership . Deep experience with AWS, GCP, or Azure , including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale. Proficiency in one or more modern languages More ❯

in Go. Proficiency in React and modern JavaScript/TypeScript. Solid understanding of microservices architecture, RESTful APIs, and service-to-service communication. Experience working with cloud infrastructure (e.g. AWS, GCP or Azure). Strong grasp of software engineering fundamentals: testing, documentation, performance, reliability. Excellent communication and collaboration skills: you're comfortable working cross-functionally with engineers, designers, and product managers. More ❯

RESTful APIs, microservices, and event-driven architectures. Hands-on experience with databases (SQL and/or NoSQL) and data modelling best practices. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerisation tools like Docker/Kubernetes . Experience with CI/CD pipelines , automated testing, and code quality tools. Solid understanding of software engineering principles: scalability, performance, and maintainability. More ❯

and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and More ❯

and internal engineering teams. Technical Profile 7+ years’ experience in software engineering or cloud architecture , with recent focus on solution design and delivery leadership . Deep experience with AWS, GCP, or Azure , including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale. Proficiency in one or more modern languages More ❯

Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security More ❯

design, growth, and other engineers to ship high-impact features Ensuring scalability, performance, security, reliability and maintainability across the full stack Contributing to cloud infrastructure setup and optimisation (AWS, GCP or Azure), containerisation, deployment pipelines, monitoring and optimisation Implementing CI/CD pipelines, automated testing, monitoring, and related DevOps practices Mentoring junior engineers and helping improve engineering practices across the More ❯

JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

CI/CD workflows. Mindset: Startup-ready, pragmatic, problem-solver with a "get things done" attitude. Preferred BackgroundExposure to property, fintech, or marketplace platforms. Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes). Understanding of modern security practices and performance optimization. Compensation & Benefits: Competitive salary with the potential for equity options based on performance, recognising More ❯

environment Familiarity with SQL and NoSQL databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM More ❯

environments (Docker/Kubernetes). Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. Why Join Us? Join a multi-discipline team, delivering advanced Messaging APIs, developing tools, administering , supporting low latency, high throughput messaging system for prices, orders More ❯

and planning sessions. What We’re Looking For: Strong Python developer with experience in multithreaded programming and frameworks like Flask. Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Experience with Node.js and React for adding features to web pages More ❯

and microservices architecture. Basic knowledge of front-end technologies (HTML, CSS, JavaScript). Understanding of Agile methodologies. Familiarity with CI/CD pipelines and cloud platforms (e.g., AWS, Azure, GCP). Familiarity with Cloud technologies such as Azure and AWS. Familiarity with Atlassian applications such as Jira, Confluence and Bitbucket. What We Offer: Competitive salary and benefits including private healthcare More ❯

related field (top-tier university preferred) Desirable Experience Hands-on experience with Rust (or willingness to learn — our current team picked it up on the job) Cloud infrastructure: Kubernetes, GCP, Cloudflare, Terraform Databases: SQL-like, especially SurrealDB Leadership qualities: mentoring, project ownership, stakeholder management Exposure to sports betting, gambling, or adjacent domains (not required) What Success Looks Like More ❯

training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

eg. React, Next.js, Tailwind) Experience with real-time and bi-directional communication protocols and patterns (eg. WebSockets, SSE) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) AI-Native development: fast iteration & prototyping using AI tools such as Lovable, Bolt, or Cursor as a collaborator. Nice to Have: Some experience in backend development (Python/Java More ❯

systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) AI-Native development: use AI tools such as CoPilot or Cursor a collaborator and accelerator of development. Nice to Have: Experience in frontend development (eg. Javascript, Typescript, React.js) Worked More ❯

ReactJS/Svelte/Webpack/HTML/CSS Security - Oauth2 Build Tools - Nx Dev/Yarn/npm Platform - Docker/Nginx Desirable Technical Skills Serverless AWS/GCP – API Gateway/Lambda Orchestration Stack – Kubernetes/Nomad Experience with Java and Python Education & Experience Bachelor’s degree in computing, science, or engineering. At least 3 years of software More ❯

statistical modelling 📈 Strong problem-solving and analytical mindset 🗣 Excellent communication skills and a genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data More ❯