1 to 25 of 155 Google-Cloud-Platform Jobs in Slough

solutions Solid understanding of cyber security principles including secure coding practices, encryption, authentication, and access management Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation technologies including Docker and Kubernetes Familiarity with CI/CD tools, infrastructure as code, performance monitoring, and modern DevOps practices Strong ...

mobile frameworks Previous experience working on SaaS or B2B platforms Understanding of Agile development workflows Familiarity with cloud platforms such as AWS or GCP ...

experience with workflow orchestration tools • Comfortable working with dbt or similar transformation frameworks • Experience in Azure is preferred, but strong engineers from AWS/GCP are considered • Understanding of infrastructure-as-code (Terraform, Pulumi or similar) • Ability to simplify and communicate complex technical ideas • Curiosity, ownership, and comfort working ...

experience with SQL. ML Expertise: Solid understanding of supervised/unsupervised learning, deep learning, and model evaluation techniques. Cloud & MLOps: Experience with AWS, GCP, or Azure; Docker/Kubernetes; MLflow or similar tools. Data Handling: Familiarity with big data frameworks (Spark, Hadoop) and data versioning tools (DVC). Soft ...

Advanced SQL + strong data modelling Expertise in large-scale ETL/ELT pipelines Solid understanding of distributed systems Experience across AWS, Azure, or GCP Knowledge of Docker, Kubernetes, containerisation & orchestration Familiarity with CI/CD and modern DevOps practices Security, Defence & Government Experience Experience building data solutions in secure ...

leadership, and mentoring skills. Nice-to-have Familiarity with Next.js, Micro Frontends, and Server-Side Rendering (SSR). Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tools such as Terraform. Background in data visualization or AI-driven UX design. Contributions to open-source projects or active ...

automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema ...

C++, C#, Python, Java, JavaScript, TypeScript Familiarity with frameworks like .NET, Node.js, React, Angular, Spring Boot, Django Knowledge of cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes, Git, Jenkins) Strong problem-solving and analytical skills Excellent communication and client-facing abilities Active SC or DV Clearance ...

current with emerging technologies, especially in AI, data processing, and scalable web architectures. Tech Stack Frontend: JavaScript, React Backend: Node.js, Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models preferred Tooling: GitHub ...

transformation logic Strong experience with data pipelines and orchestration tools Hands-on experience with big data ecosystems (e.g., Snowflake, Databricks, Spark, AWS/GCP/Azure data services) Advanced skills with Tableau, Power BI, or Looker, including data source optimization and dashboard automation Proficiency in Python or R for scripting ...

modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control (git). Strong problem-solving skills and the ability to break down ...

Spark, Flink). Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control ...

Hands-on experience with tools such as MLflow, Kubeflow, TensorFlow Serving, or similar. Cloud Platforms: Proficiency in multi-cloud environments (AWS, Azure, GCP). DevOps & Automation: Strong knowledge of CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform). Programming: Advanced skills in Python ...

architectures. Implement service communication, load balancing, and observability. Work with message queues (e.g., Kafka, NATS, RabbitMQ). Deploy applications to cloud platforms (AWS, GCP, Azure). Use containerization tools (Docker) and orchestrators (Kubernetes). Implement CI/CD pipelines. Database Management Testing & Quality Assurance System Monitoring & Maintenance Collaboration & Agile ...

guardrails into pipelines and Terraform modules. Key Skills and Experience: Proven experience operating production systems on a major cloud (AWS/Azure/GCP) with solid cloud fundamentals (networking, IAM, storage, compute, HA/DR). Hands‐on IaC with Terraform (modules, state, CI validation, policy checks). ...

/CD (Jenkins, Argo, Flux) Cloud Native deployment (Helm/Kustomize) Cloud/Cloud Native platforms (Azure, AWS, GCP, OpenShift) Infrastructure-as-Code (Terraform, Ansible, Crossplane) Container orchestration, networking, and automation (Kubernetes, Docker) Scripting (Bash, Powershell, Python) Programming languages (Golang, Java, Ruby, Python) Vulnerability remediation and mitigation ...

with CI/CD, automated testing, and version control Passion for data, analytics, and AI-driven problem solving Nice to Have: Cloud (AWS, GCP, Azure), Kafka/gRPC, React, Infrastructure as Code, ML/data processing experience Why Join? Work on greenfield data and AI initiatives Build scalable systems ...

What We're Looking For: Solid experience working with Kubernetes in production Strong software engineering skills in Go Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with IaC tools (Terraform, Helm, etc.) Knowledge of containerisation, CI/CD, and DevOps practices A collaborative mindset and willingness to learn ...

Java, spring boot Solid understanding of Docker Compose, Kubernetes, and Amazon EC2. Expertise in at least one major cloud platform (AWS, GCP, or Azure). Proven experience in media or OTT streaming solutions is a strong plus. Strong knowledge of microservices, RESTful APIs, and event-driven architectures. Familiarity ...

PyTorch, TensorFlow). Prompt Engineering, Langchain, Langsmith/Langfuse, Gen AI/Agentic AI, Cloud platforms (Azure AI Foundry, AWS Sagemaker/Bedrock, GCP Vertex AI), MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Preferred Delivered AI projects within Agile frameworks Experience on Model Feedback Analysis, topic modelling ...

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 ...

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 ...

econometrics or marketing measurement. Experience with agile development methodologies, such as Scrum or Kanban. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with DevOps practices and tools for continuous integration and deployment. Solid understanding of system design principles, scalability ...

Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience preferred Financial services experience highly desirable A hands-on role with real impact, autonomy, and senior stakeholder exposure. ...

development skills and experience with ML frameworks like PyTorch, TensorFlow, or Scikit-learn Familiarity with deployment workflows in cloud platforms such as Azure, GCP, or AWS Experience managing containerised infrastructure using Docker and orchestration tools like Kubernetes Strong communication skills and ability to lead teams through both technical complexity ...