1 to 25 of 83 Remote/Hybrid GCP Jobs in London

engineering practices Real-world experience building and maintaining CI/CD pipelines and automated testing frameworks Solid experience with cloud platforms (AWS, Azure or GCP) and Infrastructure as Code Knowledge of modern architecture patterns: microservices, event-driven, containerised (Docker/Kubernetes) Experience leading engineering teams through successful delivery Strong grounding ...

build, and maintain automated CI/CD pipelines, primarily using Docker/Kubernetes Leverage cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) to design scalable, reliable, and efficient DevOps solutions Set up and optimize virtual infrastructure, including hardware integrations, (sub)system onboarding, and hardware migrations Manage containerized … environments. Hands-on experience with containerization technologies, such as Docker and Kubernetes. Practical knowledge of cloud platforms like AWS, Azure, or Google Cloud Platform (GCP). Familiarity with access and identity management systems (RBAC en IAM) and Agile way of working. Experience with Infrastructure as Code (IaC) tools such ...

APIs and JSON/XML payloads Proficiency in Python or other backend languages Proficient or experienced with cloud technologies such as AWS, Azure, or GCP Experience debugging API issues using logs, monitoring tools, and API clients Comfortable working with relational databases and SQL Strong communication skills and ability to collaborate ...

Orchestration: Deep experience with containerization (Docker, Kubernetes) and orchestration tools like Kubeflow, Airflow, or Metaflow. Cloud Architecture: Expertise in deploying ML workloads on AWS, GCP, or Azure, utilizing managed services like SageMaker or Vertex AI. Data Foundations: Strong understanding of data modeling, feature stores, and distributed computing (e.g., Spark, Dask ...

Docker. Strong preference for AKS or EKS experience as well. 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 ...

ensure high availability of production systems Requirements Degree in Computer Science, Engineering, or similar, or relevant industry experience Experience with cloud platforms (AWS, GCP, or Azure) Strong knowledge of Docker, Kubernetes, and container orchestration Experience with Infrastructure as Code and CI/CD tools (e.g., GitHub Actions, GitLab CI, Jenkins ...

typical technologies we use: CI/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 ...

security risk assessments, auditing tools and an interest in emerging technologies.. Security tooling (e.g. SIEM, Identity and Access Management platforms, DLP), cloud platforms (AWS, GCP, Azure), Infrastructure as Code (Terraform) and scripting languages (e.g. Python). Experience with workflow platform such as tines.io Knowledge of cloud architecture and cybersecurity domains ...

working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps tools: Kubernetes, Docker, Terraform ...

working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps tools: Kubernetes, Docker, Terraform ...

best-practice governance What We’re Looking For Strong experience building and scaling data platforms and pipelines Deep cloud experience (AWS, Azure, or GCP) Advanced SQL skills and experience with at least one backend language (Python, Scala, Java, etc.) Hands-on experience with data warehouses, ETL/ELT, and distributed ...

have experience of building FastAPIs You have a good knowledge of public cloud services; they're using Azure but experience with AWS or GCP is fine You have experience of working with data at scale and strong SQL skills You have a good understanding of IaC, Terraform experience preferred ...

experience designing scalable, multi-cloud data platforms Strong understanding of data architecture methodologies, governance, and security best practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/ ...

Genuine hybrid working + home setup allowance 25 days annual leave + bank holidays (with buy/sell option) Fully funded professional certifications (AWS, GCP, Agile etc.) 5 days paid study leave + £500 annual personal development fund 1-2-1 coaching and structured career progression Private medical insurance Cycle ...

JavaScript Frontend frameworks: they use Vue.js but are also open to React and Angular Containerisation using Docker, Kubernetes Developing cloud-native applications with AWS, GCP, Azure SQL, NoSQL and other tools and scripting skills Benefits: Bonus Private health insurance (covering eye and dental too) Life assurance Enhanced pension contributions ...

site IPsec VPNs, SSL decryption operations Advanced Threat Prevention tuning, WildFire analysis, DNS Security Cloud security/networking exposure: Azure/AWS/GCP, cloud-native firewalls, transit networking VM-Series deployments, Terraform/automation exposure SIEM integration experience: Splunk/Sentinel/QRadar log forwarding and use-case support ...

teams. Strong experience with any backend language (Python, Golang, Java, Node/Typescript) However must be willing to learn Python. Strong experience working with GCP, AWS or Azure. Deep understanding of backend systems, but also understanding of Cloud Infrastructure and front-end code. Proven examples of working on software ...

deep understanding of data structures, data quality challenges, and how to design reliable transformation logic ·Experience working with modern data platforms such as Azure, GCP, AWS, Databricks, Snowflake, or similar ·Confidence working with imperfect data and making it fit for consumption downstream ·Experience supporting or mentoring other engineers through code ...

+ equity Tech Stack: Backend: Python (experience with FastAPI or Django or Flask beneficial) Cursor, Claude Code AWS - experience with Azure & GCP beneficial Are you a backend engineer who cares more about building robust systems and being part of a well-funded, fast moving start-up? We are working with ...

TypeScript, and willing to dive into coding when necessary. A solid understanding of the services offered by major public cloud providers (AWS, Azure, GCP) and a track record of building enterprise-grade applications on one of these platforms. You will also have excellent communication skills with demonstrable experience in leading ...

engineers. Requirements Strong experience in Python software engineering. Hands-on experience developing and deploying AI agents or intelligent systems. Familiarity with cloud infrastructure (AWS, GCP, or Azure). Experience with containerization and orchestration (Docker, Kubernetes). Ability to thrive in a fast-paced, collaborative environment. If this sounds like something ...

NLP. Data Engineering: Proficiency in SQL and experience working with modern data stacks (e.g., Snowflake, Spark, or cloud-native tools on AWS/GCP/Azure). Scientific Rigor: A strong foundation in the scientific methodforming hypotheses, designing experiments, and validating results with statistical discipline. Qualifications & Experience Experience: 4+ years ...

infrastructure, software, and service platforms with a strong focus on stakeholder engagement, budget management, and governance. Brings deep understanding of cloud technologies (Azure, AWS, GCP) and modern delivery models to ensure secure, scalable, and citizen-focused solutions. Expert in driving cross-functional collaboration, aligning IT strategies with policy outcomes ...

guardrails, and documentation Required Skills & Experience Strong experience in a DevSecOps or DevOps with security focus role Hands-on cloud experience (AWS, Azure, or GCP) CI/CD tooling (GitHub Actions, GitLab CI, Jenkins, or similar) Infrastructure as Code (Terraform, CloudFormation, etc.) Container and Kubernetes security Experience implementing security tooling ...

experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement ...