GCP DevOps Engineer – AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We’re seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure … a hands-on technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on GoogleCloudPlatform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes to support … up monitoring and alerting systems using Cloud Monitoring , Cloud Logging , Prometheus Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise in CI More ❯
GCP DevOps Engineer – AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We’re seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure … a hands-on technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on GoogleCloudPlatform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes to support … up monitoring and alerting systems using Cloud Monitoring , Cloud Logging , Prometheus Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise in CI More ❯
analytics platforms (e.g., Apache Airflow, Spark, Kafka, dbt, Snowflake, or similar). DevOps & Cloud: Experience with containerisation (Docker, Kubernetes), CI/CD pipelines, and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable and increasingly standard in the industry. Skills set and Core Competencies Required for Role: Programming & Data: Strong proficiency in Python, SQL, and Postgres (or equivalent RDBMS) for More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Peaple Talent
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 GoogleCloudPlatform (GCP) and BigQuery . We are looking for: Demonstrable data engineering/BI skills, with a focus on having delivered solutions in GoogleCloudPlatform (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 ❯
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 GoogleCloudPlatform (GCP) and BigQuery . We are looking for: Demonstrable data engineering/BI skills, with a focus on having delivered solutions in GoogleCloudPlatform (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 ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Adecco
supplier list for this position.KeywordsCloud Engineer, Full Stack Developer, Data Engineer, Java Developer, Node.js, React Developer, Kubernetes, Docker, Red Hat OpenShift, CI/CD, GitHub, ArgoCD, PostgreSQL, AWS, Azure, GCP, DevOps, Agile, Power BI, Data Pipelines, Microservices, Hybrid Working, Security Clearance, Leadership, Management. More ❯
CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases. Infrastructure & cloud : Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration More ❯
CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases. Infrastructure & cloud : Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration More ❯
Extensive experience building and deploying production-grade web and software applications. Strong experience in React, TypeScript, and Python (Java optional). Hands-on experience with cloud-native development (AWS, GCP, or Azure). Understanding of CI/CD, infrastructure as code, and container orchestration. Experience mentoring other engineers and leading by example. Strong understanding of software architecture principles and system More ❯
problem-solving skills and a proactive approach to technical challenges Strong communication and collaboration skills, comfortable working in cross-functional teams Desirable: Exposure to cloud platforms (AWS, Azure, or GCP) Experience with containerisation (Docker, Kubernetes) Familiarity with CI/CD tools and automation pipelines Understanding of infrastructure-as-code tools (Terraform, Ansible, etc.) If you have a background in the More ❯
City of London, London, United Kingdom Hybrid/Remote Options
X4 Technology
problem-solving skills and a proactive approach to technical challenges Strong communication and collaboration skills, comfortable working in cross-functional teams Desirable: Exposure to cloud platforms (AWS, Azure, or GCP) Experience with containerisation (Docker, Kubernetes) Familiarity with CI/CD tools and automation pipelines Understanding of infrastructure-as-code tools (Terraform, Ansible, etc.) If you have a background in the More ❯
GCP DevOps Engineer - AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We're seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure … a hands-on technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on GoogleCloudPlatform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes to support … up monitoring and alerting systems using Cloud Monitoring , Cloud Logging , Prometheus Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise in CI More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Inara
have the ability to work across a range of tooling in the following areas: Programming: with at least one language; Python, Go, Java, Ruby, TypeScript etc Cloud: Either AWS, GCP, Azure Container/Orchestration: Docker, Kubernetes IAC: Terraform, Cloud Formation, CrossPlane, Ansible (Config Mgt) CI/CD: CircleCI, GitHub Actions, Jenkins, etc The Role: Hands-On: The Senior Engineering role More ❯
have the ability to work across a range of tooling in the following areas: Programming: with at least one language; Python, Go, Java, Ruby, TypeScript etc Cloud: Either AWS, GCP, Azure Container/Orchestration: Docker, Kubernetes IAC: Terraform, Cloud Formation, CrossPlane, Ansible (Config Mgt) CI/CD: CircleCI, GitHub Actions, Jenkins, etc The Role: Hands-On: The Senior Engineering role More ❯
Prior experience working with or for a Global Systems Integrator (GSI). Proven experience in pre-sales, solution architecture, or consulting roles. Strong understanding of cloud platforms (AWS, Azure, GCP), DevOps, and microservices. Hands-on experience with observability tools, APM, log analytics, and infrastructure monitoring. Proficiency in scripting or programming languages (e.g., Java, Python, JavaScript). Certifications in Dynatrace, AWS More ❯
PyTorch, JAX, Ray, MLflow, Kubeflow). Proficiency in Python and at least one backend language (e.g., Java, Scala, Go, C++). Strong understanding of cloud ML infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML) and containerized deployments (Kubernetes, Docker). Hands-on experience with data and model pipelines (feature stores, registries, distributed training, inference scaling). Knowledge of observability and More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Anson McCade
approach. Tech Stack You’ll work with modern, scalable technologies and frameworks including: Languages: JavaScript/TypeScript, Java, Frameworks: React, Angular, Node.js, Spring Boot, .NET Cloud Platforms: AWS, Azure, GCP CI/CD: Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Safe and pragmatic use of AI tools throughout the SDLC What You’ll Bring Experience leading high More ❯
approach. Tech Stack You’ll work with modern, scalable technologies and frameworks including: Languages: JavaScript/TypeScript, Java, Frameworks: React, Angular, Node.js, Spring Boot, .NET Cloud Platforms: AWS, Azure, GCP CI/CD: Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Safe and pragmatic use of AI tools throughout the SDLC What You’ll Bring Experience leading high More ❯
experience with Python and TypeScript in production environments. Solid understanding of modern software engineering practices (testing, version control, code review, CI/CD). Experience with cloud environments (AWS, GCP, or Azure). Strong problem-solving skills and a passion for writing great software. Nice to have: Experience with Docker/Kubernetes. Familiarity with serverless or microservice architectures. Interest in More ❯
experience with Python and TypeScript in production environments. Solid understanding of modern software engineering practices (testing, version control, code review, CI/CD). Experience with cloud environments (AWS, GCP, or Azure). Strong problem-solving skills and a passion for writing great software. Nice to have: Experience with Docker/Kubernetes. Familiarity with serverless or microservice architectures. Interest in More ❯
Eligible for DV Clearance (10 years UK residency required) Nice to have Docker/Kubernetes Ansible or similar automation Exposure to ML/AI tooling (AWS/Azure/GCP) Why this role stands out Direct impact on UK National Security Complex engineering challenges — not just maintenance Brilliant internal progression pathways across cloud, cyber, and data Flexible hybrid working + More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Anson McCade
Eligible for DV Clearance (10 years UK residency required) Nice to have Docker/Kubernetes Ansible or similar automation Exposure to ML/AI tooling (AWS/Azure/GCP) Why this role stands out Direct impact on UK National Security Complex engineering challenges — not just maintenance Brilliant internal progression pathways across cloud, cyber, and data Flexible hybrid working + More ❯
the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith More ❯
