19 of 19 Google Kubernetes Engine Jobs in Central London

for leading the design, development, and deployment of GCP-based solutions. This position requires a highly skilled individual with expertise in cloud architecture, infrastructure management, and application development using Google Cloud technologies. The role involves collaborating with cross-functional teams to deliver scalable and efficient cloud solutions that meet business requirements. Key Responsibilities Lead the design and implementation of … App/Data migrations engagements. Cloud Platforms and Technology Experience Core Skills: GCP Foundation - VPC, Networking, Routing, Org Policies, IAM, Storage, Compute G Cloud CLI, VPC, IAM, GCE, GCS, GKE, Pub Sub, Cloud Run, Cloud SQL, Big Query, Dataflow, Bigtable, Fire store GCP – Networking, Security tool/Best Practices Observability - Operations suite, Logging, Monitoring, Alerting. Additional Skills: Good understanding of … Scripting, Automation, Ansible, Networking, Security. Hands-on experience with DevOps Principles and Tools. Hands-on with Terraform, Packer, Git, GitHub, Gitlab, Jira & Confluence. Containerisation/Virtualisation - Docker/Podman. Kubernetes - In-depth experience to Install, configure, monitor cluster. Hands-on with Kubectl cli, Helm, Nginx Ingress, Istio CI/CD - GitHub Actions, Gitlab CI, Jenkins Networking - TCP, UDP, IP More ❯

Senior DevOps Engineer About us Footprint IT Solutions is an innovative technology consultancy established in 2008. Our expertise lies in Kubernetes platform engineering, cloud architecture, automation, system design, networking, and CI/CD-driven software development. This is a full-time, hybrid role for a Senior DevOps Engineer. £70-80k Depending on experience + benefits package. Please note … You are proficient in creating and operating CI/CD pipelines to deliver incremental change and improvement. You tackle recurring cloud challenges such as cost optimisation, security and scaling. Kubernetes is at the forefront of everything we do. You should be comfortable provisioning and configuring clusters in the cloud, on-premise and at the edge. You will deploy workloads … skills We are multi-cloud, however most of our work is with AWS and GCP, and you should have experience of working with the following cloud services: ECS, EKS, GKE, ECR, GAR Lambda, Step Functions, Cloud Run EC2, VPC and Load Balancing S3 and GCS RDS and Cloud SQL IAM AWS Organizations, GCP Folders and Projects What we offer We More ❯

DevOps Engineer - Ab Initio GCP-GKE Platform 8 Month Contract Hybrid Our retail client is looking for a DevOps Engineer to join them on a 8-month contract basis. You will be a foundational member of their team, taking ownership of engineering and operating their business-critical Ab Initio data integration platform running natively on Google Cloud Platform (GCP … within Google Kubernetes Engine (GKE). This is a hands-on role where you will blend deep Ab Initio platform expertise with modern DevOps practices to build, manage, automate, and optimize this essential service. You will ensure its reliability, scalability, and efficient operation, directly enabling our data integration capabilities. Accountabilities: Architect, deploy, configure, and manage the core … integration/automation). Implement and manage robust monitoring, logging, and alerting for the Ab Initio pMonitoring, Cloud Logging). Integrate the Ab Initio platform with GCP services like GKE, CloudSQL, IAM, and networking components. Troubleshoot and resolve platform-level issues related to performance, stability, and configuration within the GCP/GKE environment. Ensure the security, reliability, and scalability of More ❯

our systems can handle the demands of training cutting-edge AI models and serving millions of inference requests globally. Key responsibilities include: Architecting and managing our cloud environment on Google Cloud Platform (GCP) using Infrastructure as Code (IaC) with Terraform . Designing, building, and maintaining our CI/CD pipelines using GitHub Actions to ensure smooth and reliable software … delivery. Containerizing applications with Docker and deploying them as microservices on serverless platforms like Google Cloud Run and orchestrators like GKE. Writing automation scripts and infrastructure-related code, primarily in Python . Ensuring the high availability, performance, and security of our production systems that support everything from data processing to model deployment. Collaborating closely with AI and backend engineers … Site Reliability Engineering (SRE) role. Strong proficiency with Python for scripting and automation. Extensive hands-on experience with Google Cloud Platform (GCP) and its core services (Cloud Run, GKE, IAM, Cloud Storage). Expertise in writing production-grade Infrastructure as Code using Terraform . Deep understanding of containerization with Docker and container orchestration with Kubernetes. Proven experience designing and More ❯

Responsibilities: • Architect secure, scalable, and resilient cloud infrastructure across public, private, and edge environments • Lead end-to-end cloud solution delivery using services such as AKS/EKS/GKE, serverless, Kubernetes, and PaaS/IaaS layers • Collaborate with multidisciplinary squads on DevSecOps, SRE, and Agile delivery practices • Partner with clients to define technical roadmaps, service models, and adoption … least one major hyperscaler (Azure/AWS/GCP) • Strong technical background in IaaS, PaaS, networking, security, and storage • Expertise in Kubernetes and container orchestration technologies (AKS, EKS, GKE, OpenShift) • Experience leading hybrid or edge deployments (e.g. Azure Stack, AWS Outposts) • Proficient in Agile methodologies and DevSecOps/SRE tooling • Excellent stakeholder management and technical leadership skills Desirable: • Cloud More ❯

Social network you want to login/join with: Sr. Site Reliability Engineer (Kubernetes), london (city of london) col-narrow-left Client: VeeAR Projects Inc. Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Minimum Qualifications: • 7+ years … and leading a team of engineers in their respective timezones • Deep expertise in Kubernetes, with hands-on experience using platforms such as Google Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service (EKS) • Proficient in designing, developing, and releasing code in languages such as Python, Go, or Rust • Practical experience with object storage technologies, including Amazon … S3 or Google Cloud Storage (GCS) • Strong background in designing and troubleshooting complex networking issues in both public and private cloud infrastructures • Solid understanding of Linux internals, standard networking protocols, and distributed systems architecture Preferred Qualifications: • Proven drive to automate manual operations and enhance processes through continuous iteration • Strong understanding of best practices for deploying large-scale, distributed applications More ❯

with short, medium, and long-term changes, with a key focus on public cloud onboarding. The platform is a Greenfield build using modern technologies such as Java, Spring Boot, Kubernetes, Kafka, MongoDB, RabbitMQ, Solace, Apache Ignite. The platform runs in a hybrid mode both on-premises and in AWS utilising technologies such as EKS, S3, FSX. Objectives Steering platform … onboarding into AWS and Google Cloud Provide solutions in terms of performance, robustness and cost-effectiveness Identifying and defining necessary system enhancements to improve current processes and architecture Hands-on coding of fixes, features, and improvements Conduct Code Reviews from other team members and giving robust critique/feedback Mentoring/coaching junior developers on coding/architecture approaches … remote debugging of services deployed to K8s Experience and good understanding of core technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, CloudStorage, PubSub, Filestore Apply for more details and full job specifications. Hybrid working circa 3 days a week in the office. McGregor Boyall is an equal opportunity employer and does More ❯

with short, medium, and long-term changes, with a key focus on public cloud onboarding. The platform is a Greenfield build using modern technologies such as Java, Spring Boot, Kubernetes, Kafka, MongoDB, RabbitMQ, Solace, Apache Ignite. The platform runs in a hybrid mode both on-premises and in AWS utilising technologies such as EKS, S3, FSX. Objectives Steering platform … onboarding into AWS and Google Cloud Provide solutions in terms of performance, robustness and cost-effectiveness Identifying and defining necessary system enhancements to improve current processes and architecture Hands-on coding of fixes, features, and improvements Conduct Code Reviews from other team members and giving robust critique/feedback Mentoring/coaching junior developers on coding/architecture approaches … remote debugging of services deployed to K8s Experience and good understanding of core technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, CloudStorage, PubSub, Filestore Apply for more details and Full Job specifications. Hybrid Working Circa 3 Days a week in office. Additional Details Seniority level: Director Employment type: Full-time Job More ❯

required to be on-site in London 1-2 days a week *Strong Kubernetes is a must* Techstack: Java AWS/GCP CI/CD Kubernetes, EKS, GKE Microservices Springboot If this is your stack and you’re available, apply with your CV and we can discuss More ❯

implement scalable, secure, and resilient cloud solutions across AWS, Azure, or GCP. Define and execute Infrastructure as Code (IaC) strategies using Terraform, Ansible, and CI/CD pipelines. Oversee Kubernetes-based architectures Implement cloud security best practices, identity access management, and governance models. Drive DevSecOps adoption Work with senior stakeholders to align cloud strategy Optimize cloud environments using FinOps … in AWS, Azure, or GCP cloud services. Leadership experience, with a proven ability to guide teams and influence stakeholders. Deep technical knowledge of Terraform, Ansible, Kubernetes (AKS, EKS, GKE, OpenShift), and CI/CD pipelines. Strong understanding of cloud networking, API integration, and security controls. Experience working in Agile, DevSecOps, and Site Reliability Engineering (SRE) environments. Cloud certifications in More ❯

working with cutting-edge tech - this one's for you. What Youll Do Own the design and build of GCP infrastructure from the ground up Lead platform projects across GKE, Terraform, CI/CD, and more Automate everything: deployments, monitoring, scaling, and security Collaborate with DevOps, data, and security teams to deliver slick cloud solutions Push forward innovation and best … expert for GCP tools, performance, and reliability What You Bring 5+ years in cloud or platform engineering (with a strong GCP focus) Confident designing cloud-native systems, especially with Kubernetes & Terraform Scripting chops in Python, Go, or Bash Real-world GitOps experience (GitLab CI, ArgoCD, Helm, etc.) Strong understanding of IAM, VPCs, networking, and cloud security A love for More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

GCP & AWS RDS) : For application configuration and schema management DynamoDB (AWS) : NoSQL data store for high-throughput eligibility and state data Commercial NBA App (containerised microservice in ECS/GKE): Hosts decisioning logic NBA Orchestrator : Coordinates inbound/outbound flows and manages API calls across Pega, Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + More ❯

to the team as necessary. Your Profile Essential experience: Experience in Python and Spark development. Experience in Google Cloud tech stack: Cloud Run, Big Query, Cloud Functions, PubSub, GKE CI/CD pipeline. The ability to design the efficient solutions, make them go through review process and secure approvals for actual implementation. A team player Desirable knowledge & experience: Hands More ❯

and LDAP schemas Connector development, resource configuration, and SDK usage Development of user journeys, workflows, and IDM components Integration with reporting platforms and backend systems Cloud setup experience (Docker, GKE, Terraform) Understanding of authentication protocols, OAuth, certificates Qualifications: 10-12 years of IAM implementation experience Strong communication skills Customer-facing experience CISSP certification (bonus) Willingness to travel Technical Skills: Operating More ❯

use AI tools like Copilot, Cursor, or Devin in your daily work 7–10 years of engineering experience with a strong DevOps focus Solid experience with Kubernetes on GKE and managing production infrastructure Proficient in Google Cloud Platform Familiarity with Go and backend service architecture Strong experience with ScyllaDB or Cassandra Comfortable building and evolving internal DevOps tooling More ❯

AI-driven agent systems. This role is responsible for designing scalable and intelligent cloud-native architectures that enhance personalization, product discovery, and operational efficiency for major retail customers using Google Cloud technologies. Key Responsibilities: • Architect retail-centric solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement. • Implement and optimize vector search capabilities (e.g., ScaNN, FAISS) for … AI agent frameworks (e.g., Dialogflow, LangChain, or custom agent orchestration solutions). • Strong understanding of retail data ecosystems, POS integration, and customer engagement analytics. • Strong hands-on experience with Google Cloud Platform (GCP) AI/ML services, especially Vertex AI (Workbench, Training, Prediction, Pipelines, Feature Store). • Proficiency in Python and strong experience with AI/ML frameworks (e.g. … Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills, with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with More ❯

This is a remote position based in the UK. The ideal candidate will have strong experience with: Google Cloud Platform (certifications are a plus) DevOps tools such as GKE, Compute Engine, CloudBuild, Terraform Business Development including RFPs and Bids Experience working with global clients, especially US timezones The role offers: Fully remote working Up to 15% bonus Private More ❯