10 of 10 Google Kubernetes Engine Jobs in the South East

expertise to deliver robust, innovative solutions, from initial strategy to implementation and optimization.Our commitment to innovation and delivering outstanding results was recently celebrated at Google Cloud Next ’26, where Deloitte was honoured with an exceptional six Google Cloud Partner of the Year awards.This recognition underscores our commitment … expertise across a broad range of Google Cloud services, including but not limited to: Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.· Demonstrable experience with AI/ML services on Google Cloud ...

expertise to deliver robust, innovative solutions, from initial strategy to implementation and optimization.Our commitment to innovation and delivering outstanding results was recently celebrated at Google Cloud Next ’26, where Deloitte was honoured with an exceptional six Google Cloud Partner of the Year awards.This recognition underscores our commitment … expertise across a broad range of Google Cloud services, including but not limited to: Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.· Demonstrable experience with AI/ML services on Google Cloud ...

bootstrapping Google Cloud Organisations, hardening with policies and structuring an enterprise’s resource hierarchy Experience with Google Cloud Platform (GCP) services including GKE, Compute Engine, Network Connectivity Center, Cloud SQL, Identity and Access Management (IAM) and VPC Service Controls Experience writing clean, modular Terraform code Experience with … great! Java, which makes up the majority of our backend codebase GCP and AWS — we're cloud-native Container-based architecture Kubernetes (GKE on GCP, EKS on AWS) TeamCity for CI/CD (with multiple production releases per day) Terraform and Grafana RDS and CloudSQL for PostgreSQL Our Interview ...

PowerShell or Python Strong troubleshooting, documentation and communication skills OCI certifications, such as Oracle Cloud Infrastructure Architect Associate or Professional, desirable Experience with Oracle Kubernetes Engine (OKE), Docker and Kubernetes, desirable Experience supporting AI, data, research or high-performance computing workloads, desirable Experience with cloud security, vulnerability … Administration ATS Optimization Keywords Hard Skills Terraform Cloud Networking IAM Scripting (Bash, PowerShell, Python) Monitoring and Logging Vulnerability Management Backup and Disaster Recovery Oracle Kubernetes Engine (OKE) Docker Kubernetes Soft Skills Troubleshooting Documentation Communication Certifications & Qualifications Oracle Cloud Infrastructure Architect Associate Oracle Cloud Infrastructure Architect Professional Industry ...

Engineering & Cloud Computing:** Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). **MLOps …/LLMOps Pipelines:** Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). **Team Leadership & Mentorship:** Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate ...

Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps …/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate ...

Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps …/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate ...

Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps …/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate ...

troubleshooting, documentation and communication skills. Desirable Knowledge, Skills and Experience: OCI certifications, such as Oracle Cloud Infrastructure Architect Associate or Professional. Experience with Oracle Kubernetes Engine (OKE), Docker and Kubernetes. Experience supporting AI, data, research or high-performance computing workloads. Experience with cloud security, vulnerability management and compliance ...

architecting, maintaining, and building efficient, cost-effective scalable infrastructure. A solid understanding of DevOps principles and methodologies. Experience with GCP-specific Kubernetes/GKE at scale, especially with GPU-based workloads. Experience with enforcing security best practice in line with compliance requirements. Experience with CNCF tooling, such as ArgoCD ...