10 of 10 Contract Google Kubernetes Engine Jobs

Overview: We are looking for a Senior Cloud Engineer/GCP DevOps Engineer with strong experience in GCP, GKE, Kubernetes, and Istio to support the delivery of a strategic cloud platform enabling next-generation banking services. Key Skills Required: Strong experience with Google Cloud Platform (GCP) and GKE … Expertise in Kubernetes operations in production environments Experience with Service Mesh (Istio/Anthos) Strong CI/CD pipeline development (Harness preferred) Terraform/Infrastructure as Code experience Programming knowledge in Python/Go/Bash Experience with cloud networking, security, and observability tools (Prometheus, Dynatrace, OpenTelemetry) Knowledge ...

Building and maintaining CI/CD pipelines to enable fast, reliable releases Deploying and integrating Vertex AI components for ML/AI solutions Managing GKE (Kubernetes) clusters in production environments Supporting BigQuery, Cloud Build, Harness , and related cloud services Automating operational tasks to remove toil and improve reliability Implementing … DevOps (or similar) Solid coding/scripting skills in Python, Groovy, Bash, or PowerShell Proven experience with Vertex AI integration and deployment Experience with GKE, BigQuery, Cloud Build, Harness Strong understanding of cloud security and networking concepts Experience developing for or administering Kubernetes clusters in production Passion for automation ...

Description: Mandatory Skills: GCP Network GCP Network JD: Must have- Key points to check in the resource Google networking Products, Terraform and Git hub Google Network - Cloud Router, DNS, HA VPN, Dedicated Interconnect, IP Address Management, Private Service Connect, Private Service Access, Google Load Balancer, Service Directory. … knowledge (including Dedicated Interconnect, VPC network peering, Cloud Routers, Firewalls, Google DNS, Cloud NAT, IAM and VPC SC), basic knowledge of connected workloads (GKE, Compute Engine, Cloud SQL, Storage buckets, Google Data AI products, etc.) and corresponding ancillary function such as Identity. Hands on participation in projects ...

workloads. You will work closely with engineering, data, and product teams to embed cost-efficient architectures, enforce financial governance, and implement best practices across Google Cloud environments. Responsibilities Optimise large-scale data analytics workloads via partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies. Tune containerised microservices … hands-on experience in Google Cloud. Strong understanding of GCP data services, including indexing, slots, pruning, partitioning, and clustering. Expert-level Kubernetes & GKE resource tuning. Hands-on experience with Dataflow pipelines and worker optimisation. Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator). Deep understanding of Cloud ...

years of hands-on experience in Google Cloud Strong understanding of GCP Data services (indexing, slots, pruning, partitioning, clustering) Expert-level Kubernetes & GKE resource tuning Hands-on experience with Dataflow job pipelines and worker optimisation Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator) Strong Dataflow processing pipelines … collaborate across engineering, data, and product teams Structured problem-solving mindset Ownership-driven, proactive and independent Experience Required Min 5+ years experience in Google Cloud ...

workflows Automate cloud infrastructure using Infrastructure as Code (Terraform preferred) Build and manage container platforms using Docker and Kubernetes (AKS/EKS/GKE) Implement monitoring, logging, and alerting integrations Collaborate with engineering, SRE, and security teams to embed DevOps best practices Troubleshoot pipeline failures, environment inconsistencies, and integration … pipelines (Azure DevOps, GitHub Actions, GitLab CI, Jenkins) Solid cloud engineering experience (Azure, AWS, or GCP) Deep Infrastructure as Code expertise (Terraform highly preferred) Kubernetes and container orchestration experience Strong scripting skills (Python, Bash, PowerShell) Good understanding of DevSecOps practices (SAST, DAST, secrets management, code scanning) Excellent troubleshooting ...

tooling . Experience with incident, problem, and change management processes. Hands-on experience with Wiz (Wiz Cloud, Wiz Defend) . Strong containerisation expertise ( Docker, Kubernetes ). Experience with Windows and Red Hat Linux environments. Automation experience using Chef or similar configuration management tools . GCP-Focused Experience (Highly Desirable … Cloud Deploy . GCP Networking (VPC, firewall rules, load balancing). Observability and security tooling (Cloud Logging, Monitoring, Security Command Center). Experience with GKE and container orchestration . Desirable Qualifications Experience within financial services or other regulated environments. Bachelor's degree (or higher) in a relevant technical discipline. CISSP ...

Service Mesh exposure preferred Linux scripting (Bash/Python) 2. GCP DevOps Engineer Manchester/Leeds/Halifax (Hybrid) Key skills: GCP platform engineering GKE & production-grade Kubernetes operations Istio/Service Mesh Terraform (Infrastructure as Code) CI/CD pipelines & automation Cloud networking & security Observability (Prometheus/OpenTelemetry … 3. Fullstack DevSecOps Engineer London (Hybrid) Key skills: Strong GCP DevOps architecture GKE, Helm & Harness CI/CD Terraform (IaC) Java/Python/Node API deployment & load balancing Secure deployment for mobile applications 4. Site Reliability Engineer (SRE) Leeds/Bristol/Halifax/Edinburgh Key skills: Hybrid cloud ...

knowledge (including Dedicated Interconnect, VPC network peering, Cloud Routers, Firewalls, Google DNS, Cloud NAT, IAM and VPC SC ), basic knowledge of connected workloads (GKE, Compute Engine, Cloud SQL, Storage buckets, Google Data AI products, etc.) and corresponding ancillary function such as Identity. Scope of services: Hands ...

including GPT-4o/5, Llama3, Claude, Gemini 2.5 Pro, Bard , and enterprise-grade LLM deployments. Implement RAG and CAG architectures using Pinecone, OpenSearch, Google GenAI Search , and custom vector stores. Engineer domain-tuned embeddings using ADA-002, Gecko … Word2Vec, BERT, Sentence Encoder, and topic modelling. AI/ML Pipelines & MLOps Develop scalable AI/ML microservices using Docker, Kubernetes (EKS/GKE), and CI/CD-driven automation. Build and enhance pipelines for model evaluation, bias/drift detection, real-time inference, and monitoring . Optimise inference ...