12 of 12 Contract Google Kubernetes Engine Jobs

identity, access management and secure platform engineering. Key Skills & Experience Required: Strong DevOps engineering background Proven experience working within Google Cloud Platform (GCP) GKE (Google Kubernetes Engine) Infrastructure as Code using Terraform (essential) Pub/Sub API Gateway (API GW) ETL processes Identity & Access Management (IDAM ...

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 ...

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 ...

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 ...

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 ...

/Azure/GCP) including services, networking, and security signals. Enable deep observability for containerized and Kubernetes environments (EKS/AKS/GKE, OpenShift). Optimize telemetry ingestion, sampling, and cost management. 4. Automation & Integration: Build automation using Python, REST APIs, Terraform, or CI/CD tools for Datadog … Python, .NET, Node.js, or similar languages. Experience with OpenTelemetry and distributed tracing. Strong understanding of cloud-native architectures and microservices. Hands-on experience with Kubernetes and container observability. Working knowledge of CI/CD pipelines, Git, and DevOps practices. Experience: 6-10+ years of experience in software engineering ...

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 ...

fully automated platform services that support our customers' digital transformation strategies. Key Responsibilities: Build, run, and continuously improve lab and production platforms across GCP (GKE/GKE On-Prem/GDC) and VMware Cloud Foundation ( VCF ). Operate Kubernetes clusters at scale, including cluster lifecycle, upgrades, Day 0/ ...

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 ...

Design, curate and maintain scalable GCP Cloud Products using Infrastructure as Code (IaC). Develop automated workflows and tooling using Python Scripting. Work with GKE, containers, Istio service mesh and cluster management. Audit, optimise and refactor existing Terraform modules, state files and architectures. Migrate Legacy configurations into unified, reusable … products, services and infrastructure. Solid Python Scripting and automation capabilities. Experience with Harness, Jenkins, GitHub or similar CI/CD tools. Expertise in GKE, Containers, Istio Service Mesh . Contract Details: Duration: 6 months (with potential extension) Day Rate: £500 (Inside IR35) Location: Multiple Locations to choose - Hybrid Start Date ...

that are fully owned and managed within the platform. Programme Focus The programme focuses on: Establishing a robust, secure, and scalable data architecture on Google Cloud Platform (GCP) Creating in-house capabilities for data ingestion, transformation, storage, and consumption Enabling efficient extraction and integration of risk-related datasets Supporting … alerting Integrating Looker and enabling reporting for end-users within general guardrails Your Profile Essential Skills/Knowledge/Experience Python GCP Services GCS, GKE, BigQuery PySpark, DBT IAM Role & Groups CI/CD Tools Jenkins, Harness or equivalent Design & Architecture Data product design with in guard rails and estimating ...