101 to 125 of 201 Permanent Google Kubernetes Engine Jobs

high performance and ownership. Infrastructure Ownership: Drive the strategic direction for our infrastructure and platform ensuring robust management of our services like Kubernetes (GKE) clusters. Focus on continuous improvement, operational excellence, and innovation. Champion SRE Culture: Own availability and embed SRE principles across the organization, including defining SLOs, SLAs … teams in the infrastructure and SRE domains, with a track record of scaling platforms and people. Technical Expertise: Several years of deep expertise in Google Cloud Platform (GCP), Kubernetes, and Infrastructure-as-Code (Terraform/Terragrunt, Crossplane), with GitOps workflows using tools like ArgoCD. Reliability & Architecture: Solid understanding ...

Foundry Platform, as well as managing an internal database platform that runs over 1,200 database servers.Out tech stack focuses on: Kubernetes, Kubevela, GKE Grafana LGTM stack, Sentry, Open Telemetry Concourse, GitHub Actions Terraform, Ansible Postgres, Mongo, MySQL GCP, AWSRole Responsibilities: Meet your delivery and participation responsibilities … understanding of its language features and idiomatic practices. You can demonstrate your experience with some of the core technologies in use (Kubernetes, Kubevela, GKE, EKS, Grafana LGTM stack, Sentry, Open Telemetry, Concourse, GitHub Actions, Terraform, Ansible, Postgres, Mongo) You have experience in building APIs, exposing components in a programmable ...

enforcing automated security guardrails and policies across our entire cloud estate and CI/CD pipeline. GCP Security Focus: Hardening and securing our Google Cloud Platform environment, including IAM policies, network security and resource configuration management. Compliance Automation: Working closely with compliance and governance teams to translate requirements into … providing patterns and upskilling engineers to provide a secure API interface. Kubernetes Security Proficiency: Expert knowledge of deploying, operating, and hardening Kubernetes (GKE) clusters, including network policies, container runtime security, and secrets management. Infrastructure as Code (IaC): Solid skills in writing, securing, and testing configuration using Terraform ...

create reusable, versioned modules and machine images (Packer) for cloud workloads. Core Cloud Architecture & Operations: Provide deep technical expertise across all GCP services (GKE, Compute Engine, Cloud Storage, BigQuery, IAM, Cloud Functions, etc.) and good working knowledge on core AWS services (EC2, ECS/… scripting/programming language (Python, Bash, or Go). Containerization & Orchestration: Solid hands‐on experience with Docker and managed Kubernetes engines (GCP GKE and AWS EKS). Observability Tools: Hands‐on experience with enterprise observability tools (Datadog preferred). Networking & Security: Strong understanding of multi‐cloud networking concepts ...

Strong programming skills in Python, Go, or Node.js for API and microservice development. Experience designing and deploying cloud-native APIs (Cloud Run, Cloud Functions, GKE). Deep understanding of event-driven architectures , Pub/Sub, message processing, and workflow automation. Strong knowledge of OAuth2, OIDC, JWT, SAML , and identity federation … Professional Cloud Security Engineer or Cloud Architect certification. Experience with additional identity providers (Okta, Azure AD, Ping Identity). Familiarity with Kubernetes (GKE RBAC + workload identity). Experience using Secret Manager, Vault, or other secrets management tools. Knowledge of compliance frameworks (SOC2, ISO 27001, PCI, HIPAA). ...

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 ...

maintain Google Cloud infrastructure using Infrastructure as Code (primarily Terraform), ensuring repeatable and version‐controlled environments Build and manage containerised workloads using Docker, GKE, and Cloud Run, alongside production‐grade CI/CD pipelines Design, build, and maintain data and analytics platforms using services such as BigQuery, Dataflow, Dataproc … Google Cloud Platform across infrastructure, data, and application domains Strong hands‐on experience with Infrastructure as Code (Terraform), containerisation (Docker, Kubernetes/GKE), and CI/CD tools (e.g. Jenkins, Cloud Build, GitHub Actions, GoCD) Solid understanding of cloud networking and security fundamentals, including VPCs, IAM, firewall rules ...

/CD pipelines Provide technical support to development teams to enable the efficient delivery of high‐quality services and applications Build and maintain Kubernetes clusters on‐prem and in cloud Access and IAM management in Google Cloud, Looker, BigQuery, etc. Database management (MySQL, PostgreSQL, MongoDB) Performance monitoring … infrastructure as code Qualifications and Skills Hands‐on experience with on‐prem sharded MongoDB cluster Extensive experience building, managing, and scaling Kubernetes clusters (GKE, manual Kubernetes, etc.) Extensive experience designing and building high‐availability, resilient infrastructure Experience setting up and maintaining monitoring, alerting, log collection (rsyslog, Grafana, Prometheus ...

pipelines, and providing technical support to development teams to enable the efficient delivery of high-quality services and applications. Key Deliverables Build and maintain Kubernetes clusters on-prem and in cloud Access and IAM management in Google Cloud, Looker, BigQuery etc Database Management (mysql, psql, mongo) Performance monitoring … code Qualifications and Skills Hands-on experience with on-prem sharded mongo cluster Extensive experience in building, managing, scaling Kubernetes clusters (GKE, manual Kubernetes, etc.) Extensive experience in designing and building high availability, resilient infrastructure Experience in setting up and maintaining monitoring, alerting, log collection (rsyslog, Grafana, Prometheus ...

Senior Technical Specialist - DevOps, Python, Kubernetes United Kingdom City Of London, England Job Summary Strong experience in containerization using Docker and deploying cloud-native applications on Kubernetes/OpenShift platforms .Experience in building and managing container-based microservices architectures .Knowledge of container security, image scanning, secrets management …/CD Tools Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CDExpert Containerization Docker, PodmanAdvanced Container Orchestration Kubernetes (AKS/EKS/GKE), OpenShiftAdvanced Infrastructure as Code (IaC) Terraform, Bicep, ARM Templates, CloudFormationAdvanced Configuration Management Ansible, Chef, PuppetIntermediate to Advanced Source Control Git, Azure Repos, GitHub, BitbucketExpert Scripting & Automation ...

Event-driven architecture, and API Management. Strong knowledge of IAM concepts, Forgerock, authentication/authorization mechanisms, and security best practices. Experience with Kubernetes (GKE), Docker, Terraform, and CI/CD pipelines. Strong problem-solving, communication, and leadership skills. Experience with GraphQL, gRPC, and Service Mesh (Istio/Linkerd). ...

Engineer (SRE) III – Platform Engineering & Systems Reliability The Role: CME Group is seeking a Site Reliability Engineer (SRE) III to engineer reliability for our Google Cloud (GCP) infrastructure, Middleware Platform Engineering team, and core technology foundations powering our Clearing, Risk, and derivatives applications. In this role, you will help … Java, or Bash to construct production-grade tooling. Cloud Native & Systems Fundamentals: Proficiency with Linux-based systems, distributed systems, containerization (Kubernetes/GKE), and public cloud platforms (GCP/GCE). Infrastructure as Code (IaC): Understanding of modern CI/CD patterns and IaC tools such as Terraform, Ansible ...

platform estate Write automation and integrations to reduce manual toil Manage infrastructure as code with Terraform; containerise services with Docker on Kubernetes (GKE) hosted on GCP Participate in on-call services as a technical escalation point Build dashboards and alerts to monitor pipeline reliability Coach and mentor colleagues across ...

platform estate Write automation and integrations to reduce manual toil Manage infrastructure as code with Terraform; containerise services with Docker on Kubernetes (GKE) hosted on GCP Participate in on-call services as a technical escalation point Build dashboards and alerts to monitor pipeline reliability Coach and mentor colleagues across ...

platform estate Write automation and integrations to reduce manual toil Manage infrastructure as code with Terraform; containerise services with Docker on Kubernetes (GKE) hosted on GCP Participate in on-call services as a technical escalation point Build dashboards and alerts to monitor pipeline reliability Coach and mentor colleagues across ...

platform estate Write automation and integrations to reduce manual toil Manage infrastructure as code with Terraform; containerise services with Docker on Kubernetes (GKE) hosted on GCP Participate in on-call services as a technical escalation point Build dashboards and alerts to monitor pipeline reliability Coach and mentor colleagues across ...

platform estate Write automation and integrations to reduce manual toil Manage infrastructure as code with Terraform; containerise services with Docker on Kubernetes (GKE) hosted on GCP Participate in on-call services as a technical escalation point Build dashboards and alerts to monitor pipeline reliability Coach and mentor colleagues across ...

adoption, reuse, and measurable outcomes. Practical cloud native experience Preferred qualifications, capabilities, and skills Experience in Infrastructure Architecture designs Experience in AWS EKS, GCP GKE ecosystems a plus Knowledge of industry-wide technology trends and best practices Knowledge of multiple Cloud Platforms Proficiency in database technology such as Oracle/ ...

adoption, reuse, and measurable outcomes. Practical cloud native experience Preferred qualifications, capabilities, and skills Experience in Infrastructure Architecture designs Experience in AWS EKS, GCP GKE ecosystems a plus Knowledge of industry‐wide technology trends and best practices Knowledge of multiple Cloud Platforms Proficiency in database technology such as Oracle/ ...

GitLab CI, including pipeline authoring and release automation Demonstrated experience with containerization and Kubernetes, including Helm, managed Kubernetes services (AKS/GKE), Traefik ingress, and container image build and registry workflows Hands-on experience operating production workloads in public cloud (Microsoft Azure and Google Cloud), including compute … Builds and maintains CI/CD pipelines for infrastructure and platform changes, using GitOps workflows for deployment and drift detection Operates and upgrades managed Kubernetes platforms, including cluster lifecycle, autoscaling, ingress, and workload onboarding Owns vulnerability remediation and patching for assigned platforms against defined SLAs, coordinating with security ...

systems, infrastructure and applications through automation. Participate in periodic on-call duties. Minimum Qualifications In depth hands-on experience operating managed Kubernetes (GKE and/or EKS) in a public cloud, with experience scaling distributed systems. Experience across multiple public clouds (GCP and AWS) strongly preferred. Strong experience with ...

VNETs/VPCs, routing, DNS, load balancing, firewalls). Deep knowledge of infrastructure-as-code and automation tooling. Experience with container platforms (AKS, EKS, GKE, Kubernetes) and serverless architectures. Strong background in identity and access management (Azure AD, IAM, RBAC). Proven experience building scalable, resilient, and secure cloud ...