1 to 25 of 36 Google Kubernetes Engine Jobs

and services. Participate in code reviews and contribute to continuous improvement across the team. Required Skills Proficiency in Python and unit testing frameworks (e.g., pytest ). Strong experience with Google Cloud Platform (GCP) , including Cloud Run and core web infrastructure. Solid understanding of Infrastructure-as-Code tools (e.g., Terraform ) and modular development best practices. Familiarity with agile methodologies and … application architecture. Backend development using FastAPI . Knowledge of AI/ML techniques , especially NLP and language models. Experience with Kubernetes and Google Kubernetes Engine (GKE) . Exposure to frontend development (e.g., React ) is a plus. Please apply with your updated CV if this opportunity aligns with your experience and career goals. More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯

GCP DevOps Engineer – (GCP, Google Cloud Platform, DevOps, CI/CD, GKE, Cloud Run, Cloud Build, Architecture, SRE, Kubernetes, Linux, Docker, Google) – Permanent – London/Hybrid Charles Simon Associates are recruiting for a GCP DevOps Engineer in London on an exclusive basis for our rapidly scaling business. Location: London/Hybrid Salary: Flexible, Dependant on Experience Are … . For clarity, you must be working on GCP currently to be right for this role. What You’ll Be Doing: Designing and implementing GCP infrastructure (Compute Engine, GKE, Cloud Run, Pub/Sub, Cloud Functions, BigQuery, etc.). Building CI/CD pipelines using tools like Cloud Build, GitHub Actions, or Jenkins. Automating infrastructure with Terraform (or equivalent … on experience with Google Cloud Platform (must have). Strong background in DevOps/SRE/Cloud Engineering. IaC expertise (Terraform preferred). Experience with Kubernetes/GKE and containerisation (Docker). Familiarity with CI/CD pipelines and tooling. Solid knowledge of Linux, networking, and cloud security best practices. Experience with scripting languages (Python, Bash, Go). More ❯

and maintain a Counterintelligence (CI) Polygraph. Required Qualifications: Shall have 5 or more years of proven hands-on experience engineering and implementing cloud solutions (e.g., Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure) with demonstrated proficiency in the following cloud areas, strategy development, networking, security, disaster recovery & business continuity planning, and automation and orchestration. Shall have … years of proven hands-on experience engineering and implementing enterprise-level container orchestration platform solutions such as Kubernetes, OpenShift, Amazon EKS, Azure AKS, and/or Google GKE, with demonstrate proficiency in the following container areas; cluster management, deployment and automation, monitoring and logging, security, troubleshooting and performance optimization. Excellent analytical, technical, communication, planning, presentation and organizational skills … and orchestration. Proven hands-on experience engineering and implementing enterprise-level container orchestration platform solutions such as Kubernetes, OpenShift, Amazon EKS, Azure AKS, and/or Google GKE, with demonstrate proficiency in the following container areas; cluster management, deployment and automation, monitoring and logging, security, troubleshooting and performance optimization. Skills & Technology Used: Excellent analytical, technical, communication, planning, presentation More ❯

other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Cloud experience (e.g. Google Cloud and cloud run essential) including core web application infrastructure is essential CSED backend Demonstrated experience of Python backend development (e.g. using FastAPI) React frontend experience ideally Strong skills … software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often Hosting: GCP (GKE and Cloud Run) essential Deployment: Terraform and GitHub Actions - essential Agile Methodology Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological … genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP Experience with Kubernetes and Google Kubernetes Engine would be an advantage More ❯

The Judge Group is seeking a Google Cloud Engineer to support a classified customer in Washington, DC. This position is fully onsite. For immediate consideration email your resume to . - Robbie Kissinger Cybersecurity Engineer - Google Cloud Focus Location: Washington, DC (Onsite, 5 days/week) Security Clearance Required: Active Secret (Top Secret preferred) About the Role We are … seeking a highly skilled Cybersecurity Engineer with deep expertise in cloud security and Google technologies. This role is fully onsite in Washington, DC and requires an active Secret clearance. You'll be responsible for securing cloud infrastructure, managing identity and access, and implementing security best practices across Google Workspace and Google Cloud Platform (GCP). Minimum Qualifications … cybersecurity engineering, cloud security, or IT security. Hands-on experience with: Google Admin Console, Security Center, Google Vault, Cloud Identity GCP services: Compute Engine, VPC, IAM, GKE, BigQuery Proficiency with infrastructure-as-code tools: Terraform, Ansible, Deployment Manager. Familiarity with CI/CD tools: GitLab CI, Jenkins, Cloud Build. Strong background in Linux systems, networking, and containerization More ❯

Social network you want to login/join with: Google Cloud Architect Role: Google Cloud Architect Location: London Career Level: Associate Manager Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of … clients and communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Role Description We are seeking a skilled and experienced Google Cloud Technical Architecture Associate Manager to join the Google Cloud group within Accenture Technology in the UK. The group engineers and implements infrastructure, tools, access, and telemetry for … UK At least one Google Cloud Professional level certification Expertise in a wide range of Google Cloud products and services (Engine, App Engine, Cloud Storage, GKE, etc.) and broader IaaS solutions (Kubernetes, systems virtualization, etc.) Experience architecting and engineering technical cloud-based solutions to meet business and non-functional requirements Hands-on experience creating comprehensive More ❯

Job Description We are seeking a highly skilled Cloud Architect with deep expertise in both Microsoft Azure and Google Cloud Platform (Google Cloud Platform) to lead enterprise-scale cloud transformation initiatives. The ideal candidate will have proven experience in designing, implementing, and optimizing secure, scalable, and cost-effective multi-cloud architectures while collaborating with cross-functional stakeholders. Key … Responsibilities Lead the design and architecture of hybrid/multi-cloud solutions across Azure and Google Cloud Platform. Drive cloud migration strategies from on-premises to Azure and Google Cloud Platform, including application modernization and re-platforming. Define reference architectures, cloud landing zones, and governance models ensuring compliance with industry standards. Architect and implement secure and scalable network … years of IT experience with 5+ years in cloud architecture roles. Strong hands-on expertise in Azure (IaaS, PaaS, AKS, Functions, Logic Apps, VNets, ExpressRoute) and Google Cloud (GKE, Compute Engine, Cloud Functions, BigQuery, Dataflow, Pub/Sub, Spanner, IAM, VPC Proven track record in cloud migrations, modernization, and multi-cloud strategy. Expertise in Kubernetes, containers, and More ❯

dynamic people to join our team. Want to join us? Your new role Overleaf is a scaleup and social enterprise that builds modern collaborative authoring tools for scientists - like Google Docs for Science. We build an online, real-time collaborative editor for papers, theses and other documents written in the LaTeX markup language. We have over 21 million registered … of these areas, unfortunately your application will not be considered. What you'll be doing Our backend stack is mainly Node.js, Express, MongoDB and Redis. We are hosted on Google Cloud Platform, mainly in Google Kubernetes Engine. Our frontend stack is React with TypeScript. And we're in large part open source. We deploy 2-6 times … be fine): Experience in some of the other key technologies we use (Linux, Docker, Prometheus, Express, MongoDB, Redis, PostgreSQL). Experience integrating large scale pub-sub systems such as Google Cloud Pub/Sub. We expect you to: Work with us full time. Have strong written and verbal communication in English. Be available during core hours (1400 to More ❯

and self-service tooling to remove manual effort. Deliver full-stack solutions - from engaging front-end interfaces to scalable back-end services. Architect and deploy microservices in GCP/GKE , driving automation and resilience. Manage infrastructure through Terraform and other IaC tools. Work across Linux environments with VSCode. Apply best practice principles (PEP8, SOLID, SDLC, CI/CD, DevOps). More ❯

for Architectural Frameworks such as TOGAF, Archimate, Software patterns or similar. Experience of Cloud patterns and associated technologies, preferably GCP, CI/CD (Jenkins, Harness), Containerisation, Orchestration, IAM, VPC, GKE Exposure and familiarity with monitoring and logging tools such as Dynatrace and Splunk. A solid understanding of networking, firewalls, load balancing, and cloud security patterns. Experience of API Management tools More ❯

and distributed system design for one of the most ambitious financial technology projects in the world. Why apply? Greenfield engineering - modern tech stack: Java, Spring Boot, Kubernetes (EKS & GKE), Kafka, Apache Ignite, MongoDB, RabbitMQ, Solace Massive scale - billions of risk calculations per day across trading desks globally Impact & visibility - shape the technical direction while mentoring global engineering teams Hybrid … employee discounts, and more) What you'll do Lead technical direction of a next-gen cross-asset risk platform Drive cloud adoption (AWS & GCP), with hands-on focus on Kubernetes and distributed systems Set coding standards, architecture patterns, and best practices across a global engineering team Work with senior stakeholders, cloud vendors (AWS, Google) , and quant teams to … guide developers while staying hands-on in the codebase What we're looking for Expert knowledge of Java/JVM/Spring Boot Deep experience with Kubernetes (EKS, GKE) and cloud platforms (AWS, GCP) Proven background in distributed systems, event-driven architecture, and high-performance platforms Strong leadership skills - able to influence, mentor, and set technical strategy Experience with More ❯

and distributed system design for one of the most ambitious financial technology projects in the world. Why apply? Greenfield engineering - modern tech stack: Java, Spring Boot, Kubernetes (EKS & GKE), Kafka, Apache Ignite, MongoDB, RabbitMQ, Solace Massive scale - billions of risk calculations per day across trading desks globally Impact & visibility - shape the technical direction while mentoring global engineering teams Hybrid … employee discounts, and more) What you'll do Lead technical direction of a next-gen cross-asset risk platform Drive cloud adoption (AWS & GCP), with hands-on focus on Kubernetes and distributed systems Set coding standards, architecture patterns, and best practices across a global engineering team Work with senior stakeholders, cloud vendors (AWS, Google) , and quant teams to … guide developers while staying hands-on in the codebase What we're looking for Expert knowledge of Java/JVM/Spring Boot Deep experience with Kubernetes (EKS, GKE) and cloud platforms (AWS, GCP) Proven background in distributed systems, event-driven architecture, and high-performance platforms Strong leadership skills - able to influence, mentor, and set technical strategy Experience with More ❯

have senior software engineering experience building and operating hybrid-infrastructure developer platforms (private and commercial cloud infrastructure) at an Individual Contributor Level. A successful candidate has prior experience deploying Kubernetes in multiple ways and supporting automation of platform management at the enterprise scale. The engineer shall have experience developing platform APIs that make common software operations scalable and repeatable. … to interact with various stakeholders, internal and external to the organization. - Architect, develop and implement end-to-end cluster and application lifecycles - Work with clients architecting, developing and implementing Kubernetes or Docker solutions both in the - Cloud and on-premises - Develop and implement CI/CD pipelines - Implement GitOps for Software Delivery What we are looking for: - 5+ years … of hands-on experience in platform engineering or a related technical field - In-depth experience creating and maintaining Kubernetes clusters through both managed services (e.g., AKS, EKS, or GKE) and self-managed installers (e.g., EKS-A, RKE2, or kubeadm) - Extensive experience managing compute resources for Kubernetes clusters (CSI solutions, ResourceQuotas, etc.) - Working experience managing network resources for Kubernetes More ❯

and management of Middleware applications such as Weblogic, Apache Tomcat, Oracle REST Data Services, and web-tier applications like NGINX, Oracle HTTP Server or Apache HTTP Server in Oracle Kubernetes Engine (OKE) Collaborate with the AppArch and Middleware & DevOps teams to ensure seamless integration of cloud services with on-premises environments Work closely with application development teams to … Experience with deploying and managing cloud-based services such as Compute, Storage, Networking, Database, and Security Hands-on experience with Cloud Native Applications (CNAs) and containerization technologies such as: Kubernetes (deployment, scaling, and management) Docker (containerization, image management, and orchestration) Strong knowledge of middleware applications such as Weblogic, Apache Tomcat, APEX, REST Data Services, API Gateway, and other web More ❯

entire DevSecOps pipeline tech stack • Must have an active Secret clearance • Deep expertise in GitOps (Argo CD/Flux), IaC (Terraform), and container orchestration (Kubernetes/EKS/GKE/AKS) at scale; CI/CD (GitLab/Pipelines), IaC (Terraform), Kubernetes, Istio Must meet DoD 8140certification and work experience requirements: Security+ or IAT/IAM Level II … stack. • Experience in providing mentorship and leadership within a DevSecOps team • Deep expertise in GitOps (Argo CD/Flux), IaC (Terraform), and container orchestration (Kubernetes/EKS/GKE/AKS) at scale. • Expert in CI/CD (GitLab/Pipelines), IaC (Terraform), Kubernetes, Istio. • Advanced troubleshooting without guidance across the stack (networking, DNS, TLS, authn/z More ❯

for Architectural Frameworks such as TOGAF, Archimate, Software patterns or similar. Experience of Cloud patterns and associated technologies, preferably GCP, CI/CD (Jenkins, Harness), Containerisation, Orchestration, IAM, VPC, GKE Exposure and familiarity with monitoring and logging tools such as Dynatrace and Splunk. A solid understanding of networking, firewalls, load balancing, and cloud security patterns. Experience of API Management tools More ❯

CircleCI, Azure DevOps Pipelines Infrastructure-as-Code Terraform, Ansible, AWS CloudFormation, Pulumi Cloud Platforms AWS, Azure, GCP, or private cloud (OpenStack) Containerization Docker, Podman Orchestration Kubernetes (EKS, AKS, GKE), Helm, OpenShift Version Control Git, GitLab, Bitbucket Monitoring & Logging Prometheus, Grafana, ELK Stack, Splunk, Datadog Security & Compliance HashiCorp Vault, Snyk, SonarQube, Trivy, AWS IAM, CIS Benchmarks Configuration Mgmt. Ansible, Puppet More ❯

at Zefr: Core Infrastructure & Cloud Platforms: Cloud Providers: Google Cloud Platform (GCP), Amazon Web Services (AWS) Infrastructure as Code (IaC): Terraform Containerization & Orchestration: Docker, Kubernetes (experience with GKE and/or EKS expected), Helm, Kustomize Service Mesh: Istio CI/CD & Automation: CI/CD Pipelines: GitHub Actions GitOps/Continuous Delivery: Argo CD Primary Scripting/Automation … supporting Cloud Infrastructure in a production environment using major public cloud providers. (One of GCP or AWS required) Production experience designing, managing, deploying, and maintaining container based workloads into Kubernetes clusters Knowledge of GitOps including an understanding of modern CI/CD pipelines, techniques and technologies (Github Actions, GitLab, CircleCI, Argo CD, Flux) Knowledge of IaC and configuration management More ❯

for cloud resource provisioning and management Proficiency with CI/CD pipelines and DevOps practices for data applications, including Git-based workflows and containerization/orchestration using Docker, ECS, GKE, or Kubernetes Platform and Architecture Skills Solid understanding of platform engineering concepts including observability, monitoring tools (CloudWatch, Prometheus, Grafana), and automated scaling Proven experience designing and supporting multi-tenant More ❯

Job Details Deep expertise in Anthos and hybrid cloud orchestration Role Summary:We are seeking a seasoned Senior Google Cloud PlatformCloud Architect to join our team onsite in New Jersey. In this role, you will drive the design, implementation, and governance of scalable, secure, and observable multicloud solutions. You will engage directly with clients, lead technical presentations, and partner … and hybrid environments. Key Responsibilities: Lead endtoend architecture design and delivery of multicloud solutions (AWS, Google Cloud Platform, Azure, onprem) Architect and implement Anthos, Kubernetes (EKS/GKE/AKS), and a unified Enterprise K8s platform (CaaS) Define and enforce SSDLC (Secure Software Development Lifecycle) and DevOps processes, integrating security and compliance controls Design and implement Terraform Enterprise … members Required Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or related field 10+ years of experience in cloud architecture and engineering 5+ years handson with Kubernetes (design, operations, scaling) Deep expertise in Anthos and hybrid cloud orchestration Proven experience designing and implementing Terraform Enterprise for large portfolios Strong background in DevOps tooling, CI/CD More ❯