1,551 to 1,575 of 1,769 Kubernetes Jobs

modern DevOps practices and cloud-native technologies. Key Responsibilities Build, deploy, and operate infrastructure within Google Cloud Platform (GCP). Design, implement, and support Kubernetes (GKE) platforms in secure environments. Develop and maintain Infrastructure as Code using Terraform. Build and optimise CI/CD pipelines using GitLab or similar tooling. … Strong commercial experience as a Cloud DevOps Engineer or Platform Engineer. Proven expertise with Google Cloud Platform (GCP). Extensive hands-on experience with Kubernetes (GKE) - essential. Strong experience with Terraform and Infrastructure as Code (IaC). Experience building and maintaining CI/CD pipelines. Strong understanding of cloud networking ...

Flask) Building and scaling data pipelines and search systems using: ElasticSearch, Weaviate, Pinecone, and other vector databases Engineering secure, containerised architectures using Docker and Kubernetes Ensuring high availability, fault tolerance, and performance for mission-critical workloads Providing technical leadership and mentorship to other engineers Contributing to technical strategy, tooling choices … distributed systems Hands-on experience with AI/ML systems , including LLMs, RAG, or vector databases Solid understanding of containerisation and orchestration (Docker/Kubernetes) Experience delivering secure, on-premise or regulated systems Proven ability to lead technically , mentor others, and take ownership of complex problems Desirable Experience in defence ...

collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform : Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing … engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance : Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance Simplify policy enforcement ...

collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform : Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing … engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance : Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance Simplify policy enforcement ...

collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform : Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing … engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance : Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance Simplify policy enforcement ...

collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform : Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing … engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance : Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance Simplify policy enforcement ...

collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform : Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing … engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance : Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance Simplify policy enforcement ...

collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform : Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing … engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance : Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance Simplify policy enforcement ...

collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform : Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing … engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance : Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance Simplify policy enforcement ...

collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform : Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing … engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance : Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance Simplify policy enforcement ...

collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform : Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing … engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance : Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance Simplify policy enforcement ...

collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform : Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing … engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance : Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance Simplify policy enforcement ...

collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform : Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing … engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance : Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance Simplify policy enforcement ...

collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform : Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing … engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance : Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance Simplify policy enforcement ...

scaling a high-traffic platform as the business continues to grow. If you enjoy building reliable, automated cloud infrastructure without the overhead of managing Kubernetes clusters, this could be the role for you. The Role As the DevOps Engineer, you'll take ownership of the company's AWS platform, ensuring … region AWS environments Chaos Engineering or resilience testing Cloud security tooling and posture management Why Apply? Modern AWS platform with no legacy infrastructure No Kubernetes administration High level of ownership and technical autonomy Greenfield engineering environment Opportunity to influence platform strategy from an early stage Work alongside a highly technical ...

Hybrid/Remote Tech Stack: Auth0, Okta, Ping Identity, OAuth2, OpenID Connect (OIDC), SAML, SCIM, React, Angular, NestJS, Azure/AWS/GCP, Docker, Kubernetes, Terraform Unfortunately, we are unable to offer visa sponsorship at this time We are currently supporting a major technology transformation programme and are looking … using React (preferred), Angular, or NestJS Knowledge of cloud platforms such as Azure, AWS, or GCP . Experience with containerisation technologies including Docker and Kubernetes , alongside Infrastructure as Code tooling such as Terraform This is a fantastic opportunity to join a team at the start of a major identity transformation ...

data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call …/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning ...

Senior Platform Engineer at Global, you will: Key Responsibilities Platform Engineering & Automation: Support, maintain, and enhance our application hosting and build platforms across AWS, Kubernetes, Jenkins, and GitHub. Develop automation and tooling using technologies such as Python, Java/Groovy, Go, and Terraform. Technical Leadership & Best Practice: Lead code reviews … skills What You'll Need Platform & Cloud Engineering Experience: Strong experience solving complex engineering problems across distributed systems, with exposure to AWS and Kubernetes environments Software Development & Automation Skills: Experience working across the full software development lifecycle with strong coding and automation capabilities Systems Thinking: Understanding of system architecture ...

data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call …/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning ...

data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call …/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning ...

data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call …/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning ...

data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call …/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning ...

across reliability, observability, automation and operational excellence. This role would suit an SRE, DevOps Engineer or Platform Engineer with strong AWS experience, hands-on Kubernetes/EKS exposure, and a good understanding of observability, monitoring and incident management. The successful contractor will help define and operationalise SLIs, SLOs and error … commercial experience as an SRE, DevOps Engineer, Platform Engineer or Cloud Engineer. Strong AWS experience, ideally within production-scale environments. Hands-on experience with Kubernetes, ideally Amazon EKS. Experience with observability and monitoring tools such as Dynatrace, Prometheus, Grafana, CloudWatch, OpenTelemetry, ELK or similar. Understanding of SLIs, SLOs, error budgets ...

data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at henry.clay-davies@searchability.com. For further information please …/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning ...

data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at henry.clay-davies@searchability.com. For further information please …/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning ...