676 to 700 of 2,135 Kubernetes Jobs

infrastructure and resource optimisation (Azure preferred) Experience with CI/CD pipelines, performance tuning and DevOps (Azure DevOps desirable) Familiarity with monitoring, automation and containerisation/orchestration (Docker/Kubernetes) Strong collaboration and problem-solving abilities Knowledge of cybersecurity practices, including static and dynamic scanning standards Familiarity with modern DevOps pipelines and platform architecture Awareness of platform-level monitoring, benchmarking More ❯

offline deployments. - Build production-ready ML pipelines from ingestion to inference. Infrastructure & Deployment - Implement, and maintain multi-account, multi-region AWS environments using IaC (Terraform, Helm, CloudFormation). - Manage Kubernetes clusters (EKS/OpenShift), service meshes, and container registries. - Implement GitHub Actions/Argo CD pipelines for automated, zero-touch deployments. - Lead security hardening efforts using GuardDuty, CloudWatch, IAM best More ❯

AD Application Proxy, federated authentication, SAML/OAuth integration, and implementing least-privilege access controls across Azure subscriptions and resources. Container Services - Working knowledge of Docker containerisation and Azure Kubernetes Service (AKS) for supporting containerised applications. DevOps & CI/CD Pipelines - Experience supporting continuous integration and deployment pipelines using Azure DevOps (Azure Pipelines, Repos, Artifacts) or GitHub Actions integrated with More ❯

offline deployments. - Build production-ready ML pipelines from ingestion to inference. Infrastructure & Deployment - Implement, and maintain multi-account, multi-region AWS environments using IaC (Terraform, Helm, CloudFormation). - Manage Kubernetes clusters (EKS/OpenShift), service meshes, and container registries. - Implement GitHub Actions/Argo CD pipelines for automated, zero-touch deployments. - Lead security hardening efforts using GuardDuty, CloudWatch, IAM best More ❯

econometrics or marketing measurement. Experience with agile development methodologies, such as Scrum or Kanban. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with DevOps practices and tools for continuous integration and deployment. Solid understanding of system design principles, scalability, and performance optimization. Acxiom is a customer intelligence company that provides More ❯

econometrics or marketing measurement. Experience with agile development methodologies, such as Scrum or Kanban. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with DevOps practices and tools for continuous integration and deployment. Solid understanding of system design principles, scalability, and performance optimization. Acxiom is a customer intelligence company that provides More ❯

data scientists, distributed across multiple countries in Europe, with a significant presence in Poland and Ukraine. Our tech stack includes Python with a React frontend, deployed on AWS in Kubernetes clusters, using GCP for Gemini and LangGraph for agent orchestration. While you’ll have the resources of a large organisation, this team operates with a startup mentality: embracing rapid iteration More ❯

data scientists, distributed across multiple countries in Europe, with a significant presence in Poland and Ukraine. Our tech stack includes Python with a React frontend, deployed on AWS in Kubernetes clusters, using GCP for Gemini and LangGraph for agent orchestration. While you’ll have the resources of a large organisation, this team operates with a startup mentality: embracing rapid iteration More ❯

Gateway, and Traffic Manager. Experience with automation frameworks such as Ansible or DSC. Experience with Azure DevOps pipelines. Linux administration. Supporting bespoke applications and customer-specific services. Experience with Kubernetes or container-based deployments. Basic SQL Server or Azure SQL administration. Additional Requirements Successful candidates will be required to undergo NPPV3 and SC background checks as part of the role. More ❯

with strong backend experience in Python or Node.js, and hands on experience with AWS, serverless, and event-driven architectures. Practical experience with infrastructure as code tools (CDK/Terraform), Kubernetes, and cloud-native design patterns. Strong system design and engineering fundamentals, including clean architecture, testing, and production grade software development. Excellent collaboration and communication skills, able to bridge technical and More ❯

Gateway, and Traffic Manager. Experience with automation frameworks such as Ansible or DSC. Experience with Azure DevOps pipelines. Linux administration. Supporting bespoke applications and customer-specific services. Experience with Kubernetes or container-based deployments. Basic SQL Server or Azure SQL administration. Additional Requirements Successful candidates will be required to undergo NPPV3 and SC background checks as part of the role. More ❯

involving coding (e.g. physics or applied mathematics) Algorithms, data structures, complexity analysis and software design Hands-on senior level experience in Python programming Unix based systems, containerized environments and Kubernetes Working experience with databases: relational, NoSQL and time series Websocket, REST API and message brokers (e.g. Kafka, NATS, Pub/Sub) Proficient written and verbal communication in English Strong analytical More ❯

involving coding (e.g. physics or applied mathematics) Algorithms, data structures, complexity analysis and software design Hands-on senior level experience in Python programming Unix based systems, containerized environments and Kubernetes Working experience with databases: relational, NoSQL and time series Websocket, REST API and message brokers (e.g. Kafka, NATS, Pub/Sub) Proficient written and verbal communication in English Strong analytical More ❯

S3, etc.) Front-end development skills with React.js , TypeScript , or Angular.js Familiarity with CI/CD pipelines and DevOps tooling Bonus points for experience with: AI/ML technologies Kubernetes or container orchestration Serverless architecture Security-first development in regulated environments What's In It for You Flexible Work Week - Choose your hours with TOIL options Remote-First Culture - Work More ❯

reviews, sharing and learning from others. Mentoring and coaching other engineers in your team. Our Tech Stack: C#, C++, Typescript and other languages. Azure Cloud technologies. Containerisation (Docker/Kubernetes) and microservice architectures. Front-end frameworks (WPF and React). Database technologies. Test automation tools such as Playwright. Common API technologies such as OpenAPI, REST/HTTP, WebSocket, SignalR. GitHub More ❯

architectural diagrams into reliable production systems Required Skills: Strong programming in C++ and Python Experience with ROS2 , DDS (e.g., Fast DDS, Cyclone DDS) Knowledge of Docker Containerization , orchestration tools - Kubernetes (K3s, MicroK8s, Helm) Strong grasp of AWS services : IoT Core, CloudWatch, S3, SNS, Lambda Familiarity with OTA frameworks and secure software update flows Experience with TLS, AuthN/Z, certificates More ❯

in full software lifecycle activities: requirements capture, design, implementation, testing, and deployment. Contribute to or lead the development of CI/CD pipelines, cloud infrastructure, and containerized environments (e.g. Kubernetes, Docker). Optimise software for performance, scalability, and reliability. Participate in design reviews, code reviews, and technical discussions. For senior/principal levels: define technical strategy, mentor junior engineers, and More ❯

on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of More ❯

on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of More ❯

mentoring junior developers, and facilitating knowledge transfer. Together well be Real team players at Realworks. In this role, you will: Work with Java 17, Tomcat, Spring Boot, Docker, and Kubernetes; Design and implement services; Respond to calamities in production; Create CI/CD pipelines to facilitate the delivery of best practices; Work in a young and international team. Your team More ❯

on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of More ❯

on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of More ❯

on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of More ❯

and improve delivery timelines. Work with Cubic's IT and Infrastructure team to establish a future-proofing roadmap for test environments, including cloud adoption, virtualisation, and containerisation strategies (e.g., Kubernetes, Docker). Tooling Work closely with DevOps and Infrastructure teams to integrate automated environment spin-up/down to support rapid project delivery. Evaluate, select, and implement environment monitoring and More ❯

on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of More ❯