1,176 to 1,200 of 2,251 Permanent Kubernetes Jobs

as part of mixed technical teams, spread across regions, time zones, support rotas and follow the sun approaches Experience in at least 3 of the following: Google Cloud Platform Kubernetes Networking (including VPN, firewall & routing) Java/Apache support & troubleshooting Other cloud platforms (eg Azure, AWS) Linux OS/Windows OS Linux automation and scripting Ability to understand and distil More ❯

We emphasize event-driven, deterministic system design, real-time observability, and strong security. Our tech stack includes Java (low-latency), Python, Web UI (React/Ag-Grid), Aeron, ClickHouse, Kubernetes, and modern CI/CD tooling, with a strong focus on automation, scalability, and performance. AI-assisted development tools are also leveraged to boost productivity and quality across the team. More ❯

C#, .NET, COM+, DCOM, Visual Studio, GitHub, and Azure DevOps - CI/CD pipelines with YAML. • Working knowledge of SQL Server interfaces. • Working knowledge of Azure Active Directory, Azure Kubernetes Service, Azure VMs, Azure Key Vault, Azure Service Bus, Azure Monitor, Azure Functions, and Microsoft IIS. • Working knowledge of automated testing with xUnit and Selenium. • Working knowledge of Domain Driven More ❯

with modern CI/CD pipelines like GitLab, GitHub Actions, or CircleCI Awareness of CDNs , shell scripting , and common CLI tools Experience with monitoring tools like Datadog Familiarity with Kubernetes and deployment tools like Helm Why Join H&B Tech? Help shape the future of digital wellness in a purpose-led business Work in a forward-thinking, cloud-native team More ❯

fast-paced, collaborative, and dynamic environment. Nice to haves: Prior experience with PCB design, EDA tools, or related optimization problems. Hands-on experience in high-performance computing environments (e.g., Kubernetes, Ray, Dask). Contributions to open-source projects, publications, or top placements in ML competitions (e.g., Kaggle). Expertise in related fields such as Computer Vision, Representation Learning, or Simulation More ❯

actively manage platform health and technical debt Knowledge and Skills Significant professional software engineering experience gained in a full-stack environment, ideally with experience using Google Cloud, Python, React, Kubernetes, BigQuery, or similar modern technologies. Hands-on experience developing, shipping, operating, and/or maintaining consumer and/or enterprise web applications. Demonstrated passion for delivering testable, instrumented, and reliable More ❯

Strong understanding of secure networking, cryptography and software development Experience with security technologies such as firewalls, IDS/IPS and DLP Expertise in containerization technologies and tools (i.e. Kubernetes) Solid understanding of AI/ML fundamentals as well as VertexAI Excellent analytical, problem-solving and communication skills with strong presentation abilities Demonstrated curiosity that seeks out cross-team collaboration opportunities More ❯

infrastructure and core services within the Azure cloud environment, as well as driving modernisation and automation efforts. This role focuses on platform engineering, including infrastructure-as-code (IaC), Azure Kubernetes Services (AKS), Terraform, managing domains, Active Directory (AD), DNS, authentication services, and program and change work. The Core Platform Technical Engineers will ensure the operational stability, scalability, and security of More ❯

infrastructure and core services within the Azure cloud environment, as well as driving modernisation and automation efforts. This role focuses on platform engineering, including infrastructure-as-code (IaC), Azure Kubernetes Services (AKS), Terraform, managing domains, Active Directory (AD), DNS, authentication services, and program and change work. The Core Platform Technical Engineers will ensure the operational stability, scalability, and security of More ❯

infrastructure and core services within the Azure cloud environment, as well as driving modernisation and automation efforts. This role focuses on platform engineering, including infrastructure-as-code (IaC), Azure Kubernetes Services (AKS), Terraform, managing domains, Active Directory (AD), DNS, authentication services, and program and change work. The Core Platform Technical Engineers will ensure the operational stability, scalability, and security of More ❯

Advanced LookML knowledge and experience building data visualisation tools. Skilled in building and managing real-time and batch data pipelines using Kafka and DBT. Familiarity with Docker, Terraform, and Kubernetes for application orchestration and deployment. A strong numerical or technical background, ideally with a degree in mathematics, physics, computer science, engineering, or a related field. Understanding of data science concepts More ❯

SCSS Modules, React Testing Library, Cypress, Turborepo Mobile Typescript, React Native, Expo, GraphQL, Relay, Jest, React Testing Library Backend/Infrastructure PHP 8 (Symfony), Kotlin, MySQL, RabbitMQ, AWS, Docker, Kubernetes Tooling ArgoCD and Github Actions Github, Jira & Confluence, for our code & product management processes Datadog & Sentry, for debugging and reporting Figma, for our design process What we're looking for More ❯

in Java, TypeScript or Python. Integration of AI into data processing and user workflow systems. Working with our Platform Engineers to help manage and maintain their own infrastructure e.g. Kubernetes Building and adding to automated delivery pipelines (using GitLab). Pay and benefits Naimuri pays competitively within the industry based on your role's base location rates. The salary for More ❯

like TensorFlow, PyTorch, and scikit-learn. Experience with cloud platforms (e.g., AWS), big data technologies (e.g., Spark) as well as other technologies used to deploy models to production (e.g., Kubernetes, GHA, Airflow, Docker etc.). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health More ❯

in software engineering. Significant professional software engineering experience gained in a full-stack cloud environment (specific technologies are not important, but our stack include Google Cloud Platform, Python, React, Kubernetes, Big Query). Hands-on experience developing, shipping, operating, and/or maintaining consumer and/or enterprise web applications. Excellent verbal and visual communication skills. Ability to actively listen More ❯

etc.) Experience with Agile development of distributed services, with a focus on robust software design, scalability and security. Experience building and deploying containerised applications into modern distributed computing environments (Kubernetes, Nomad etc.) Eagerness to work openly and collaboratively with a diverse team Ability to encourage and drive engineering standard methodologies A positive demeanour and a passion for sharing knowledge BSc More ❯

and leading technical decisions. You are proficient in Python, Java, Scala, and ML frameworks (e.g., TensorFlow, PyTorch), with experience in cloud platforms (AWS), big data (Spark), and deployment tools (Kubernetes, Airflow, Docker). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please More ❯

AWS, GraphQL and the frontend is React Native with TypeScript. Across the rest of Lendable we also use PHP 8, Symfony 6&7, Kotlin, AWS, MySQL, PostgreSQL, RabbitMQ, Docker, Kubernetes, React & React Native, TypeScript, MobX, Redux, Stylus and SASS, Jenkins, Behat, PHPUnit, Jest, Selenium, Maestro and Detox. How you'll have an impact Own and optimise the delivery process to More ❯

to Have Experience leading applied ML projects end-to-end, with a focus on code quality, runtime efficiency, and measurable impact. Familiarity with cloud platforms (e.g. AWS), containerisation (Docker, Kubernetes), and orchestration tools. Experience mentoring and coaching other data scientists and setting technical direction in high-impact domains. Background in mobility, insurance, user behaviour modelling, or driver risk analytics. What More ❯

some of the following: •Programming in Java, J2EE, Servlet, EJB, XML, Rest, Spring, Nodejs, SQL, Python • Knowledge of Linux, Unix systems K Knowledge of Cloud architecture such as Containers, Kubernetes, Openshift and Devops Methodology Knowledge of software architectural design, application development, integration, and testing. • Understanding of Agile methodologies and practices in delivering IT projects. • Excellent communication, project management, and stakeholder More ❯

notch, high-performance environment About you Extensive experience in management and troubleshooting of GPU compute clusters at scale Proficiency in containerization and container orchestration technologies such as Docker and Kubernetes Software engineering expertise and fluency in at least one programming language, preferably in Go. Expertise in patch and OS management at scale Experienced in Linux performance benchmarking, tuning, and troubleshooting More ❯

on will be agreed closer to your start date, but examples of products can be found in our GitHub repository: Jenkins for CI/CD Dynatrace for application monitoring Kubernetes and Docker to run our services Azure for most of our infrastructure Terraform for infrastructure as code Postgres and Redis as our databases. GOV.UK Design System for our web interfaces More ❯

and available . The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent , Astronomer/Airflow , and Kubernetes . This forms part of a longer-term strategic direction to implement Data Mesh, and with it establish shared platform s that enables a connected collection of enterprise-ready time More ❯

usage Experience of Elastic Stack (ELK) Knowledge of Offensive testing frameworks Knowledge of Linux, Windows and Network Administration Knowledge and experience of cloud services (public or private), OpenStack and K8S Cyber security qualifications Knowledge of Telecoms Security Act (TSA) Knowledge of architectural concepts such as microservices, service mesh. Knowledge of Git and Devops practices Knowledge of Terraform/Ansible systems More ❯

in the following would be advantageous (but are not requirements) Experience of large-scale commercial software development Profiling and optimization SQL Server Containers (e.g. Docker) and container orchestration (e.g. Kubernetes) At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential. We are More ❯