126 to 150 of 1,728 Permanent Kubernetes Jobs

native AI tools (e.g., SageMaker, Vertex AI, Azure ML Studio) is a plus. Awareness of containerisation technologies (e.g., Docker); exposure to orchestration tools (e.g., Kubernetes) is beneficial but not essential. Emerging data engineering skills, such as working with data pipelines or data wrangling, gained through coursework, internships, or personal projects. ...

native AI tools (e.g., SageMaker, Vertex AI, Azure ML Studio) is a plus. Awareness of containerisation technologies (e.g., Docker); exposure to orchestration tools (e.g., Kubernetes) is beneficial but not essential. Emerging data engineering skills, such as working with data pipelines or data wrangling, gained through coursework, internships, or personal projects. ...

Azure ML Studio. Ability to design and deploy cloud-based AI solutions.Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions.Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems.Exposure to agile ...

AIML engineering in commercial settings, preferably in financial sectorExperience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOpsPrior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists J.P. Morgan is a global ...

DroneCI.Experience with configuration as code tools like Terraform, or Cloudless.Strong knowledge of cloud platforms (AWS, Azure, GCP).Familiarity with containerization technologies (Docker, Helm/Kubernetes).Scripting skills in languages such as Python, Bash, or PowerShell.Understanding of networking, security, and system administration.What’s in it for youAt Accenture in addition ...

Azure ML Studio. Ability to design and deploy cloud-based AI solutions.Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions.Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems.Exposure to agile ...

Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. ...

modern threat landscape Relevant certifications (e.g. CIAM, CISSP, CAMS, etc.) Exposure to/Understanding of DevOps tools and repositories (e.g. Git, Azure Dev Ops, Kubernetes, Docker, Jenkins, Ansible etc.) Role based access control (RBAC) design Practical experience with Linux operating systems Experience with Modern Authentication concepts e.g. Self-Service Identity ...

manual intensive tasksSolid experience with CI/CD pipelines, Jenkins and Version Control tools (GitHub, Bit Bucket, GIT)Container administration and development experience utilizing Kubernetes, Docker or similarSolid experience with Configuration Management toolsProgramming languages development experience using Python, Golang, Terraform Experience with monitoring tools such as GrafanaExperience in managing ...

Spring boot, Maven, Python)Frontend development and it’s ecosystem (JS/TS, React, Npm)Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS).Understanding of database technologies such as SQL, Elasticsearch or MongoDBStrong communication, collaboration & problem solving skills, ideally with some experience in agile ways ...

Spring boot, Maven, Python)Frontend development and it’s ecosystem (JS/TS, React, Npm)Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS).Understanding of database technologies such as SQL, Elasticsearch or MongoDBStrong communication, collaboration & problem solving skills, ideally with some experience in agile ways ...

Spring boot, Maven, Python)Frontend development and it’s ecosystem (JS/TS, React, Npm)Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS).Understanding of database technologies such as SQL, Elasticsearch or MongoDBStrong communication, collaboration & problem solving skills, ideally with some experience in agile ways ...

complex, enterprise-level setting, including hands-on work with OpenShift/Linux platformsExtensive experience with microservices architecture and related technologies (e.g., Docker, Kubernetes, OpenShift, Kafka) including hands on technical implementationHands-on experience with cloud platforms (Azure) and Infrastructure as Code (IaC) tools (e.g., Ansible).Experience in Infrastructure projects over ...

othersPlatform Integration: With technologies such as Kafka and KubernetesSome of the technologies that you will be interacting with include:Containerisation and virtualisation: Docker, Podman, Kubernetes, VMWareOperating Systems: Linux or iOSContinuous Integration/Build and deployment automation: Jenkins, SonarQube, Artifactory, Bitbucket, Maven, Xcode Build, HelmInstrumentation and monitoring: Loki, Prometheus, Grafana, Mimir ...

application resiliency and security.Expertise in at least one programming language, with the ability and willingness to learn additional stacks (e.g., Java, Go, Python, Terraform, Kubernetes) as needed.Confidence using and critically evaluating agentic AI development tools; applies judgment on correctness, quality, security, and performance rather than accepting outputs at face value.Leadership ...

with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives).Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow).Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search)A little ...

AIML engineering in commercial settings, preferably in financial sectorExperience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOpsPrior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists J.P. Morgan is a global ...

similar roles supporting business-critical applications.Strong foundation in Linux/Unix systems administration, scripting, troubleshooting, and infrastructure concepts.Hands-on experience with Ansible and Kubernetes in enterprise or production environments.Demonstrated ability to define and operationalize SLIs, SLOs, dashboards, alerts, and health indicators.Hands-on experience with enterprise monitoring and observability platforms including ...

integration and continuous delivery (CI/CD) concepts and tools (e.g., Jenkins, GitLab CI).Familiarity with containerization technologies like Docker and orchestration platforms like Kubernetes or OpenShift.General Skills:Experience contributing to successful software projects.Demonstrates ownership and sound judgment in technical tasks.Clear written and verbal communication skills.Education:Bachelor’s degree/ ...

Azure, and Infrastructure as Code Hands-on use of DevSecOps tools, CI/CD pipelines or automation tooling Containerisation platforms, such as Kubernetes or Docker Security Clearance This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional ...

team environment. Desirable AttributesPrior internship experience in a software development role.Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes).Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill.#LI-JB1About usEbury delivers sophisticated, integrated solutions — business accounts, hedging, and financing ...

Google Cloud Platform.Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus.Hands on experience with container orchestration tools such as Kubernetes or Docker Swarm.Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet.You are a strong problem solver and have solid production debugging ...

track record of leading successful projects.Proficiency in JavaDeep understanding of software architecture, design patterns, and system integration.Experience with cloud platform (AWS) and containerization (Docker, Kubernetes).Skills and experience with web servers and databases (e.g. DynamoDB, RDBMS, Elasticsearch).Experience with CI/CD pipelines utilising infrastructure as code (e.g. Terraform, Cloud ...

track record of leading successful projects.Proficiency in JavaDeep understanding of software architecture, design patterns, and system integration.Experience with cloud platform (AWS) and containerization (Docker, Kubernetes).Skills and experience with web servers and databases (e.g. DynamoDB, RDBMS, Elasticsearch).Experience with CI/CD pipelines utilising infrastructure as code (e.g. Terraform, Cloud ...

with a proven track record of automating cloud infrastructure deployments.Advanced knowledge of containerization technologies and orchestration platforms like Docker and Amazon EKS (Kubernetes) or ECS.Expertise in defining, implementing, and optimizing CI/CD pipelines using tools such as AWS CodePipeline, Jenkins, GitLab, GitHub Actions, and others, applying best practices ...