1 to 25 of 152 Kubernetes Jobs in Scotland

/CD and release management experience, including best practices and implementation with tools such as Jules, Jenkins, and Spinnaker.Hands-on DevOps experience with Kubernetes and Docker, including deployment automation and containerized application development.Deep AWS platform experience across compute, storage, networking, security, provisioning, and automation. Hands-on with services including ...

/CD and release management experience, including best practices and implementation with tools such as Jules, Jenkins, and Spinnaker. Hands-on DevOps experience with Kubernetes and Docker, including deployment automation and containerized application development. Deep AWS platform experience across compute, storage, networking, security, provisioning, and automation. Hands-on with services ...

tools like **Ollama**.* **Cloud Platforms**: Proficiency in **AWS** or **Azure** for hosting and deployment.* **Containerization and Orchestration**: Hands-on experience with **Docker**, **Kubernetes**, and **Docker Compose**.* **Infrastructure as Code (IaC)**: Exposure to tools like **Terraform**.* **Monitoring Tools**: Familiarity with LLM monitoring tools like **Langsmith**, **Langfuse**, or similar. ...

similar.Familiarity with tools that support local or hosted model deployment.Cloud & InfrastructureProficiency in AWS or Azure for application hosting and deployment.Hands-on experience with Docker, Kubernetes and Docker Compose.Exposure to Infrastructure as Code tools such as Terraform.Experience with CI/CD platforms including GitHub, GitLab, Jenkins, or similar.Familiarity with monitoring ...

real‐time methods. (Preferred) Experience supporting Spark‐based platforms (e.g. EMR, Glue, Databricks) (Preferred) Proficient with DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) as well as ETL frameworks (Apache Spark, Airflow, AWS IoT Analytics/Device Management/Events). (Preferred) Programming expertise in Python, Java, Scala, SQL, Spark ...

management, model lifecycle management, MLOps, observability and secure deployment of AI workloads.· Container technologies such as Docker and associated orchestration platforms including Amazon EKS, Kubernetes, Amazon ECS and OpenShift.· Infrastructure as code development using Terraform, AWS CloudFormation, AWS CDK and associated configuration management approaches.· Cloud automation tooling and CI/ ...

across all platformsRequired qualifications, capabilities, and skills: Google & Azure cloud expertise in a mission critical production environmentStrong understanding about container technologies such as Docker, Kubernetes, GKE and HELMExperience in programming in one of the following languages: Python, shell scripting or GO along with good understanding of REST APIsHands-on experience ...

platforms Required qualifications, capabilities, and skills: Google & Azure cloud expertise in a mission critical production environment Strong understanding about container technologies such as Docker, Kubernetes, GKE and HELM Experience in programming in one of the following languages: Python, shell scripting or GO along with good understanding of REST APIs Hands ...

e.g., Terraform, Pulumi) and config management (e.g., Ansible, Chef). Strong AWS architecture skills and cost optimisation strategies Advanced containerization and orchestration experience (Docker, Kubernetes, etc.). Proficiency in observability tools (Prometheus, Grafana, ELK, OpenTelemetry). Security-first mindset with hands‐on experience in access control, encryption, and incident response. ...

/CD pipelines and DevOps practices (Jenkins, GitLab, Azure DevOps) Experience with cloud platforms (AWS, Azure, or GCP) desirable Knowledge of containerisation (Docker, Kubernetes) desirable Strong problem-solving skills and attention to detail Nice to Have Experience with messaging systems (Kafka, RabbitMQ, ActiveMQ) Knowledge of investment banking, retail banking ...

Reliability Engineering, Platform Engineering, Software Engineering or DevOps roles supporting complex production environments.Experience with monitoring and observability platforms such as Dynatrace.Experience using Terraform, GitHub, Kubernetes or similar engineering tooling.Experience working with Jira and Confluence within Agile delivery teams.Professional certifications in GCP or comparable cloud technologies.Experience coaching engineers, developing reusable engineering ...

Python and/or shell Deep hands-on experience with CI/CD tooling and building release automation at scale Strong experience with Kubernetes, containerisation, and cloud-native operations Proven experience running production services: observability, on-call, incident response, and reliability engineering Understanding of production security and change-management controls ...

scripting in Python and/or shellDeep hands-on experience with CI/CD tooling and building release automation at scaleStrong experience with Kubernetes, containerisation, and cloud-native operationsProven experience running production services: observability, on-call, incident response, and reliability engineeringUnderstanding of production security and change-management controlsStrong communication skills ...

Python and/or shell Deep hands-on experience with CI/CD tooling and building release automation at scale Strong experience with Kubernetes, containerisation, and cloud-native operations Proven experience running production services: observability, on-call, incident response, and reliability engineering Understanding of production security and change-management controls ...

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

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 ...

aspects of the Software Development Life Cycle.Experience with infrastructure-as-code and cloud-native delivery practices, including tools such as Terraform, containers, Kubernetes, CI/CD pipelines, and automated deployment workflows.Experience in designing and developing large-scale distributed systems and cloud-native architecture.Experience building large scale infrastructure and and cloud ...

skills Experience with infrastructure-as-code tools such as Terraform or AWS CloudFormation Familiarity with containerization and orchestration technologies such as Docker and Kubernetes Exposure to observability and monitoring practices using tools such as Datadog, Splunk, or equivalent platforms Experience contributing to or leading architectural decisions in a large, matrixed ...

Capabilities, and Skills:Multi Region disaster recovery setup, monitoring and testing.Experience in Data pipelines using Spark.Exposure to AWS & Databricks Platform administration.Knowledge of containerization (Docker, Kubernetes) and orchestration.Familiarity with distributed systems and large-scale data processing.J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

Multi Region disaster recovery setup, monitoring and testing. Experience in Data pipelines using Spark. Exposure to AWS & Databricks Platform administration. Knowledge of containerization (Docker, Kubernetes) and orchestration. Familiarity with distributed systems and large-scale data processing. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice ...

learning, predictive modelling, or optimisation.Familiarity with data orchestration tools (e.g., Airflow, dbt, Prefect, Cloud Composer).Experience with containerisation or infrastructure-as-code (e.g., Docker, Kubernetes, Terraform).Knowledge of data warehousing concepts and technologies.Experience contributing to proposals, scoping documents, or client development activities.Understanding of data privacy regulations (e.g., GDPR) and data ...

emerging tools and engineering approaches, experiments with new ideas and is interested in continually improving how technology is built and delivered. Desirable React experience. Kubernetes/container orchestration. Infrastructure as Code, e.g. Terraform or CloudFormation. Developer platform/tooling experience. Exposure to Generative AI, agentic development or AI-assisted software ...

aspects of the Software Development Life Cycle. Experience with infrastructure-as-code and cloud-native delivery practices, including tools such as Terraform, containers, Kubernetes, CI/CD pipelines, and automated deployment workflows. Experience in designing and developing large-scale distributed systems and cloud-native architecture. Experience building large scale infrastructure ...

integration patterns is a plus but not mandatory. Experience working in cross‐functional, remote, or distributed engineering teams. Exposure to containerization of Applications (Docker, Kubernetes). What We Offer Competitive consultancy fee commensurate with experience. Collaborative and growth‐oriented work environment. Continuous learning opportunities and access to cutting‐edge ...

with modern engineering practices: CI/CD, code reviews, unit testing (e.g., pytest/JUnit), and deployment automation.Experience with containers and orchestration (e.g., Docker, Kubernetes/EKS) and production monitoring practices.Preferred Qualifications, Capabilities, and SkillsExperience building agentic AI systems (multi-step workflows, tool routing, planning, memory patterns, supervision/fallback ...