451 to 475 of 2,357 Containerisation Jobs in the UK

building and maintaining CI/CD systems. Strong written and verbal communication skills to a variety of technical and non technical audiences. Experience with containerisation and container orchestration, such as Docker and Kubernetes. Experience with architecting, maintaining, and building efficient, cost-effective scalable infrastructure. A solid understanding of DevOps principles ...

Infrastructure as Code experience using Terraform, CloudFormation, or similar tools Linux administration and scripting skills using Bash, Python, or similar technologies Familiarity with containerisation and orchestration technologies such as Docker and Kubernetes Understanding of CI/CD pipelines and DevOps practices Familiarity with system monitoring tools such as New Relic ...

SaaS environments. Basic familiarity with CI/CD pipelines and MLOps practices, including automated testing, model versioning, and monitoring workflows. Hands-on experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes) to support AI/ML model deployment. Proficiency in cleansing, filtering, and integrating data from diverse sources, including relational ...

/CD experience with a modern platform (GitLab CI preferred; GitHub Actions, Jenkins, etc. transferable).* Solid Kubernetes and Helm in production, plus containerization with Docker.* Infrastructure as code with Terraform, ideally on Azure (AKS, ACR, Entra Workload Identity, Service Bus).* Comfort in a TypeScript/Node monorepo ...

technologies quickly A genuine desire to build impactful solutions for specialist engineering users The following would be a bonus, though not essential: Experience with containerisation, DevOps, and cloud platforms such as Azure or AWS Familiarity with logging, monitoring, and observability tooling Experience using document, object, or time-series datastores ...

SaaS environments. Basic familiarity with CI/CD pipelines and MLOps practices, including automated testing, model versioning, and monitoring workflows. Hands-on experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes) to support AI/ML model deployment. Proficiency in cleansing, filtering, and integrating data from diverse sources, including relational ...

architecture patterns.Experience with RESTful API development and integration.Proven track record in developing base frameworks, reusable programs and defining standards.Knowledge of cloud platforms AWS and containerization technologies.Strong understanding of object-oriented programming principles and design patterns.Proficiency in database design and SQ and NoSQL databases like Redis, DynamoDB.Good understanding of the Agile ...

experience with modern testing frameworks, including unit and integration testing. Experience with CI/CD pipelines, cloud platforms (AWS and/or Azure), and containerization technologies. Strong collaboration skills and the ability to build effective cross-team relationships. Risk benefit statementLearn more about the LexisNexis Risk team ...

building and maintaining production-grade data pipelines for advanced analytics use casesExperience working with structured, semi-structured, and unstructured dataHands-on expertise in containerization and orchestration using Docker and Kubernetes for scalable production systemsFamiliarity with distributed computing frameworks (e.g., Spark, Dask), cloud platforms (e.g., AWS, Azure, GCP), and analytics libraries ...

modeling.Strong experience with modern testing frameworks, including unit and integration testing.Experience with CI/CD pipelines, cloud platforms (AWS and/or Azure), and containerization technologies.Strong collaboration skills and the ability to build effective cross-team relationships.Risk benefit statementLearn more about the LexisNexis Risk team and how we work https ...

systems programming skills in Python or Go, and you are comfortable selecting the best-fit technology for complex infrastructure challenges.You bring practical experience with containerisation and orchestration, specifically using Docker and Kubernetes to manage distributed systems at scale.You have a strong background in Infrastructure-as-Code (IaaC) using tools like ...

Service (AKS), with solid understanding of Kubernetes fundamentals such as deployments, services, ingress, configmaps, secrets, and horizontal pod autoscaling (HPA). Practical experience with containerisation using Docker and packaging and deployment of containerised workloads. experience designing and executing release strategies, including blue/green deployments, canary releases, rolling upgrades ...

with modern data formats such as Parquet and Iceberg.It would also be helpful if you have some experience with Infrastructure as Code (Terraform) and containerisation (Docker) to support automated, standardised deployments.You may also have contributed to or maintained CI/CD pipelines (such as Jenkins or GitHub Actions) as part ...

programming skills in Python or Go, and you are comfortable selecting the best‐fit technology for complex infrastructure challenges. You bring practical experience with containerisation and orchestration, specifically using Docker and Kubernetes to manage distributed systems at scale. You have a strong background in Infrastructure-as-Code (IaaC) using tools ...

analytics libraries (e.g., pandas, numpy, matplotlib), distributed computing frameworks (e.g., Spark, Dask), and cloud platforms (e.g., AWS, Azure, GCP)Basic understanding or exposure to containerization technologies such as Docker and Kubernetes would be beneficialExposure to software engineering concepts and best practices, including DevOps, DataOps, and MLOps, will be advantageousWhile ...

with RESTful API development and integration.* Proven track record in developing base frameworks, reusable programs and defining standards.* Knowledge of cloud platforms AWS and containerization technologies.* Strong understanding of object-oriented programming principles and design patterns.* Proficiency in database design and SQ and NoSQL databases like Redis, DynamoDB.* Good understanding ...

grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible ...

sector solutions across AWS, Azure, GCP, OCI and on-premisesDeep expertise in infrastructure design, networking engineering, VPNs, load balancers, and firewallsDeep proficiency with IaC, containerisation and orchestration tools and technologies (Kubernetes, Terraform, Docker)Comprehensive understanding of CI/CD pipelines and software delivery principles using GitHub Actions or CircleCI.Experience with ...

Terraform for declarative infrastructure management. Deep understanding of GCP networking (VPC Service Controls, Cloud Interconnect, Private Service Connect, Cloud NAT, DNS). 3. Containerisation & Kubernetes Production experience administering GKE/GKE Enterprise . Hands-on experience with container security, Service Mesh (Istio), and admission controllers (OPA/Gatekeeper or Kyverno ...

/EKS, Lambda, OpenSearch, DynamoDB, RDS, S3) and resilience patterns. Proficiency with microservices, API design, and event‐driven systems, as well as experience with containerization and orchestration (Docker, Kubernetes). Strong operational mindset: expert in observability, monitoring, incident response, performance engineering, and adherence to security best practices. Familiarity with ...

across AWS, Azure, GCP, OCI and on-premises Deep expertise in infrastructure design, networking engineering, VPNs, load balancers, and firewalls Deep proficiency with IaC, containerisation and orchestration tools and technologies (Kubernetes, Terraform, Docker) Comprehensive understanding of CI/CD pipelines and software delivery principles using GitHub Actions or CircleCI. Experience ...

RESTful or GraphQL APIs Experience with relational and/or NoSQL databases Experience with CI/CD pipelines and automated deployment processes Experience with containerisation and Docker Experience with event-driven architecture and messaging systems Familiarity with security best practices for cloud-based applications Experience with application monitoring, observability, logging ...

grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible ...

scale. Required qualifications, capabilities and skills Detailed understanding of public clouds and hands on knowledge on building cloud based environments. Expert knowledge of containerisation, Kubernetes and related tooling. Deep understanding of cloud-native and traditional networking architectures. Proven experience designing and operating scalable, secure and resilient networks ...

building high quality backend systems using .NET Core, C#, APIs, SQL , and cloud technologies (preferably Azure ). Strong understanding of event‐driven architectures, microservices, containerisation (Kubernetes) and modern engineering patterns. Proven ability to lead technical workstreams, influence decisions and mentor others—without needing formal line management. Excellent problem‐solving skills ...