251 to 275 of 1,104 Containerisation Jobs in the UK

micro frontend (MFE) architectures and optimising CI/CD, automation, and testing practices. Extensive experience with cloud-native environments (preferably GCP and Azure, AWS experience will also be considered), containerisation, and infrastructure tools (Docker, Kubernetes, Helm, Terraform). Skilled in performance optimisation and secure development practices Proven leadership, mentorship, and collaboration skills across multiple teams and stakeholders. Excellent communication, problem More ❯

data quality monitoring. Familiarity with modern data lake table formats such as Delta Lake, Iceberg, or Hudi. Background in stream processing (Kafka, Flink, or similar ecosystems). Exposure to containerisation and orchestration technologies such as Docker and Kubernetes. More ❯

real-time systems . Deep understanding of software architecture, concurrency, performance optimisation , and system reliability . Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning More ❯

real-time systems . Deep understanding of software architecture, concurrency, performance optimisation , and system reliability . Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning More ❯

experience Hands-on engineering background, preferably as an Engineering Manager or technical lead in cloud, DevOps, or compute environments Deep technical expertise in cloud platforms (GCP, AWS, or Azure), containerization, CI/CD, and infrastructure-as-code Docker; Kubernetes (EKS, GKE, AKS); Jenkins, GitLab CI, or GitHub Actions; Terraform or CloudFormation; Prometheus, Grafana, Datadog, or New Relic; Slurm, Torque, LSF More ❯

experience Hands-on engineering background, preferably as an Engineering Manager or technical lead in cloud, DevOps, or compute environments Deep technical expertise in cloud platforms (GCP, AWS, or Azure), containerization, CI/CD, and infrastructure-as-code Docker; Kubernetes (EKS, GKE, AKS); Jenkins, GitLab CI, or GitHub Actions; Terraform or CloudFormation; Prometheus, Grafana, Datadog, or New Relic; Slurm, Torque, LSF More ❯

. Understanding of RESTful APIs, authentication, and session management. Experience with Git and modern CI/CD pipelines. Strong debugging and problem-solving skills. Nice to Have Experience with containerisation (Docker) and cloud environments (AWS, GCP, or Azure). Understanding of the trade-offs of architectural and design decisions. Experience with Sequelize or similar tools Knowledge of security, accessibility and More ❯

ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and infrastructure as code (Terraform, Docker). Solid understanding of API design, data modelling, and microservice architecture. Excellent communication skills, with the ability to translate technical outcomes into business impact. More ❯

ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and infrastructure as code (Terraform, Docker). Solid understanding of API design, data modelling, and microservice architecture. Excellent communication skills, with the ability to translate technical outcomes into business impact. More ❯

. Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master More ❯

. Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master More ❯

a Software Engineer, ideally in Python (3.10+). Proven experience developing cloud-native applications (GCP or AWS). Strong understanding of CI/CD pipelines (e.g. GitHub Actions) and containerisation (Docker). Experience designing scalable, secure systems using modern principles (SOLID, TDD). Familiarity with databases (SQL, NoSQL, or graph) and API integrations. Excellent communicator who thrives in a collaborative More ❯

a Software Engineer, ideally in Python (3.10+). Proven experience developing cloud-native applications (GCP or AWS). Strong understanding of CI/CD pipelines (e.g. GitHub Actions) and containerisation (Docker). Experience designing scalable, secure systems using modern principles (SOLID, TDD). Familiarity with databases (SQL, NoSQL, or graph) and API integrations. Excellent communicator who thrives in a collaborative More ❯

skillset may include: Extensive technical expertise across multiple platform domains, with a track record of delivering secure solutions Windows and Linux operating systems Virtualisation platforms (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Networking concepts (TCP/IP, DNS, DHCP, firewalls) Automation and scripting (e.g. PowerShell, Bash, Python, Ansible, Terraform) Knowledge of cybersecurity controls and accreditation requirements Expertise with cloud platforms More ❯

skillset may include: Extensive technical expertise across multiple platform domains, with a track record of delivering secure solutions Windows and Linux operating systems Virtualisation platforms (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Networking concepts (TCP/IP, DNS, DHCP, firewalls) Automation and scripting (e.g. PowerShell, Bash, Python, Ansible, Terraform) Knowledge of cybersecurity controls and accreditation requirements Expertise with cloud platforms More ❯

management.o Design and manage Azure DevOps CI/CD pipelines for secure and efficientsoftware delivery.o Deploy microservices using AWS ECS, ECR, and Fargate, ensuring secure andscalable architecture. Development & Containerization:o Proficiency in Python and Node.js for developing secure, scalableapplications.o Hands-on experience with Docker for containerizing applications andmanaging secure container environments.  API Management & Analytics:o Strong knowledge of More ❯

develop robust APIs and backend services using Node.js, while also contributing to frontend interfaces that deliver seamless user experiences. You’ll work within a cloud-native architecture, leveraging AWS, containerisation, and infrastructure automation to deliver resilient, maintainable solutions. Responsibilities Develop and maintain backend services and APIs using Node.js Build responsive, accessible frontend components using modern JavaScript frameworks Design event-driven More ❯

infrastructure, including services such as EC2, S3, RDS, Lambda, and VPC. Strong expertise in Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation. Hands-on experience with containerization technologies like Docker, ECS, or Fargate. Proficiency in scripting languages such as Python, Bash, or PowerShell to automate tasks and workflows. Experience supporting large-scale, customer-facing SaaS environments with More ❯

a strong desire to learn and apply AI methodologies in your work. · Familiarity with front-end JavaScript frameworks (e.g., React, Vue.js). · Knowledge of cloud platforms (particularly AWS) and containerisation (Docker). Why Join Us? The Jaywing & Stubben Edge Advantage · Become an AI Practitioner: Move beyond theory. This role offers practical, career-defining experience with agentic AI frameworks—one of More ❯

Java development and it's ecosystem (Spring boot, Maven) Frontend development and it's ecosystem (React, Npm) Proven experience in designing, developing & deploying scalable backend systems. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Role clearance type: You must currently More ❯

Elasticache . Additional skills and experience It would be great if you already have: - An understanding of event-driven architecture and message queues ( Laravel Horizon, SQS ). Familiarity with containerization and orchestration tools like Kubernetes . Experience with a microservices or service-oriented architecture. Knowledge of front-end technologies such as HTML, CSS, SaSS, and TailwindCSS . Experience with testing More ❯

Proficiency with SQL (Postgres/MySQL) and a NoSQL/Key-Value store (e.g., DynamoDB/Redis) * CI/CD (GitHub Actions/GitLab/CircleCI), automated testing, and containerization ( Docker ) * Demonstrated work in a commercial setting with data-intensive or ML-adjacent systems (e.g., pipelines, model serving, feature stores, analytics workloads) Nice to Have: * Experience integrating Python ML services More ❯

to CI/CD pipelines and automated deployment tools Experience using ORM technologies such as Entity Framework or Linq2DB Comfortable working with .NET Core (.NET 5+) Basic experience with containerisation tools like Docker Exposure to cloud platforms such as Azure or AWS Willingness to learn and take ownership of tasks Understanding of version control using Git Interest in learning about More ❯

data programming frameworks. • Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. • Experience with cloud infrastructure like AWS or Azure. • Experience with Linux and containerisation (e.g Docker, shell scripting). • Understanding Data modelling and Data Cataloguing principles. • Understanding of Data Management principles (security and data privacy) and how they can be applied to Data Engineering More ❯

cloud platforms Azure Experience with Agile methodologies (SCRUM), test-driven development (TDD), and CI/CD pipelines. Knowledge of clean code principles, SOLID, and software design patterns. Familiarity with containerisation tools (Docker) is a plus. Strong problem-solving skills and a proactive, team-oriented mindset. Benefits to support you personally and professionally Alongside the opportunity to work with an incredible More ❯