201 to 225 of 892 Containerisation Jobs in England

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 ❯

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 ❯

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 ❯

automation and developing Infrastructure as Code (Terraform, Ansible) Proven experience with Azure DevOps. Azure Repos, GitHub Experience of modernisation using Azure IaaS, PaaS (e.g. SQL), and SaaS Experience of containerisation technologies (e.g. Docker, Kubernetes, Azure Container Registry) Proven experience of working in a fast-paced environment managing multiple initiatives in parallel Candidates should have a minimum of 4 years’ experience 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 ❯

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 ❯

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 ❯

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 ❯

innovation and continuous improvement across the application portfolio. Skills Required: Proven experience in application architecture and modernisation projects. Strong knowledge of public and hybrid cloud platforms. Expertise in microservices, containerization (Docker, Kubernetes), and API design. Familiarity with legacy systems (e.g., monolithic applications, mainframes) and migration strategies. Experience with Agile and DevOps practices and CI/CD pipelines. Excellent communication and More ❯

designing event processing and async messaging architectures Experience applying latest technologies to solve complex problems and to develop innovative data and analytical solutions Working knowledge of cloud orchestration and containerisation technologies, such as Docker and Kubernetes Working knowledge of DevOps, CI/CD and Infrastructure-as-Code Understanding of NCSC Cloud Security Principles and its practical implementations Aker Systems Attributes More ❯

services. Familiarity with big data technologies such as Parquet, Iceberg, and streaming platforms like Kafka. Strong knowledge of database systems, SQL data model design, and query optimization. Experience with containerization using Kubernetes and Docker. Proven ability to deliver scalable and performant data services using microservice architectures. Experience developing scalable architectures using containerized and serverless approaches such as Oracle Functions and More ❯

etc), security tooling best practices. Infrastructure as Code: Mastery of infrastructure as code practices and tools like Terraform. Cloud Native Solutions: Strong understanding of DevOps, CI/CD, and containerization best practices to support modern application development and deployment. Public Sector Experience: Experience engaging with public sector clients, understanding their unique challenges, and delivering tailored solutions. Technical Communication: Ability to More ❯