1 to 25 of 71 Permanent Containerisation Jobs in the Midlands

verbal communication skills. Nice to Have (Bonus) Exposure to Python or Bash scripting. Knowledge of cloud platforms (AWS, Azure, GCP). Basic understanding of containerization (Docker). Understanding of CI/CD concepts or Infrastructure-as-Code principles. What You’ll Gain Practical exposure to modern DevOps workflows and cloud ...

secure coding practices Experience working with SQL/NoSQL databases (PostgreSQL, Oracle) Nice‐to‐Have Skills Experience with cloud platforms (AWS, Azure, GCP) Containerization knowledge (Docker, Kubernetes) UI development in PEGA or frameworks like Angular/React Familiarity with DevOps tools (Jenkins, Git, SonarQube, CI/CD pipelines) Exposure ...

below non-exhaustive list: - Strong grasp of IaC (Terraform or provider-specific tools) and cloud platforms such as AWS, Azure, GCP. - Experience with containerisation and orchestration (Docker + Kubernetes/ECS/equivalent). - Competence in CI/CD pipelines (Jenkins, GitLab CI/CD, GitHub Actions, CircleCI). - Configuration ...

software engineering Advanced knowledge of automation frameworks, test design, and QA principles Hands-on with Java-based technologies, microservices, cloud platforms (AWS/Azure), containerisation, and DevOps practices Strong problem-solving, communication, and project management skills Experience working in self-empowered, multi-disciplinary Agile teams Ability to influence and shape ...

workflows Desirable: Experience with Azure or other cloud platforms Knowledge of Infrastructure as Code (e.g., Terraform) Exposure to event-driven architecture and messaging systems Containerization and orchestration experience (e.g., Docker, Kubernetes) Package & Working Model Salary: Up to £85,000 Hybrid working: 3 days per week onsite in Nottinghamshire HQ Flexible ...

Mobile app development (iOS/Android) Cloud hosting experience (AWS or Azure) API/Microservices architecture NoSQL databases (MongoDB, MongoDB Atlas) Kubernetes and Docker containerisation Agile development methodology Personal Attributes Eager to learn and adopt new technologies Strong team player with the ability to work independently Excellent communication skills ...

microservices and APIs that meet performance, security, and reliability standards. Work Cloud-First Deploy and support AI services within AWS, GCP, or Azure , using containerisation and CI/CD pipelines. Collaborate & Learn Work closely with Lead AI Engineers and Architects, contributing to design discussions, code reviews, and internal knowledge sharing. ...

with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes ...

with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes ...

with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes ...

with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes ...

with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes ...

with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes ...

with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes ...

Rocky) - essential. Knowledge of Java - advantageous. Experience with databases (MySQL/SQL Server) . Familiarity with VMware/Proxmox - beneficial. Knowledge of automation and containerisation tools such as Ansible, Docker, Jenkins, SVN, Terraform - advantageous. Scripting experience with Bash or Python - beneficial. Excellent communication skills and confidence in customer-facing situations. ...

testing Ability to work collaboratively in a team environment Desirables Azure cloud experience (App Services, Functions, Storage, Service Bus, etc.) Exposure to microservices or containerisation (Docker/Kubernetes) Experience with front-end frameworks such as React or Vue The Company This company is a recognised leader in the financial services ...

pipelines for near-real-time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure ...

pipelines for near-real-time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure ...

pipelines for near-real-time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure ...

pipelines for near-real-time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure ...

pipelines for near-real-time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure ...

pipelines for near-real-time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure ...

pipelines for near-real-time detection (packet/flow analytics). Background in resilience engineering, chaos testing, disaster recovery, and capacity planning at hyperscale. Containerization/orchestration (e.g., Kubernetes) and secure service-to-service communication (mTLS, policy enforcement). Familiarity with zero trust, segmentation, and modern security architectures; exposure ...

Server, including schema design, query optimisation, and performance tuning. DevOps & Cloud Skills: Practical experience with CI/CD tools (Azure DevOps, GitHub Actions) and containerisation (Docker). Familiarity with Azure services (Functions, App Services, Storage, Key Vault, Azure SQL). Testing & Quality: Proficiency in unit testing frameworks (MSTest, xUnit ...

Workday integrations or Power Platform Familiarity with Azure SQL, Cosmos DB, Application Insights Microsoft certifications (AZ-204, AZ-400) Exposure to multi-cloud or containerisation (Docker, Kubernetes) About DigX We’re a transformation consultancy delivering engineered outcomes across complex IT environments. We operate at the intersection of strategy, architecture ...