10 of 10 Permanent Kubernetes Jobs in Tyne and Wear

languages Experience with C#, Java, or Python, or the ability to code Knowledge of Infrastructure as Code tools like Ansible, Terraform, or similar Experience with containerization (Docker) and orchestration (Kubernetes or Docker Swarm) Familiarity with monitoring tools like ELK, Grafana, or similar Experience with CI/CD tools like TeamCity Microsoft SQL Server expertise Windows and Linux administration experience Strong More ❯

/scripting language C#, Java or Python - prior history as developer or the ability to code Infrastructure As Code - Ansible, Terraform or equivalent Containerisation using Docker, and orchestration via Kubernetes or Docker Swarm Monitoring with ELK, Grafana or equivalent CI/CD with TeamCity Microsoft SQL Server Windows and Linux administration experience The ability to communicate clearly and professionally with More ❯

have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains More ❯

have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains More ❯

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 as a Certified Azure More ❯

have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains More ❯

functional teams on system architecture, design reviews, and best practices ChampionSOLID, clean code, anddomain-driven design (DDD),etc. Work withAzure services, CI/CD pipelines, and containerised environments (Docker, Kubernetes) Help mentor and guide developers, contributing to a culture of technical excellence What You Bring 5+ years of hands-on experience in modern .NET (Core/6/7+) Deep More ❯

Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or Founding Engineer More ❯

an ITIL framework) Strong understanding of application design, rational databases (SQL Server), monitoring and alerting tools (Grafana, Prometheus, Victoria Metrics), scheduling tools (Control-M), operating systems (Windows/Linux), Kubernetes, cloud platforms (Azure), issue tracking and source control (JIRA, Git, Bitbucket). Interview Process: Coding Challenge – We would like to get a better sense of your programming potential. You will More ❯

from diverse document types using LLMs, RAG pipelines, and agent-based reasoning. Experience Required Strong Python engineering skills and experience with AI tooling Experience building and deploying microservices (FastAPI, Kubernetes) Familiarity with CI/CD pipelines and modern software practices Background in document extraction and reasoning (LLMs, RAG, agents) Exposure to multimodal data (text, images, structured) MLOps, model monitoring, and More ❯