11 of 11 Permanent Containerisation Jobs in Hertfordshire

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 ...

Leadership & Mentoring: You've led projects and mentored teams, which matches their expectation for technical leadership. Where you might want to strengthen your profile: Containerization & GitOps: If you haven't worked extensively with Docker/Kubernetes or GitOps workflows, brushing up on these would be valuable. AI in DevOps: They ...

e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development skills, e.g. Python Big data technologies knowledge, e.g. Hadoop stack Containerization experience, e.g. Docker, Kubernetes Understanding of generative AI, NLP (Natural Language Processing) or OCR (Optical Character Recognition) Experience in the industrial and/or defence ...

latest techniques working with LLMs Ø Strong knowledge of cloud services (preferably AWS) and infrastructure-as-code Ø Experience with containerisation, orchestration, and CI/CD pipelines Ø Understanding of database scaling, caching strategies, and performance optimisation Ø Familiarity with LLM technologies and latest utilisation methodologies, including agentic workflows ...

data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background in an industrial and/or defence environment The ideal candidate must have Proven experience working as a Data Engineer ...

experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with MLOps practices such as CI/CD, containerisation and monitoring Clear, pragmatic communicator who works well across teams Nice to have Experience with agentic or LLM-based frameworks Exposure to causal inference, uplift modelling ...

stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous Knowledge in the industrial and/or defence sector would be advantageous Our company: Peace is not a given ...

Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. Be creative, ambitious and curious. Be resourceful and innovative. ...

About Us We are a fast-growing fintech company building modern, scalable platforms that power real-world financial products. Our engineering culture values clean architecture, strong ownership, and pragmatic innovation. We operate in a cloud ...

Data DevOps Engineer Introduction This organisation is transforming how millions of people engage with data, insight, and digital experiences. They’re scaling a modern BI function and need someone who can keep their cloud environments ...

Cloud Engineer Location: Remote (UK) Contract: 12 months IR35: Outside IR35 The Role We're looking for a Cloud Engineer to join a small platform team supporting the modernisation of on-prem infrastructure into AWS. ...