7 of 7 Containerisation Jobs in Swindon

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 ...

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 ...

performance in line with public sector standards Work closely with security architects to embed security-by-design and compliance controls Support application teams with containerisation, deployment, and troubleshooting Contribute to platform documentation, operational runbooks, and best practices Required Experience Strong hands-on experience as an OpenShift Engineer or Platform Engineer ...

tools and frameworks rapidly. · Clear communication skills and collaborative working style. Nice to Have · Experience with model serving, quantisation, or distributed inference. · Exposure to containerisation and cloud environments (AWS/DO). · Projects or open-source contributions demonstrating capability and initiative. · Experience in data engineering, cybersecurity, prediction systems or financial ...

converting experimental outcomes into production systems. Familiarity with retraining workflows and performance monitoring. Understanding of explainability and fairness techniques. Hands-on experience with containerisation and orchestration (Docker/Kubernetes). Understanding of MLOps practices, CI/CD and model registry processes. Experience mentoring or guiding junior engineers or leading technical ...

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 ...