401 to 425 of 1,714 Permanent Containerisation Jobs

/or NoSQL databases. Solid understanding of software development principles, design patterns, and agile methodologies. Experience with Python is a significant advantage. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with CI/CD pipelines. Please send me your CV for more information on these roles. Reasonable Adjustments: Respect ...

model evaluation metrics Experience with frameworks such as scikit-learn, PyTorch, TensorFlow Comfortable working in cloud environments ( AWS, GCP or Azure ) Familiarity with containerization ( Docker ) and CI/CD for ML workflows Exposure to time series forecasting or recommendation systems Experience working in regulated environments (e.g., medtech, finance ...

Life Cycle (SDLC) best practices. Knowledge of SQL for database management and query optimization. Proficiency in Linux and Docker, ideally including system administration and containerization for deployment and scaling. Preferred Skills & Experience: Quantitative Finance experience and knowledge strongly preferred, most especially to include a deep understanding of Futures and Systematic ...

Life Cycle (SDLC) best practices. Knowledge of SQL for database management and query optimization. Proficiency in Linux and Docker, ideally including system administration and containerization for deployment and scaling. Preferred Skills & Experience: Quantitative Finance experience and knowledge strongly preferred, most especially to include a deep understanding of Futures and Systematic ...

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 ...

brownfield rollout scenarios. Knowledge of software testing methodologies for infrastructure automation. Experience with other programming languages (e.g., Go, PowerShell, Bash). Understanding of containerization and cloud-native patterns. Experience working in high-pressure, global teams on multi-year strategic projects. Personal Attributes: Self-motivated and able to operate independently with ...

brownfield rollout scenarios. Knowledge of software testing methodologies for infrastructure automation. Experience with other programming languages (e.g., Go, PowerShell, Bash). Understanding of containerization and cloud-native patterns. Experience working in high-pressure, global teams on multi-year strategic projects. Personal Attributes: Self-motivated and able to operate independently with ...

brownfield rollout scenarios. Knowledge of software testing methodologies for infrastructure automation. Experience with other programming languages (e.g., Go, PowerShell, Bash). Understanding of containerization and cloud-native patterns. Experience working in high-pressure, global teams on multi-year strategic projects. Personal Attributes: Self-motivated and able to operate independently with ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes preferred). Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB). Comfortable ...

tool use, and agentic workflows. Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications. Experience with feature stores (Feast, AWS Feature Store). Containerisation (Docker) and orchestration (Kubernetes, ECS). Infrastructure as Code (Terraform, CloudFormation). Large-scale data processing frameworks (Spark, Dask). Familiarity with data governance ...

Stack PHP Developer, with excellent Laravel, PHP, JavaScript (ideally Vue.JS) & Cloud (AWS or Azure) experience is required by a leading company based in Preston. Containerisation, TDD or .NET skills would be a bonus. Due to investment and a pipeline of brand-new green field work, they need a couple ...

tolerance, disaster recovery, and enterprise-grade resilience. Migration Planning & Execution Assess existing infrastructure, applications, and workloads for migration readiness. Develop comprehensive migration strategies covering containerization, workload transfer, and data migration. Implement migration processes with minimal downtime and operational disruption. Identify risks and implement mitigation strategies for smooth migration. VMware & Pure ...

Proxy, federated authentication, SAML/OAuth integration, and implementing least-privilege access controls across Azure subscriptions and resources. Container Services - Working knowledge of Docker containerisation and Azure Kubernetes Service (AKS) for supporting containerised applications. DevOps & CI/CD Pipelines - Experience supporting continuous integration and deployment pipelines using Azure DevOps (Azure ...

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 ...

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 ...