876 to 900 of 1,888 Permanent Containerisation Jobs

Rehost, Replatform, Refactor, Repurchase, Retire, Relocate). Identify opportunities to simplify, rationalise, decommission, modernise, or migrate applications. Provide oversight of cloud migration, application refactoring, containerisation, and legacy modernisation initiatives. Shape transformation programmes from initial discovery through implementation and transition to BAU operations. Technical Debt Remediation Assess technical debt across applications ...

Rehost, Replatform, Refactor, Repurchase, Retire, Relocate). Identify opportunities to simplify, rationalise, decommission, modernise, or migrate applications. Provide oversight of cloud migration, application refactoring, containerisation, and legacy modernisation initiatives. Shape transformation programmes from initial discovery through implementation and transition to BAU operations. Technical Debt Remediation Assess technical debt across applications ...

Rehost, Replatform, Refactor, Repurchase, Retire, Relocate). Identify opportunities to simplify, rationalise, decommission, modernise, or migrate applications. Provide oversight of cloud migration, application refactoring, containerisation, and legacy modernisation initiatives. Shape transformation programmes from initial discovery through implementation and transition to BAU operations. Technical Debt Remediation Assess technical debt across applications ...

equivalent), system, network and operating system- Experience in external or internal customer facing, complex and large scale project management- Application modernisation patterns and strategies- Containerisation technologies (Docker, Kubernetes, ECS, EKS)- Microservices architecture design and implementation- Serverless computing and event-driven architectures- API design and management- Application refactoring and re-platforming ...

translate it into an actionable plan. Modern Technologist: Strong understanding of modern software development practices, including cloud-native architectures, CI/CD pipelines, containerization, and Infrastructure as Code. Qualifications 10+ years of experience in technology, with at least 7 years in a dedicated application security or product security role. Demonstrated ...

startups, venture teams, or technology scouting functions. (Desirable) Familiarity with vector databases, retrieval-augmented generation (RAG), or knowledge graph-based retrieval. (Desirable) Experience with containerization and cloud-native deployment (Docker, Kubernetes) for AI services. (Desirable) Prior exposure to financial services, banking, or other highly regulated industries. (Desirable) Experience presenting technical ...

compatible storage) Strong knowledge of AI/ML data pipelines, including data ingestion, preprocessing, and model training workflows Hands-on experience with containerization (Docker, Kubernetes) and orchestration tools in HPC/AI environments Familiarity with cloud storage platforms Experience in data lifecycle management, data versioning, and metadata management Solid understanding ...

awareness, human-in-the-loop design. Cost and performance optimisation: model selection, caching, batching, token economics, latency budgets. Deployment and operations: CI/CD, containerisation, monitoring and alerting for AI workloads. Data processing fundamentals: pipelines, transformation, validation, anomaly handling. Customer- or stakeholder-facing delivery experience: consultancy, forward-deployed engineering, solutions ...

awareness, human-in-the-loop design. Cost and performance optimisation: model selection, caching, batching, token economics, latency budgets. Deployment and operations: CI/CD, containerisation, monitoring and alerting for AI workloads. Data processing fundamentals: pipelines, transformation, validation, anomaly handling. Customer- or stakeholder-facing delivery experience: consultancy, forward-deployed engineering, solutions ...

operational, security and technical requirements into coherent end-to-end solution designs. Familiarity with modern technology ecosystems, including cloud platforms (Azure and AWS), APIs, containerisation, Kubernetes, event-driven architectures and COTS integrations. Experience producing architecture artefacts, integration views, data flow models and assurance documentation for complex programmes. Understanding ...

awareness, human-in-the-loop design. Cost and performance optimisation: model selection, caching, batching, token economics, latency budgets. Deployment and operations: CI/CD, containerisation, monitoring and alerting for AI workloads. Data processing fundamentals: pipelines, transformation, validation, anomaly handling. Customer- or stakeholder-facing delivery experience: consultancy, forward-deployed engineering, solutions ...

using CI/CD tools, building pipelines, templates and troubleshooting. Experience with applying high availability across cloud architectures, ideally including multi-cloud. Experience with containerisation technologies such as Kubernetes and Docker. A customer-focused, commercially aware and data-informed approach to your decision making. Ability to manage cross-team dependencies ...

scale What you'll need Strong proficiency in Python and SQL, with a solid backend or data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processes at scale, including web scraping ...

scale What you'll need Strong proficiency in Python and SQL, with a solid backend or data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processes at scale, including web scraping ...

data. Experience working in a regulated environment (e.g., Medical Devices, HealthTech) or dealing with clinical data. Knowledge of cloud platforms (AWS/GCP) and containerization (Docker). Experience with Large Language Models (LLMs) and Generative AI techniques and their applications in healthcare or data synthesis. Ability to leverage AI productivity ...

proficiency in modern backend languages such asKotlinand/orPython. Extensive experience withmicroservices architectureand developing scalable, resilient services. Demonstrated experience deploying and managing applications within containerization platforms likeKubernetesandOpenShift. Frontend Expertise: Experienced inPython-based frontend frameworks(e.g., Dash, Streamlit, or other relevant Python web frameworks) would be desirable. DevOps & Modern SDLC : Deep ...

ways of working. Hands-on grounding in modern data science and software delivery (e.g. Python/R, cloud, app development frameworks, CI/CD, containerisation). Experience establishing responsible-AI, model-governance and data-quality practices. Experience with Generative AI tools and frameworks and their responsible application to business problems. ...

govern complex technical architectures supporting systems integration, modelling and simulation, distributed computing, data exploitation, operational CIS, and federated training environments. Knowledge of microservices, containerisation, orchestration platforms, and modern software deployment architectures. Knowledge of IT infrastructure, data centre technologies, server and virtualisation platforms, distributed edge-compute environments, networking, communications systems, cyber ...

code as your default, with experience maintaining a Terraform estate. Real depth with relational databases: schema migrations, failovers, upgrades and performance work. Experience with containerisation in production. A genuine drive to work in an AI‐native way - you're curious and happy to change how you work as the tools ...

scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some of the following: Experience with speech-to-text or text-to-speech Contributions to open-source projects or published ...

wide range of stakeholders, including both technical and non-technical. Proficiency in cloud computing services like AWS and Azure. Hands-on experience with containerization technologies, particularly Kubernetes. Advanced skills in utilizing log analysis tools such as Splunk. Leadership in architecture and design. Experience in implementing and managing cybersecurity measures ...

Experience building and maintaining RAG pipelines, agent frameworks, MCP servers or equivalent function-calling architectures, and conversational interfaces. Familiarity with cloud platforms, REST APIs, containerization, and modern deployment environments. Experience with observability, evaluation, experimentation, and feedback loops for AI systems in production. Ability to work independently, manage ambiguity, move quickly ...

using Node.js , Next.js , and Angular . Build and maintain microservices architecture deployed on GCP . Implement DevOps best practices , including CI/CD pipelines, containerization, and infrastructure automation. Ensure application security and compliance with industry standards (OAuth 2.0, OIDC, CORS, CSRF). Collaborate with cross-functional teams to deliver high … Azure experience also relevant). DevOps : Familiarity with CI/CD tools (GitHub Actions, GitLab), IaC (Terraform, Ansible), and monitoring tools (Datadog, Grafana). Containerization : Docker and Kubernetes. APIs : REST, GraphQL, OpenAPI. Databases : SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). Testing : Unit and functional testing (Jest, Cypress, Mocha). ...

deploy LLM‐based applications (e.g., chatbots, assistants, knowledge extraction tools). Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC. Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment. Build intuitive interfaces that enable teams to interact effectively with … design. Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI). Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure‐as‐Code (Terraform). Proven problem‐solving skills and ability to thrive in fast‐paced environments. Excellent communication and collaboration skills ...

tune, and deploy LLM-based applications (e.g., chatbots, assistants, knowledge extraction tools).Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC.Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment. Build intuitive interfaces that enable teams to interact effectively with … services design. Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI).Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure-as-Code (Terraform).Proven problem-solving skills and ability to thrive in fast-paced environments. Excellent communication and collaboration skills across ...