626 to 650 of 978 Cloud Native Jobs in England

through testing, deployment and production support. Promote engineering best practices, including automated testing, version control and CI/CD. Deploy and maintain applications within cloud-native and containerised environments. Collaborate with cross-functional teams to continuously improve data platforms supporting pricing, risk, analytics and investment processes. Required Skills … scalable data services, APIs, data pipelines or data platforms. Solid software engineering practices including automated testing, Git and CI/CD. Experience working with cloud platforms, ideally AWS. Experience with Docker or other containerisation technologies. Knowledge of Snowflake and NoSQL databases such as MongoDB. Experience working with large-scale ...

Analysing and assessing legacy applications, primarily developed in Gen. Executing application migrations using TXP's automated conversion tooling. Supporting the migration of applications to: Native COBOL environments (CICS, IMS-DC and DB2) Modern platforms including Java, Spring Boot, .NET, Angular and cloud technologies Defining migration approaches for databases … following: COBOL, CICS, IMS-DC and DB2 environments Mainframe technologies and tooling including ISPF, SCLM, SPUFI and JCL Java, Spring Boot, .NET, Angular or cloud-native technologies Legacy application development and support Application migration, re-platforming or modernisation programmes Automation tooling, scripting or development CI/ ...

business growth. Job Summary As a Lead Software Engineer at JPMorgan Chase within the Payments team, you will develop technical solutions for a fully cloud‐based payments application, focusing on high performance and low latency. You will build new payment flows end to end, from understanding business requirements … agile methodologies, including CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) Knowledge of the financial services industry, IT systems, and practical cloud‐native experience Preferred Qualifications, Capabilities ...

Solutions Architect to join their expanding team. This is an opportunity to work on high-profile Defence programmes, helping to shape and deliver secure cloud, infrastructure and software solutions for MOD customers. The Role As a Solutions Architect, you'll take ownership of solution design across a range … software, infrastructure and cloud-based projects. You'll work closely with technical teams and Defence stakeholders, leading architecture decisions from initial requirements through to implementation and delivery. You'll be responsible for: Producing high and low-level solution designs Defining technical architectures for cloud, infrastructure and software solutions ...

developing engineering teams, fostering a high‐performance culture. Solid technical background with hands‐on experience in modern software development (e.g. Python, Java, microservices, cloud‐native technologies). Proven ability to design and deliver scalable, resilient platforms in complex, business‐critical environments. Strong stakeholder management skills, able to work … Markets or knowledge of structured products/structured notes. Familiarity with workflow orchestration tools (e.g. Camunda) or event‐driven architectures. Exposure to containerisation and cloud platforms (e.g. OpenShift, Kubernetes). Benefits of working at Bank of America Private healthcare for you and your family plus an annual health screen. ...

powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs … veteran About You 5+ years of experience in a technical sales, professional services, solutions consulting, or customer-facing role within the software delivery, DevOps, cloud, or developer tooling ecosystem. 5+ years of experience as a manager or technical lead for teams in software engineering, devops software delivery, DevOps, cloud ...

business growth. Job Summary As a Lead Software Engineer at JPMorgan Chase within the Payments team, you will develop technical solutions for a fully cloud-based payments application, focusing on high performance and low latency. You will build new payment flows end to end, from understanding business requirements … agile methodologies, including CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) Knowledge of the financial services industry, IT systems, and practical cloud-native experience Preferred Qualifications, Capabilities ...

JPMorgan Chase & Co. in Bournemouth, UK is seeking a Software Engineer III to join our Public Cloud team. You will design and deliver cloud-native solutions that are secure, scalable, and production-ready, working in an agile environment across multiple business functions. The role emphasizes hands ...

Drive successful delivery of complex software projects and technology initiatives. Champion contemporary Agile principles and modern software engineering practices. Promote secure, scalable and resilient cloud-native solutions. Work closely with stakeholders to align engineering priorities with business objectives. Contribute to technology investment and prioritisation discussions. About … technology roadmaps. A people-first leadership style with a passion for coaching and mentoring. Strong knowledge of Microsoft Azure, C#, APIs, microservices and modern cloud architectures. A deep understanding of contemporary Agile principles and engineering best practice. Excellent communication and stakeholder management skills. What's on Offer ...

Design and implement production‐level ML and AI workloads, including end‐to‐end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud‐native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool‐calling, multi‐agent … Experience: 10+ years of hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques ...

agile methodologies, including CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile) In‐depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities ...

latency, high throughput, high availability). Strong understanding of the pre‐trade lifecycle, including pricing and documentation generation workflows. Working knowledge of public cloud platforms such as GCP and/or AWS, including cloud‐native patterns and operational considerations. Being open to different points of view ...

understand reconciliation loops, custom resources, and how operator-driven infrastructure differs from imperative provisioning. Hands-on with at least one of GCP (GKE, Cloud SQL, Pub/Sub, Secret Manager) or Azure (AKS, Azure DB for PostgreSQL, Key Vault), and willing to learn the other. Clear written communication RFCs … backend systems (APIs, event handling, clean architecture patterns) Deliver high quality frontend experiences with accessible components and strong data/state management Work with cloud native, declarative infrastructure (Kubernetes, Crossplane, CRDs) Maintain high standards across testing (unit, integration, contract) and code quality Apply strong security practices across backend ...

architectures. You will be given the opportunity to work hands‐on with leading Zero Trust platforms and develop foundational knowledge of modern identity‐centric, cloud‐first security models. As part of a collaborative team, you will assist in shaping secure solutions, contribute to strategic roadmaps, and support secure transformation … Zero Trust architectures for enterprise environments, supporting senior team members in covering users, devices, applications, data, and networks. Supporting secure access patterns using cloud‐based security and zero‐trust platforms under guidance. Contributing to enterprise‐wide security blueprints and reference architectures aligned with Zero Trust principles, including data protection ...

Design and implement production-level ML and AI workloads, including end‐to‐end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud‐native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool‐calling, multi‐agent … Experience: 10+ years of hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques ...

Design and implement production-level ML and AI workloads, including end‐to‐end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud‐native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool‐calling, multi‐agent … Experience: 10+ years of hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques ...

Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent … Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques ...

following lists. You should have: 3+ years of experience building or scaling internal developer platforms or sophisticated CI/CD ecosystems Deep understanding of cloud-native primitives (Compute, Networking, Storage) and the ability to implement them across different providers or hybrid environments Proven ability to manage container orchestration … enterprise level, including backup/restore and high-availability strategies Proven experience migrating workloads between platforms (e.g., EC2 to EKS, or cross-cloud) with a focus on data integrity and minimal downtime Ability to implement standardized telemetry pipelines (e.g., OpenTelemetry, Prometheus, or ELK) that provide developers with ...

controls. Stakeholder Collaboration Influence security outcomes through collaboration and technical leadership rather than enforcement. Contribute to security enablement, awareness, and uplift initiatives focused on cloud‐native and container security practices. What you’ll bring You’re someone who brings: Clear, confident communication (written and verbal), and the ability … runtime. Proven experience securing CI/CD pipelines and developer toolchains. Knowledge of: Infrastructure as Code (Terraform, Bicep, CloudFormation, etc.) Secrets and key management Cloud identity and access management Solid understanding of information security frameworks (e.g. ISO 27001). Experience operating in regulated or audited environments. Able to design ...

data acquisition and feature engineering through to deployment and optimisation Developing scalable ML pipelines and engineering frameworks AI model training, evaluation, optimisation and deployment Cloud-native AI and data platforms across Azure, AWS and GCP MLOps tools and best practices for deployment, monitoring and governance Structured and unstructured … Scikit-learn or similar frameworks Strong understanding of machine learning algorithms, deep learning architectures and model deployment practices Experience with Azure, AWS or GCP cloud environments Knowledge of data engineering principles including ETL processes, data pipelines and automated workflows Experience working with structured and unstructured data Understanding of MLOps ...

agile methodologies, including CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile) In-depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities ...

real impact. Lead Machine Learning Scientist – International Consumer Bank Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design … fundamental concepts from probability, statistics, linear algebra and calculus. Collaborative, humble and enthusiastic attitude. Preferred Qualifications, Capabilities and Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc. Experience in deep neural networks and familiarity with the latest developments in related fields. Experience in LLM model fine ...

will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design … fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities and skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc Experience in deep neural networks and familiarity with the latest developments in related fields Experience in LLM model finetuning ...

DAST, SDLC) with practical threat modelling experience – enough to challenge and coach our most senior application security engineers. Hands‐on understanding of data security, cloud data warehouses, and pipeline integrity – enough to ensure we are driving the right programme of work across our technology department. Cloud security fluency … with working knowledge of container and Kubernetes security, IAM design, and cloud‐native security tooling – enough to clearly identify, prioritise and challenge solutions for implementing security in our cloud environment. Working knowledge of AI/LLM security risks: enough depth to assess integrations, define guardrails, and evolve ...

recruiters find the right match. Our teams deliver data products, search and recommendations, and intelligent user dialogue capabilities using modern engineering practices, AI and cloud-native technology. Within this org, our User Dialogue team, are building the next generation of conversational and agentic AI experiences. This includes intelligent … Java, TypeScript or .NET, and a proven track record delivering production‐grade systems. Experience designing, building and operating distributed systems on AWS (or similar cloud platforms), including secure development, data protection, compliance and enterprise architecture principles. Hands‐on experience integrating LLMs into production, including use of APIs (e.g. OpenAI ...