901 to 925 of 1,361 Cloud Native Jobs in the UK

will define the strategic OT/IT convergence roadmap while actively building, deploying, and troubleshooting complex containerized edge workloads, secure network topologies, and edge-native machine learning pipelines. Strategic Consulting & Client Leadership Customer-Facing Authority: Act as the primary technical anchor for enterprise clients, translating complex, high-stakes industrial … requirements into scalable, secure, and highly available edge-to-cloud architectures. AI & IoT Roadmapping: Drive the technical strategy for competitive bids and RFIs/RFPs, delivering proof-of-concepts (PoCs) that showcase the convergence of IoT telemetry with generative and predictive AI. Cross-Functional Orchestration: Lead and mentor global ...

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 ...

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/ ...

organisation. Location: Reading (Hybrid – 2–3 days onsite) Clearance: Active or lapsed SC clearance required Key Responsibilities Lead the design and delivery of cloud-based data architectures and pipelines. Establish and enforce engineering standards, DataOps/DevOps practices, and automation frameworks. Drive adoption of modern cloud-native … years’ experience in data engineering or enterprise-scale data platform development. Strong expertise in SQL, Python, Spark, and modern data frameworks. Proven experience with cloud platforms (Azure, AWS, GCP). Background in highly regulated industries (aerospace, defence, manufacturing) is desirable. Professional certifications (AWS, Azure, GCP, TOGAF, DAMA CDMP) advantageous. ...

while working closely with business, engineering and delivery teams to guide implementation and investment decisions. Apply modern architecture practices including microservices, event-driven design, cloud-native technologies and DevOps, leveraging approved AI-enabled workflows where appropriate to improve productivity, design quality and delivery outcomes while maintaining human oversight. … across Faster Payments, Bacs, CHAPS, SWIFT, SEPA, Open Banking, ISO 20022 and related payment ecosystems. Deep expertise in enterprise and solution architecture, distributed systems, cloud technologies, modern engineering practices and recognised frameworks such as TOGAF and Domain-Driven Design. Strong consulting, stakeholder management and leadership experience with the ability ...

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 ...

high-performing team. What you'll be doing Designing and building scalable Python backend services. Developing AI-powered platforms and reusable components. Working with cloud-native technologies and modern engineering practices. Building and maintaining infrastructure using Infrastructure as Code. Collaborating with engineers, data specialists and technical leads … learning new technologies. Strong communication and collaboration skills. Nice to have Experience working with AI/LLMs or machine learning technologies. Exposure to cloud architecture and distributed systems. Experience working within highly regulated environments. Why apply? Join a newly established AI Centre of Excellence with significant investment. Work ...

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 ...

clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot and Agentic … steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, Google Cloud AI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define ...

clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot and Agentic … steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, Google Cloud AI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define ...

ensuring successful deployment into production environments. You'll work alongside senior engineers, continuously improving your technical skills and contributing to the evolution of a cloud-native, distributed platform. This is more than a software engineering role-it's a chance to work on a strategic transformation project alongside … planning, estimation, and prioritisation activities. Contribute to solution design and development, focusing on back-end services and APIs in .NET C# within a cloud-based distributed architecture. Implement and maintain Infrastructure as Code (IaC) using AWS CDK (Python preferred) to automate deployment and resource management. Ensure high-quality code ...

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 ...

infrastructure. Key responsibilities include: Designing and developing high-quality Python applications and services Building and maintaining scalable ETL processes and financial data pipelines Developing cloud-based quantitative research and production infrastructure Integrating and managing multiple financial data vendors Building research-ready datasets for quantitative researchers and portfolio managers Supporting … processes and large-scale financial data pipelines Strong Azure experience Docker and Kubernetes Apache Airflow GitHub and CI/CD (GitHub Actions) Experience building cloud-native research or production platforms Experience working with market data, security master data and financial data vendors Previous experience within systematic or quantitative ...

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 ...

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 ...