751 to 775 of 3,630 Cloud Native Jobs in the UK

years applied experience Advanced proficiency in Python and infrastructure-as-code, with modern software engineering practices Deep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns Strong CI/CD experience and a track record of building deployment and release automation Experience serving, scaling, and monitoring … skills Site Reliability Engineering (SRE) experience and familiarity with reliability practices (SLOs, error budgets) Experience within financial services technology Familiarity with JPM-internal platform, cloud, and AI/ML infrastructure for internal candidates ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

Engineering, Mathematics, or a related technical field. Preferred Qualifications, Capabilities, and Skills Experience with market data venue and vendor data platforms. AWS experience; practical cloud native/cloud experience is a plus. Experience with Terraform and Kubernetes for managing production environments in public cloud. Strong knowledge ...

risk management are embedded in the solution. Produce clear data architecture documentation using standards such as conceptual, logical and physical models, C4, Archimate, and cloud-native diagrams, including high-level designs and relevant data artefacts. Key Experience: Extensive experience in stakeholder engagement and senior-level communication, including … including performance, scalability, security, and compliance. Broad experience with data governance, data quality, master data management, and regulatory requirements. Key Skills: Advanced knowledge of cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience ...

develop, and maintain scalable data pipelines, integrations, and transformation processes across multiple data sources. Lead the implementation and optimisation of Microsoft Fabric and associated cloud-based data engineering solutions. Build and maintain enterprise data products, data models, and structured datasets that support reporting, analytics, and operational decision-making. Establish … priorities and deliver high-quality outputs within project timescales. Desirable Experience Experience within engineering, infrastructure, construction, programme controls, PMO, or consultancy environments. Experience with cloud-native architectures, DevOps, CI/CD pipelines, and DataOps practices. Knowledge of Python, Spark, PySpark, Databricks, or equivalent data engineering technologies. Information Management ...

applications in React, Python-based analysis tools, and a range of backend services in C#. We’re also on an active modernisation journey, adopting cloud-native technologies and modern data platforms — so there’s real opportunity to shape how we build and grow. What you’ll be doing … genuine desire to build impactful solutions for specialist engineering users The following would be a bonus, though not essential: Experience with containerisation, DevOps, and cloud platforms such as Azure or AWS Familiarity with logging, monitoring, and observability tooling Experience using document, object, or time-series datastores A background ...

will: Lead the day-to-day management, reliability and continuous improvement of ITRS’ Analytics SaaS platform, with a strong focus on Kubernetes-based services, cloud-native operational excellence and measurable service outcomes. Provide proven technical leadership for a hands-on SaaS engineering team, setting clear standards, coaching engineers … reliability and operational outcomes. Deep practical knowledge of Kubernetes operations, including deployments, upgrades, networking, storage, ingress, secrets, autoscaling, workload troubleshooting and cluster reliability. Strong cloud operations experience across AWS, Azure or GCP, with the ability to design and operate secure, resilient and cost-aware infrastructure. Hands-on experience with ...

looking for: Essential Proven hands-on experience developing enterprise applications using C#\/NET. Expertise in designing and delivering APIs, integrations, distributed systems and cloud-native applications. A solid understanding of software architecture, system design, scalability, resilience and security principles. Experience working with cloud technologies such ...

looking for: Essential Proven hands-on experience developing enterprise applications using C#/.NET. Expertise in designing and delivering APIs, integrations, distributed systems and cloud-native applications. A solid understanding of software architecture, system design, scalability, resilience and security principles. Experience working with cloud technologies such ...

machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices … Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal ...

machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices … Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal ...

deliver advanced AI solutionsleveragingstate-of-the-artmachine learning,generativeand agenticAI technologies. You will drive the adoption of modern AI frameworks,AIOps best practicesand scalable cloud-native architectures. Your role will involve hands-on technicaldelivery, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible … Python skills with a grounding in software engineering best practices(CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertisein data engineering for AI: handling large-scale, unstructured, and multimodal data. ...

demonstrated experience in building robust systems or applications. Extensive background in software architecture and solution design, with deep expertise in microservices, distributed systems, and cloud-native architectures. Deep understanding of software development principles, including design patterns, modular architecture test-driven development (TDD), and version control (e.g. Git). … sharing. Experience you’d be expected to have A bachelor’s degree in computer science, information technology or any relevant field. Strong knowledge of cloud concepts, architecture patterns, and best practices. Proven experience in designing, implementing and maintaining Software solutions. Hands-on experience with any cloud ...

collaboration skills Ability to adapt quickly, learn new technologies, and thrive in fast-paced environments Desirable Experience Jetpack Compose Secure development practices DevOps and cloud-native technologies Experience delivering software within Defence, National Security, or other highly regulated environments Why Apply? Work on meaningful projects supporting critical operations ...

record of building and managing high performance, cross-functional engineering teams, working in an Agile environmentDemonstrable experience designing, developing and maintaining distributed, event-driven, cloud-native systemsExpert in the latest versions of .NET Framework and .NET Core (C#)Experience in API (REST, GraphQL) design and developmentExperience in relational … database design and optimization (MSSQL, MySQL, etc.)Experience in the deployment and management of cloud (AWS, Azure, etc.) assetsDemonstrable understanding of the full SDLC, proactive involvement in shaping the delivery prior and during development, through QA phase, and post-release supportBe pragmatic and delivery-focused, evaluating/challenging designs ...

Here’s a summary of the role: Build cloud software that matters, grow your technical depth, and use modern AI tooling to do your best work. This is a hands-on engineering role for someone who enjoys solving product problems, writing clean code, and helping services run reliably … part of a collaborative product engineering team where you can own features, contribute to design discussions, support production systems, and keep growing across backend, cloud, and AI-assisted development workflows. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Design, build ...

more programming languages, particularly Python and/or PySpark Advanced knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, and orchestration frameworks Working knowledge of relational and NoSQL databases, vector … stores, and data lake architectures Familiarity with observability tools and frameworks Practical cloud-native experience (AWS, Azure, or GCP) Ability to communicate effectively with senior leaders and executives Commitment to inclusive, collaborative teamwork Strong problem-solving and analytical skills Preferred qualifications, capabilities, and skills Experience with modern data ...

proficiency across relevant technologies and tools, including Java, PL/SQL, JavaScript, Git and CI/CD pipelines.Expertise in designing, building and operating scalable cloud-native applications with a strong focus on performance, security and resilience.Excellent communication skills, with the ability to explain complex technical concepts to both … essential.Tech StackThe team uses a variety of modern technologies, including:Backend: Java, Spring, Spring Boot, MicronautFrontend: React, Next.js, TypeScript, AngularCloud & Infrastructure: Azure Cloud, KubernetesObservability: DynatraceDatabases: SQL Server, MongoDBCaching & Performance: Ignite, RedisWhat’s in it for you Working at M&S means being part of something bigger – helping to deliver ...

proficiency across relevant technologies and tools, including Java, PL/SQL, JavaScript, Git and CI/CD pipelines.Expertise in designing, building and operating scalable cloud-native applications with a strong focus on performance, security and resilience.Excellent communication skills, with the ability to explain complex technical concepts to both … essential.Tech StackThe team uses a variety of modern technologies, including:Backend: Java, Spring, Spring Boot, MicronautFrontend: React, Next.js, TypeScript, AngularCloud & Infrastructure: Azure Cloud, KubernetesObservability: DynatraceDatabases: SQL Server, MongoDBCaching & Performance: Ignite, RedisWhat’s in it for you Working at M&S means being part of something bigger – helping to deliver ...

across relevant technologies and tools, including Java, PL/SQL, JavaScript, Git and CI/CD pipelines. Expertise in designing, building and operating scalable cloud-native applications with a strong focus on performance, security and resilience. Excellent communication skills, with the ability to explain complex technical concepts … essential. Tech StackThe team uses a variety of modern technologies, including: Backend: Java, Spring, Spring Boot, MicronautFrontend: React, Next.js, TypeScript, AngularCloud & Infrastructure: Azure Cloud, KubernetesObservability: DynatraceDatabases: SQL Server, MongoDBCaching & Performance: Ignite, RedisWhat's in it for you? Working at M&S means being part of something bigger – helping ...

more programming languages, particularly Python and/or PySpark Advanced knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, and orchestration frameworks Working knowledge of relational and NoSQL databases, vector … stores, and data lake architectures Familiarity with observability tools and frameworks Practical cloud-native experience (AWS, Azure, or GCP) Ability to communicate effectively with senior leaders and executives Commitment to inclusive, collaborative teamwork Strong problem-solving and analytical skills Preferred qualifications, capabilities, and skills Experience with modern data ...

with modern front-end technologies such as React and/or AngularExperience with container platforms and platform-as-a-service environments, including Kubernetes and Cloud FoundryFamiliarity with Generative AI tools and patterns — including prompt engineering, retrieval-augmented generation, and vector search/embeddings — and safe, secure adoption practicesFamiliarity with … financial services technology environments and enterprise-grade controls and standardsPractical experience with cloud-native development, including containerization, observability, resiliency patterns, and incident response participationJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals ...

manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands … architectures.Understanding of MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model ...

manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands … architectures.Understanding of MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model ...

manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands … architectures.Understanding of MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model ...

manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands … architectures.Understanding of MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.Awareness of responsible AI and GenAI practices, including model ...