26 to 50 of 101 Cloud Native Jobs in Glasgow

data processing and transformation, implementing monitoring and alerting mechanisms to maintain pipeline reliability. Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. Lead communities of practice across Software Engineering to promote awareness and adoption of new technologies. Foster a team culture of diversity, opportunity … with experience in query optimization and performance tuning. Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar). Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.). Strong understanding of data quality, security, and lineage best practices. Experience with cloud-based ...

Join a team that is redefining what's possible in cloud infrastructure engineering — where your contributions directly shape the technology powering global fixed income markets. At JPMorganChase, you'll work alongside talented engineers and product owners in a collaborative, growth-oriented environment that values curiosity, inclusion, and technical excellence. … This is an exciting opportunity to build your skills in cloud-native infrastructure at scale, contribute to cutting-edge financial technology, and grow across both infrastructure and application development. If you're passionate about building resilient systems and want your work to have real-world impact, this ...

genuine step up for someone looking to sharpen their capital markets know-how while stepping into leadership and mentoring, with hands-on access to cloud-native tools, cutting-edge Java work and AI. On the development side, you'll build and support in-house systems, APIs, reporting tools … write clean, thoroughly tested code grounded in SOLID principles, Design Patterns and Clean Code. You'll also work with microservices and event-driven architectures, cloud platforms such as AWS, Azure or GCP, and infrastructure-as-code tools like Terraform. Testing coverage will rely on JUnit, Spock and Mockito, applying ...

hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION We are building the next generation of intelligent, cloud-native systems - and we want you to help lead the way. At JPMorganChase, you'll work at the intersection of software engineering, artificial intelligence, and cloud … build intelligent systems leveraging large language models and agentic approaches, expose capabilities through well-designed APIs and microservices, and operate confidently across a multi-cloud environment - ensuring portability, security, and reliability at every layer. Job responsibilities Lead initiatives end-to-end - from requirements clarification and architecture through implementation, testing ...

collaboration with Firmwide Data Office and other Divisional Data OfficersCollaborate with SME teams building and scaling data platforms (data lakes, warehouses) across on-prem, cloud, and hybrid environments. Implement semantic layers for consistent, governed data views, enabling self-service analytics and explainable AIOversee data quality processes and enforce standards … minimize data duplication and ensure trusted data. Recommend and implement cloud-native solutions for scalability, resilience, and business continuity. Drive modernization of infrastructure systems through cloud adoption, automation, and software-defined technologies. Governance & ComplianceConduct architecture reviews ensuring alignment with regulatory, security, and enterprise standards. Maintain reference architectures ...

Hands-on practical experience delivering system design, application development, testing, and operational stability Proficiency in automation and continuous delivery methods (CI/CD) Practical cloud-native experience across private cloud VSI and Kubernetes, including a clear understanding of the trade-offs between the two Strong understanding … Bash for tooling, orchestration, and operational tasks Preferred qualifications, capabilities, and skills Certifications a plus - CKA, CKAD, AWS (e.g., Solutions Architect, DevOps Engineer) Private cloud VSI vs. Kubernetes platform experience - provisioning, deploying, and operating workloads on Virtual Server Instances alongside container orchestration platforms Load balancing - L4/L7 load ...

Summary: Are you ready to make a real impact in cloud financial management technology? At JPMorganChase, you’ll collaborate with talented teams to deliver secure, scalable, and market-leading products. Here, you can push the boundaries of what’s possible while growing your skills and advancing your career. … passion for technology. Join us and be part of a team where your contributions matter. As a Lead Software Engineer in the Cloud Financial Management technology team, you will play a key role in designing and delivering trusted technology solutions. You will work within an agile environment, collaborating with ...

service level indicators, service level objectives, and error budgetsDesigns, implements, and maintains operational reliability for large-scale OpenTelemetry pipelines on hybrid on-prem/cloud environments, supporting telemetry ingestion, processing, and export to backends such as InfluxDB, Prometheus, Elasticsearch, and OpenSearchDrives the assessment, refactoring, and incremental migration of custom … security, enterprise system architecture, toil reduction, and other site reliability best practices, with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, observability, distributed systems, etc.)Advanced proficiency in one or more programming languages (e.g., Java, Python, Go, etc.)Advanced proficiency and experience in observability such ...

Python and/or shellDeep hands-on experience with CI/CD tooling and building release automation at scaleStrong experience with Kubernetes, containerisation, and cloud-native operationsProven experience running production services: observability, on-call, incident response, and reliability engineeringUnderstanding of production security and change-management controlsStrong communication skills … skillsExperience operating ML/LLM workloads in production (MLOps, inference reliability, cost/performance management)Experience within financial services technologyFamiliarity with JPM-internal platform, cloud, and observability tooling for internal candidatesJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most ...

/or shell Deep hands-on experience with CI/CD tooling and building release automation at scale Strong experience with Kubernetes, containerisation, and cloud-native operations Proven experience running production services: observability, on-call, incident response, and reliability engineering Understanding of production security and change-management controls … operating ML/LLM workloads in production (MLOps, inference reliability, cost/performance management) Experience within financial services technology Familiarity with JPM-internal platform, cloud, and observability tooling for internal candidates ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

methodologies, including continuous integration and delivery, application resiliency, and security practicesDemonstrated knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobileHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing … management patterns, build tooling, and testing frameworksExperience with API design and integration patterns, including REST; exposure to event-driven architectures is a plusExposure to cloud technologies and cloud-native development practicesExperience building automated tests across the stack, including unit, integration, and user interface testingJ.P. Morgan ...

including continuous integration and delivery, application resiliency, and security practices Demonstrated knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobile Hands‐on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding … build tooling, and testing frameworks Experience with API design and integration patterns, including REST; exposure to event-driven architectures is a plus Exposure to cloud technologies and cloud-native development practices Experience building automated tests across the stack, including unit, integration, and user interface testing #J ...

models into productionPractical experience with Large Language Models, including prompt engineering, RAG, fine-tuning, and agentic frameworksPractical experience with CI/CD, containerisation, and cloud-native deployment patternsDemonstrated experience delivering system design, application development, testing, and operational stability for ML or data-intensive systemsStrong communication skills with confidence … disciplinesMaster's degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience)Preferred qualifications, capabilities, and skillsIndustry-recognised cloud/GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar)Experience within financial services technology, particularly wealth, private banking, or asset managementExperience ...

enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration … frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance Practical cloud-native experience (AWS, Azure, or GCP) Ability to present and communicate effectively with senior leaders and executives Commitment to inclusive, collaborative teamwork Good problem-solving and analytical ...

enterprise scale Expertise in Python and/or PySpark Advanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana … orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance Practical cloud-native experience (AWS, Azure, or GCP) Ability to present and communicate effectively with senior leaders and executives Commitment to inclusive, collaborative teamwork Strong problem-solving ...

documentation and reports Required Qualifications, Capabilities, and Skills: Bachelor's or Master's degree in computer science, software engineering, or related field Fluency in cloud-native architecture and design across systems Strategic thinking and passion for business strategy and processes Ability to make sound architecture decisions based … ability to influence leaders on safe scaling patterns and reuse. Excellent problem-solving, analytical, and debugging skills Preferred Qualifications, Capabilities, and Skills: Experience with cloud platforms such as Databricks Experience with data analysis and machine learning tools and frameworks Certifications in software engineering, project management, or related fields Experience ...

level indicators, service level objectives, and error budgets Designs, implements, and maintains operational reliability for large-scale OpenTelemetry pipelines on hybrid on-prem/cloud environments, supporting telemetry ingestion, processing, and export to backends such as InfluxDB, Prometheus, Elasticsearch, and OpenSearch Drives the assessment, refactoring, and incremental migration … security, enterprise system architecture, toil reduction, and other site reliability best practices, with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, observability, distributed systems, etc.) Advanced proficiency in one or more programming languages (e.g., Java, Python, Go, etc.) Advanced proficiency and experience in observability such ...

delivery methodsSolid understanding of the Software Development Life CycleWorking knowledge of agile methodologies such as continuous integration/continuous delivery, application resiliency, and securityPractical cloud-native experienceHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation … adherence to resiliency and security expectationsPreferred qualifications, capabilities, and skillsExperience working within asset management, wealth management, or client-facing financial technology platformsFamiliarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud PlatformExposure to event-driven architecture and distributed systems designExperience with modern front ...

understanding of the Software Development Life Cycle Working knowledge of agile methodologies such as continuous integration/continuous delivery, application resiliency, and security Practical cloud-native experience Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting … resiliency and security expectations Preferred qualifications, capabilities, and skills Experience working within asset management, wealth management, or client-facing financial technology platforms Familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform Exposure to event-driven architecture and distributed systems design Experience ...

related quantitative fieldPreferred qualifications, capabilities, and skillsPostgraduate-level qualification in data science, artificial intelligence, or machine learningPractical experience with CI/CD, containerization, and cloud-native deployment patternsExperience within financial services technology, particularly wealth, private banking, or asset managementExperience with Databricks, Kubernetes, or comparable ML/cloud ...

maintainable systems. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design and support CI/CD pipelines using GitHub Actions, AWS CodePipeline, Jenkins, and other tools, with an emphasis on reliability, reusability, and performance. … deep dives, brown bags, internal tech talks, and cross-team collaboration, advocate for security best practices across the software development lifecycle using AWS-native tools and DevSecOps principles. YOUR SKILLS AND EXPERIENCE Extensive experience in DevOps/DataOps roles with demonstrated impact in building, scaling, including progressive delivery strategies ...

ready to make a real impact in cloud financial management technology? At JPMorganChase, you'll collaborate with talented teams to deliver secure, scalable, and market-leading products. Here, you can push the boundaries of what's possible while growing your skills and advancing your career. We value creativity, innovation … passion for technology. Join us and be part of a team where your contributions matter. As a Lead Software Engineer at JPMorganChase within the Cloud Financial Management technology team, you will play a key role in designing and delivering trusted technology solutions. Working within an agile environment, you will ...

CycleAdvanced understanding of agile methodologies, including CI/CD, application resiliency, and securityDemonstrated proficiency in software applications and technical processes within a technical discipline (cloud, artificial intelligence, machine learning, mobile, etc.)Practical cloud-native experienceProficient in working with SQL and NoSQL databasesPreferred Qualifications, Capabilities, and Skills: Experience … designing and delivering scalable solutionsCloud certification (AWS, Cloud Foundry, etc.)Previous experience in post-trade, margin, and collateral processingIf you're looking for a place where your ideas are valued and your growth is supported, join us and help shape the future of technology at JPMorganChaseJ.P. Morgan ...

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 ...

stability at enterprise scaleExpertise in Python and/or PySparkAdvanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration … frameworks (Airflow, Temporal)Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governancePractical cloud-native experience (AWS, Azure, or GCP)Ability to present and communicate effectively with senior leaders and executivesCommitment to inclusive, collaborative teamworkStrong problem-solving and analytical skillsAdaptability ...