Trabajos chase en GlasgowCrear alertas

Assistant Planner (Construction) Glasgow South Side - 25-28K DOE CBW are looking for a Assistant Planner to join a construction team, supporting the delivery of renewable installation and Energy as a Service programme. This is an excellent opportunity for someone who is organised, proactive and keen to develop a career in project coordination. You don't need previous experience in renewable energy, construction or installation they will provide structured on-the-job training and support to help you develop your skills. Working closely with Project Coordinators and the Site Team, youll play an important role in keeping projects moving, ensuring appointments are coordinated, documentation is complete and information is accurately recorded. As your knowledge and confidence grow, youll gradually take on more responsibility, with the opportunity to progress towards a Project Coordinator position. Key Responsibilities Scheduling & Project Coordination Support Project Coordinators with the planning and scheduling of installation works. Help coordinate surveyors, installers and contractors to meet customer, client and funder deadlines. Assist with arranging site access, customer appointments and pre-installation requirements. Keep project schedules Assist with preparing, issuing, and tracking job packs, checking that required paperwork, permissions, and compliance documentation are in place prior to works commencing. Support accurate record-keeping within Big Change, learning to log job cards, timesheets, and completion evidence correctly. Help chase outstanding documentation from surveyors, installers, and contractors, escalating persistent gaps to the Project Coordinator. To be considered: Some experience in an administrative, customer service, or support role; previous experience within construction, installation, or renewable energy is not essential. Good organisational skills with a willingness to learn how to manage multiple schedules, deadlines, and stakeholders. Confident user of Microsoft Office (particularly Excel), with the ability to quickly learn new systems such as Big Change. Good written and verbal communication skills, with a professional manner when dealing with clients, contractors, and internal teams. Good attention to detail, particularly when supporting compliance documentation and job records. A proactive, enthusiastic approach to learning, taking direction, and building new skills. Ability to work well as part of a team, taking direction from Project Coordinators and Project Managers. Salary & Benefits: 25-28K 28 days holiday Private pension Growth & development TPBN1_UKTJ

hackajob is partnering with JPMorgan Chase to hire for a Senior Manager - SRE role. You will lead a small team of SRE engineers, scale an AI/ML data platform, and drive reliability across cloud data services in a demanding financial services environment. In this position you will manage 3-7 SRE engineers, implement best-practice SRE processes, and collaborate with cross-functional teams to deliver secure, scalable solutions. The role emphasizes automation, observability, and incident response. #J-18808-Ljbffr

JPMorgan Chase & Co. is seeking a Lead Software Engineer to drive the design, development, and delivery of secure, scalable software within Corporate Technology. You will lead technical directions, mentor engineers, and shape AI-enabled applications across hybrid data ecosystems. The role requires deep Java/Spring Boot expertise, API design experience (REST/GraphQL), and hands-on cloud and containerization work. #J-18808-Ljbffr

Assume a critical role in defining the future of a globally recognized firm and make a direct, meaningful impact in a space built for top achievers in site reliability engineering. As a Lead Site Reliability Engineer at JPMorganChase within Infrastructure Platforms, you bring deep technical expertise across multiple domains and play a key role in driving reliability outcomes for your team. You will conduct resiliency design reviews, break complex problems into digestible work, act as a technical authority for medium to large-sized products, and share your knowledge and experience with peers to raise the bar across the team. • Consistently champion site reliability culture and practices, documenting and sharing knowledge across your organization through internal forums and communities of practice, • Drive initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels, proactively identifying and resolving technology-related bottlenecks, • Collaborate with your team to identify comprehensive service level indicators and partner with stakeholders to establish reasonable service level objectives and error budgets, • Design and implement observability frameworks and alerting strategies, including white and black box monitoring, service level objective-based alerting, and telemetry collection to ensure proactive detection and response, • Serve as the primary point of contact during major incidents for your application, applying strong diagnostic skills to identify and resolve issues quickly and minimize business impact, • Apply deep technical expertise within one or more technical domains, sharing knowledge and providing guidance to peers across the team, • Drive reuse-first adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational readiness), ensuring traceability, auditability, resiliency, and security controls, • Use enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements, • Formal training or certification on site reliability engineering concepts and advanced applied experience, • Demonstrated hands-on experience with Amazon Web Services (AWS), including deploying, operating, and maintaining resilient, highly available workloads in a cloud environment, • Demonstrated proficiency in reliability, scalability, performance, and enterprise system architecture, with hands-on experience conducting resiliency design reviews and implementing resiliency best practices, • Fluency in at least one programming language such as Python, Java/Spring Boot, or .NET, • Proficient knowledge and experience in observability, including white and black box monitoring, service level objective alerting, and telemetry collection across large-scale production environments, • Proficiency with continuous integration and continuous delivery practices and tooling, • Proficiency with container technologies and container orchestration, • Experience troubleshooting common networking technologies and issues, • Advanced knowledge of software applications and technical processes with emerging depth in one or more technical disciplines, with a demonstrated ability to evaluate and recommend suitable new technologies, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve site reliability engineering workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity, • Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations, • Experience with cloud platforms and infrastructure-as-code tooling in an enterprise environment, • Familiarity with chaos engineering principles and proactive resiliency testing practices, • Experience contributing to communities of practice, internal knowledge-sharing forums, or engineering guilds, • Exposure to advanced observability platforms and distributed tracing in large-scale production environments #J-18808-Ljbffr

Are you ready to shape the future of regulatory technology at JPMorganChase? Here, you'll help drive innovation and operational excellence in one of the firm's most critical business functions. You'll collaborate with talented engineers, product owners, and compliance specialists to deliver impactful solutions. We offer you the chance to work with cutting-edge technologies, contribute to a multi-year modernization journey, and make a real difference in regulatory reporting. Your work will help ensure compliance, efficiency, and resilience across global markets. As a Software Engineer III in the Asset Management Global Regulatory Reporting Technology team, you will design, build, and support cloud-native applications on Mercury, our strategic regulatory reporting platform. You will work closely with cross-functional teams to deliver scalable, resilient, and innovative solutions that support regulatory obligations across multiple jurisdictions. You will help modernize our reporting ecosystem, improve operational efficiency, and drive the responsible adoption of AI and emerging technologies. Your contributions will directly impact the accuracy, scalability, and control of our regulatory reporting processes. • Design, develop, and maintain enterprise-grade applications and microservices using Java and Spring Boot., • Build and maintain scalable APIs, microservices, and cloud-native services on AWS to support regulatory reporting workflows., • Develop modern user experiences, dashboards, and exception management capabilities using React and TypeScript., • Contribute to the software delivery lifecycle, including design, development, testing, deployment, and production support., • Leverage enterprise-authorized AI-assisted engineering tools to accelerate software delivery, testing, troubleshooting, and documentation., • Contribute to the development of intelligent automation capabilities that improve operational efficiency and control effectiveness., • Evaluate and adopt emerging AI and agentic technologies to support the evolution of the regulatory reporting platform., • Design, implement, and optimize controls that enhance data quality, reporting accuracy, and regulatory compliance., • Build resilient, observable, and secure systems that operate reliably within a highly regulated environment., • Formal training or certification in software engineering concepts and applied development experience., • Experience developing enterprise applications using Java and Spring Boot., • Experience building modern web applications using React, TypeScript, or similar frontend frameworks., • Knowledge of software design, application architecture, and distributed systems., • Experience building and consuming RESTful APIs and integrating with relational databases., • Experience building and deploying cloud-native applications, preferably on AWS., • Understanding of CI/CD, automated testing, and agile development methodologies., • Experience using engineering productivity and AI-assisted development tools within the software development lifecycle., • Strong analytical, problem-solving, and communication skills with the ability to collaborate effectively across technical and non-technical teams., • Experience within financial services, capital markets, regulatory reporting, or other highly regulated environments., • Knowledge of regulatory reporting domains such as MiFID, EMIR, SFTR, ASIC, MAS, or related frameworks., • Experience building large-scale data processing and data-intensive applications., • Experience with event-driven architectures, messaging platforms, and streaming technologies., • Experience with observability, monitoring, and production support practices., • Experience using AI-assisted software engineering tools to improve development productivity and software quality., • Familiarity with artificial intelligence, large language models, intelligent automation, or agentic workflow concepts., • Experience applying automation and AI technologies to operational processes, investigation workflows, or decision-support capabilities., • Interest in shaping the future application of AI across enterprise-scale regulatory reporting and controls platforms. Asset Management Global Regulatory Reporting Technology is responsible for Mercury, the strategic regulatory reporting platform supporting the firm's obligations across multiple jurisdictions and asset classes. We partner closely with Compliance, Operations, and business stakeholders to deliver scalable, resilient, and innovative technology solutions that ensure regulatory compliance while driving operational efficiency. Mercury's modern AWS-based architecture is central to our long-term regulatory technology strategy, and our engineers are at the forefront of a multi-year modernization journey focused on cloud-native engineering, intelligent automation, advanced data quality controls, and the responsible adoption of AI technologies. Join us to help define the future of regulatory reporting at JPMorganChase. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. #J-18808-Ljbffr

Build technology that operates at global scale and directly improves the performance and resiliency of critical systems. At JPMorganChase, you'll join an agile team where your ideas and engineering skills help deliver trusted, market-leading products. You'll collaborate with talented peers, solve complex problems, and contribute to solutions that support key business objectives. You'll be supported in growing your technical depth and expanding your impact across modern platforms and domains. As a Software Engineer III in the Commercial and Investment Bank, you will be an integral part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will serve as a core technical contributor responsible for implementing critical technology solutions across multiple technical domains. You will help improve the quality, performance, and resilience of systems that support key business functions. You will contribute to an inclusive team culture where diverse perspectives are valued and respected. • Execute software solutions across design, development, and technical troubleshooting to break down complex problems and deliver innovative outcomes, • Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems, • Produce architecture and design artifacts for complex applications, ensuring design constraints are consistently met throughout the software development lifecycle, • Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to continuously improve software applications and systems, • Identify hidden problems and patterns in data, using insights to improve coding hygiene and system architecture, • Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Contribute to a team culture of diversity, opportunity, inclusion, and respect, • Formal training or certification in software engineering concepts, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Proficiency in Java technologies and frameworks such as Spring and Spring Boot, and REST-based services, • Proficiency in Unix/Linux environments, including the ability to navigate systems, investigate processes, and analyze logs, • Hands-on practical experience in system design, application development, testing, and operational stability, • Experience developing, debugging, and maintaining code in a large-scale environment using one or more modern programming languages and database querying languages, • Understanding of agile methodologies, including continuous integration/continuous 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, • Familiarity with modern front-end technologies and frameworks, • Exposure to cloud technologies and observability platforms such as Splunk and Grafana, • Experience working with distributed messaging systems such as Apache Kafka, • Knowledge of microservices architecture and containerization technologies J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. #J-18808-Ljbffr

Morgan seeks a Lead Data Scientist and Generative Lead to design, build, and run production-grade ML and Generative AI services.

As Lead Data Scientist and Generative Lead within J. Analyze large datasets to extract actionable insights and drive data-driven decision-making. Evaluate and assist hardening of AI powered use cases on enterprise platforms, defining and applying evals and production drift monitoring, supported by a

We have an exciting opportunity to advance your career and drive meaningful impact by pushing the limits of modern engineering. As a Lead Software Engineer at JPMorganChase within Corporate Technology, you will be a key technical leader within an agile team responsible for designing, building, and delivering secure, scalable, and high-performing technology solutions. You will contribute across multiple domains, partnering with business and technology stakeholders to deliver strategic platforms that enable the firm’s objectives. Job Responsibilities • Lead the design, development, and delivery of innovative software solutions, solving complex problems with creative and forward-thinking approaches, • Build and maintain high-quality, secure, and production-grade code, while mentoring and reviewing the work of other engineers, • Drive architecture decisions to ensure scalability, resiliency, and zero-downtime deployments, • Identify opportunities to automate operational processes and eliminate recurring issues, improving platform stability and efficiency, • Develop and implement data-intensive and statistical solutions using Java/Scala on large-scale datasets, • Design and build AI-enabled applications, including AI Agents and agentic workflows, • Work across hybrid data ecosystems (AWS, Databricks, Kubernetes), • Ensure code quality through unit testing, integration testing, and continuous validation practices, • Collaborate with cross-functional teams to deliver end-to-end solutions aligned with enterprise standards Required Qualifications, Capabilities, and Skills • Significant experience in software engineering with formal training or equivalent practical expertise, • Strong proficiency in Java and Spring Boot, with working knowledge of SQL and modern front-end frameworks (e.g., React), • Demonstrated experience in designing scalable, secure, and resilient distributed systems, • Strong understanding of modern architecture patterns (microservices, event-driven, API-first), • Experience with CI/CD pipelines, containerization (Docker, Kubernetes/ECS/EKS), and Infrastructure as Code, • Expertise in API design (REST, GraphQL) and integration patterns, • Hands-on experience building applications on AWS or other public cloud platforms, • Experience with Generative AI systems, including:, • RAG (Retrieval-Augmented Generation) architecture, • AI orchestration frameworks (LangChain, LlamaIndex, etc.), • LLM evaluation frameworks and responsible AI practices (guardrails, content filtering) Preferred Qualifications, Capabilities, and Skills • Deep expertise in Java, object-oriented design, and system design, • Experience with ElasticSearch, Oracle, MongoDB, and modern data platforms, • Proven experience building AI-enabled applications and agentic architecture, • Experience developing reusable AI Agent skills/frameworks to accelerate engineering teams. #J-18808-Ljbffr

As a Java Software Engineer II at JPMorgan Chase within the International Trust Services Technology Team, you are an integral part of an agile team that works to enhance, build and deliver trusted market‑leading technology products in a secure, stable and scalable way. • Executes creative software solutions, design, development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Write secure and high‑quality code using Java and React, with limited guidance., • Leverages enterprise‑authorized AI coding assist tools within the work environment to improve code quality, delivery speed and productivity across complex deliverables (e.g. code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to improve the value realized by automation., • Design, develop and maintain cloud‑native applications on AWS, considering upstream and downstream system impacts., • Apply knowledge of tools within the Software Development Life Cycle to improve automation and operational stability., • Gather, analyze and synthesize data from diverse sources to drive continuous improvement of software applications and systems., • Proactively identify and solve technical problems, contributing to system architecture and coding hygiene., • Collaborate with team members to foster a culture of diversity, opportunity, inclusion and respect., • Contribute to engineering communities of practice and events that explore new and emerging technologies., • Formal training or certification on software engineering concepts applied advanced experience, • Hands‑on experience in system design, application development, testing and operational stability., • Hands‑on experience using enterprise‑authorized AI‑assisted software development tools within the work environment (e.g. for coding, test creation, troubleshooting or documentation) with demonstrated ability to critically evaluate, validate and refine AI‑generated outputs for correctness, performance and security., • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices., • Advanced skills in Java with experience developing, debugging and maintaining code in a large corporate environment, with hands‑on skills in Java 11+, Spring Boot and AWS, • Intermediate‑level familiarity with AWS or other cloud environment., • Strong coding fundamentals, including algorithms and data structures., • Experience across the Software Development Life Cycle and agile methodologies such as CI/CD, application resiliency and security., • Knowledge of software applications and technical processes within a technical discipline (e.g. cloud, artificial intelligence, platform engineering)., • Experience with Transformative AI or LLM driven solutions., • Hands‑on practical experience in building agentic AI platforms for building AI‑driven customer experiences, • Knowledge of software application development and technical processes with considerable in‑depth knowledge in one or more technical disciplines (cloud, artificial intelligence, machine learning, AI agents), • Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines, • Practical cloud native experience #J-18808-Ljbffr

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the CT AWM Finance, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Platform: The CT AWM Finance platform operates daily at enterprise scale— ~42M accounts, ~87M positions, ~8M transactions and ~700k manual adjustments —delivering reliable, audit-ready reporting for MIS Finance, Product Controllers, and Regional CFO teams. Job responsibilities • Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems, • Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development, • Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems, • Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture, • Contribute to software engineering communities of practice and events that explore new and emerging technologies, • Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities, and skills, • Formal training or certification on software engineering concepts and proficient applied experience, • Strong hands-on data engineering experience with Databricks and AWS, • Hands-on practical experience in system design, application development, testing, and operational stability, • Proficiency in coding in Python, • Solid understanding of agile methodologies such as CI/CD, application resiliency, and security, • Overall knowledge of the Software Development Life Cycle, • Curiosity and foundational understanding of Generative AI, large language models, and AI/ML solutions, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications, capabilities, and skills, • Experience working within large-scale financial platforms supporting reporting, reconciliation, or controllership functions, • Familiarity with enterprise-scale data pipelines and event-driven architectures, • Exposure to audit-ready reporting frameworks or financial data governance practices, • Experience contributing to or leading engineering communities of practice #J-18808-Ljbffr

Join one of the world's most innovative technology organizations and help shape the infrastructure that powers it. At JPMorganChase, our engineers don't just build software — they build the platforms that thousands of engineers rely on every day. If you're passionate about cloud-native engineering, security, and developer experience, this is your opportunity to make a lasting impact at scale. As a Lead Software Engineer at JPMorganChase within the Container Platforms group, you will be a core contributor to the Security & Identity team, designing and evolving Kubernetes-based platform capabilities that enable engineering teams to deploy, run, and scale services safely and efficiently. You will work closely with peers across public and private platforms, partnering on security, identity, and usability to deliver a best-in-class developer experience. This is a hands-on, end-to-end engineering role where your contributions will directly improve platform reliability, operational maturity, and engineering culture across the firm. • Design, build, and maintain Kubernetes platform capabilities including cluster services, controllers and operators, admission policies, platform APIs, and developer tooling, • Develop backend services and automation in Go and Python to improve platform reliability, usability, and self-service for engineering consumers, • Create and maintain delivery workflows that standardize engineering practices and reduce operational toil across the platform, • Improve observability and operational readiness through monitoring, logging, tracing, alerting, runbook development, and on-call practices, • Partner with security and risk stakeholders to implement secure-by-default patterns across identity, policy, network controls, and secrets management, • Contribute to technical direction by authoring design documents, participating in architecture reviews, and helping define engineering standards and best practices, • Mentor and support fellow engineers through code reviews, pairing and mob programming sessions, and constructive, pragmatic feedback, • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Formal training or certification on software engineering concepts and advanced applied experience, • Strong practical experience with Kubernetes, including workload scheduling, services and networking, storage, role-based access control, upgrades, cluster operations, and troubleshooting, • Solid cloud development experience, including designing distributed systems, deploying and operating services in cloud environments, and understanding of reliability and scaling principles, • Proficiency in Go and Python, with the ability to apply these languages to build platform services and automation tooling, • Demonstrated ability to collaborate effectively in a team setting, including experience with or openness to pair programming and mob programming practices, • Strong engineering fundamentals including data structures, networking basics, Linux and container fundamentals, and secure coding practices, • Ability to take ambiguous requirements, propose solutions, and deliver iteratively with clear and consistent communication, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices, • Experience building platform components such as operators and controllers, admission webhooks, service meshes, ingress and gateway patterns, or multi-cluster tooling, • Familiarity with infrastructure-as-code and automation practices, including tools such as Terraform, Helm, Kustomize, Argo CD, Flux, or continuous integration systems, • Experience with observability stacks and site reliability engineering practices, including service level indicators and objectives, incident response, and post-incident reviews, • Exposure to regulated environments and implementing security and compliance controls without compromising developer experience #J-18808-Ljbffr

Join JPMorganChase, where your engineering expertise powers decisions that matter on a global scale. As part of Markets Technology, you'll work alongside some of the brightest minds in the industry, building resilient, high-impact systems that support critical functions across the firm. We offer an environment where innovation is encouraged, growth is supported, and your contributions directly influence the product and business. As a Frontend Lead Software Engineer at JPMorgan Chase within the Corporate & Investment Bank (CIB) Research Technology team, you will play a pivotal role in promoting frontend engineering excellence across the Research Platform. A large transformation of our client-facing platform is underway, and this role offers the opportunity to help shape its direction. You will leverage your full-stack expertise in a collaborative, high-performing environment to design, build, and enhance scalable, resilient solutions that support a rapidly evolving business. In this role, you will lead end-to-end engineering efforts that power the core capabilities of our platform, ensuring robust performance, reliability, and continuous improvement. • Lead and own end-to-end frontend deliverables across the Research Platform — from discovery through to architecture, delivery, and production, • Architect frontend solutions in a platform-first approach, balancing the needs of our external clients, internal stakeholders, and partner teams, • Collaborate with product managers and cross-functional engineering teams to translate complex business requirements into technical solutions, • Advance our ability to deliver frontend strategically — shaping SDLC practices, delivery mechanisms, and UI frameworks that scale across the platform, • Mentor and guide engineers, fostering a culture of technical excellence, continuous learning, and innovation, • Uphold a disciplined engineering standard — strong engineering practices, testing, accessibility, and compliance awareness — ensuring quality is built in by default, • Contribute to the evolution of the team's technology strategy, evaluating emerging tools and frameworks to bring value to the technology stack, • Proven end-to-end autonomous ownership of complex frontend deliverables involving multiple teams and stakeholders, • Deep, current expertise in a modern frontend stack (React, Vue, Svelte, Angular, or equivalent) with strong TypeScript fundamentals — comfortable across the stack and with modular or micro-frontend architectures, • Experience working with a design system (Material, Fluent, Carbon, Radix, Bootstrap, or equivalent), partnering closely with UX and product design, • Strong testing discipline (unit, integration, end-to-end) and familiarity with modern frontend build tooling (Vite, Turbopack, Webpack), • Experience designing and deploying scalable, resilient cloud-native applications on AWS, Azure, or Google Cloud, • Strong problem-solving skills with the ability to manage and resolve complex technical challenges independently, • Experience working within Financial Services or regulated technology environments, • Experience partnering with design teams, translating style guides, and implementing modern web standards, • Experience of engineering delivery using modern frontend SDLC frameworks, leveraging agentic practices, • Ability to manage the risk and controls agenda across a technology portfolio J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Full stack engineering to build scalable, resilient research platforms with a collaborative team that delivers strong business results. #J-18808-Ljbffr

Ready to build technology that powers a leading global financial firm? In this role, you’ll contribute to secure, stable, and scalable products while sharpening your engineering skills through hands‑on delivery. You’ll work in an agile team environment where collaboration, learning, and code quality are central to how we operate. You’ll have opportunities to grow your technical depth, broaden your product exposure, and expand your impact over time. Join us to help deliver modern solutions that make a difference for our clients and business. As a Software Engineer II in the Commercial & Investment Bank, you will be part of an agile team that enhances, designs, and delivers software components for the firm’s technology products in a secure, stable, and scalable way. You will execute software solutions through design, development, and technical troubleshooting across multiple components of a product, application, or system. You’ll collaborate with teammates and partners to deliver value iteratively while strengthening your engineering craft. You’ll contribute to a culture that prioritizes resilience, security, and continuous improvement. • Execute standard software solution design, development, and technical troubleshooting, • Write secure, high-quality code in at least one programming language with limited guidance, • Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Design, develop, code, and troubleshoot with consideration of upstream and downstream systems and technical implications, • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Apply technical troubleshooting to break down solutions and solve technical problems of basic complexity, • Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision‑making in service of secure, stable application development, • Learn and apply system processes, methodologies, and skills for the development of secure, stable code and systems, • Formal training or certification on software engineering concepts with applied experience in delivering software solutions, • Hands‑on practical experience in system design, application development, testing, and operational stability, • Experience developing, debugging, and maintaining code using one or more modern programming languages and database querying languages, • Hands‑on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Experience across the Software Development Life Cycle, • Exposure to agile methodologies and practices such as CI/CD, application resiliency, and security, • Experience developing applications using Java or Python, • Experience working with AWS or cloud-based services #J-18808-Ljbffr

GB Intelligence is redefining how Global Banking operates—bringing AI-driven insights and workflow automation into the core of deal origination, market and sector intelligence, and client coverage. This is a rare opportunity to build production-grade AI capabilities that directly shape how bankers work, at the scale and complexity that only JPMorganChase can offer. You'll grow alongside a team of engineers who are passionate about turning cutting-edge technology into trusted, real-world impact. As a Senior Lead Software Engineer at JPMorganChase within GB Intelligence, you will be a hands-on engineer building AI capabilities that integrate directly into bankers' daily workflows. You will engineer secure services and data flows, develop agentic workflows, and help transform complex client, deal, and market data into trusted insights—operationalized across downstream systems to accelerate execution, strengthen risk discipline, and elevate the day-to-day experience for Global Banking teams. Your work will sit at the intersection of modern AI engineering and enterprise-grade reliability, where the quality of what you build has direct business consequence. • Design and implement complex backend services and APIs in Python, applying sound engineering judgment and pragmatic architecture decisions that scale across production environments, • Build and refine agentic capabilities using the Smart SDK, including tool integration, orchestration patterns, and safety and reliability guardrails suitable for production use, • Develop and optimize retrieval-augmented generation (RAG) pipelines end-to-end—covering ingestion, chunking, embeddings, retrieval, reranking, and prompt/response patterns—improving relevance, latency, and robustness with OpenSearch and continuous measurement, • Implement and maintain large language model (LLM) and agent evaluation and monitoring frameworks, including offline test sets, automated regression checks, relevance and grounding scoring, and production dashboards to continuously improve quality, safety, latency, and cost, • Engineer secure, reliable integrations with systems bankers rely on daily, ensuring traceability and operational readiness across the platform, • Write secure, high-quality production code and raise the bar through code reviews, debugging, and hands-on mentorship—improving maintainability, performance, and consistency across the codebase, • Drive operational excellence by identifying recurring issues and implementing automation, preventative controls, and reliability improvements to reduce toil and improve system stability, • Engineer data and search solutions using AWS Aurora and OpenSearch—including schema design, migrations, query tuning, indexing strategies, and query relevance tuning—to support AI and analytics workflows, • Contribute to cloud-native engineering on AWS, partnering on infrastructure-as-code with Terraform and improving deployment safety, environment consistency, and observability, • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Formal training or certification on software engineering concepts and advanced applied experience, • Strong hands-on expertise in Python, building production backend systems including API and service development, testing practices, performance debugging, and dependency management, • Demonstrated experience building agentic and LLM-powered capabilities, including tool integration, orchestration patterns, and production-grade safety and reliability guardrails, • Experience implementing evaluation and measurement loops for LLM and agent quality, including relevance and grounding checks, regression testing, and reliability and latency monitoring, • Experience across the full Software Development Life Cycle (SDLC), from design and implementation through testing, deployment, and production support, • Strong written and verbal communication skills, with the ability to explain technical tradeoffs clearly to cross-functional partners, • Proficiency with AWS, Terraform, GitHub, Jenkins, and modern developer tooling, • Experience with containerization, including Docker and container orchestration platforms such as Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), or Kubernetes, • Demonstrated expertise with monitoring and observability tools such as Splunk, Datadog, Dynatrace, or CloudWatch, with proven ability to influence high-performing teams by driving innovation, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices, • Experience with Redis in production services, including caching, rate limiting, and coordination patterns, • Experience scaling and hardening RAG systems, including relevance tuning, prompt and response pattern optimization, and robustness improvements, • Prior experience integrating AI services with enterprise systems used in banking or financial services workflows, • Exposure to agile engineering practices including continuous integration and delivery (CI/CD), application resiliency, and secure engineering #J-18808-Ljbffr

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Full Stack Software Engineer III at JPMorgan Chase in the Asset Management Team, you will design and deliver secure, stable, and scalable technology products. You’ll work across multiple technical areas, supporting key business functions and objectives. You will collaborate with your team to solve complex problems, drive improvements, and ensure high-quality outcomes. Your role will help shape our technology landscape and foster a culture of innovation and excellence. • Execute software solutions, design, development, and technical troubleshooting, • Create secure, high-quality production code and maintain algorithms, • Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, • Validate outputs through peer review, automated testing, and secure coding standards, • Contribute learnings and reusable patterns to enhance team effectiveness, • Apply knowledge of tools within the Software Development Life Cycle toolchain, • Utilize AI-assisted development and automation capabilities to maximize automation value, • Produce architecture and design artifacts for complex applications, • Ensure design constraints are met during software code development, • Identify hidden problems and patterns in data to drive improvements, • Enhance coding hygiene and system architecture, • Formal training or certification in software engineering concepts and advanced applied experience, • Strong hands-on experience with Java, • Experience with data distribution and consumption using event, Kafka streaming, API (GraphQL and REST), and bulk methods, • Practical experience in public cloud solutions, AWS, with knowledge of mesh data distribution using Snowflake and Starburst compute engines, • Hands-on experience in system design, application development, testing, and operational stability, • Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages, • Experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, • Ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security, • Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Overall knowledge of the Software Development Life Cycle, • Solid understanding of agile methodologies such as CI/CD, application resiliency, and security, • Knowledge of mesh data distribution patterns using Snowflake and Starburst, • Ability to distribute and consume data using event, streaming, bulk, and request/response methods, • Hands-on experience in public cloud technologies #J-18808-Ljbffr

You're ready to leverage your skills and experience to lead, mentor, and drive innovation — and we have the perfect software engineering opportunity for you. If you thrive in collaborative environments, champion continuous learning, and are excited about the evolving possibilities of AI, we'd love to hear from you. As a Lead Software Engineer at JPMorganChase within Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Develops secure high-quality production code, and reviews and debugs code written by others, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems, • Leads evaluation sessions with internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture, • Adds to team culture of diversity, opportunity, inclusion, and respect, • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation., • Hands-on practical experience delivering system design, application development, testing, and operational stability, • Advanced in one or more programming language(s), • Proficiency in automation and continuous delivery methods, • Proficient in all aspects of the Software Development Life Cycle, • Advanced understanding of agile methodologies such as 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, etc.), • In-depth knowledge of the financial services industry and their IT systems, • Practical cloud native experience, • Familiarity with modern front-end technologies, • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security., • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices, • Interest in or awareness of AI advancements and their practical applications in software engineering., • Proven experience fostering a culture of knowledge sharing, mentorship, and professional development within a team setting. #J-18808-Ljbffr

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Full Stack Software Engineer III at JPMorgan Chase in the Asset Management Team, you will design and deliver secure, stable, and scalable technology products. You'll work across multiple technical areas, supporting key business functions and objectives. You will collaborate with your team to solve complex problems, drive improvements, and ensure high-quality outcomes. Your role will help shape our technology landscape and foster a culture of innovation and excellence. • Execute software solutions, design, development, and technical troubleshooting, • Create secure, high-quality production code and maintain algorithms, • Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, • Validate outputs through peer review, automated testing, and secure coding standards, • Contribute learnings and reusable patterns to enhance team effectiveness, • Apply knowledge of tools within the Software Development Life Cycle toolchain, • Utilize AI-assisted development and automation capabilities to maximize automation value, • Produce architecture and design artifacts for complex applications, • Ensure design constraints are met during software code development, • Identify hidden problems and patterns in data to drive improvements, • Enhance coding hygiene and system architecture, • Formal training or certification in software engineering concepts and advanced applied experience, • Strong hands-on experience with Java, • Experience with data distribution and consumption using event, Kafka streaming, API (GraphQL and REST), and bulk methods, • Practical experience in public cloud solutions, AWS, with knowledge of mesh data distribution using Snowflake and Starburst compute engines, • Hands-on experience in system design, application development, testing, and operational stability, • Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages, • Experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, • Ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security, • Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Overall knowledge of the Software Development Life Cycle, • Solid understanding of agile methodologies such as CI/CD, application resiliency, and security, • Knowledge of mesh data distribution patterns using Snowflake and Starburst, • Ability to distribute and consume data using event, streaming, bulk, and request/response methods, • Hands-on experience in public cloud technologies J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. #J-18808-Ljbffr

This is an exciting opportunity for you to join a talented team of engineers and make a global impact. As a Software Engineer, you'll contribute to market-leading technology products that advance our business and deliver trusted solutions worldwide. You'll collaborate with passionate professionals, solve complex problems, and grow your career in a supportive, innovative environment. We value your expertise, creativity, and commitment to teamwork. As a Software Engineer III at JPMorganChase within the Asset & Wealth Management Client Service team, you will develop software products critical to business advancement. You will work within an agile team to build, enhance, and deliver secure, stable, and scalable technology solutions. Your role will involve contributing to technical solutions, applying software engineering best practices, and fostering a culture of diversity, equity, inclusion, and respect. Together, we'll deliver solutions that support the firm's business objectives. • Develop creative software solutions, design, development, and technical troubleshooting to build solutions and solve technical problems, • Contribute to expanding the digital experience offered to clients, • Develop secure, high-quality production code, and review and debug code written by others, • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems, • Demonstrate initiative by bringing ideas, passion, and ownership to improve the team and products, • Engage with communities of practice across Software Engineering to learn about and adopt new and emerging technologies, • Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code, • generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Add to team culture of diversity, opportunity, inclusion, and respect, • Formal training or certification on software engineering concepts and proficient applied experience, • Hands-on practical experience delivering system design, application development, testing, and operational stability, • Working knowledge and experience in backend development using Java and Spring, • Working knowledge and experience in frontend development using React and front-end testing frameworks, • Experience with messaging platforms such as Kafka, • Familiarity with automation and continuous delivery methods, • Solid 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, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • 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 with modern front-end component libraries and design systems J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. #J-18808-Ljbffr

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Senior Manager - SRE at JPMorgan Chase within the AIML Data Platforms and Chief Data and Analytics Team, you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake Tools. In this role you will work in an agile environment, collaborating with cross-functional teams. • Leads a team of Site Reliability Engineers and support critical application 24x7, • Implements Site Reliability Engineering (SRE) best practices to ensure reliability, scalability, and performance of data platforms., • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems., • Scale and maintain a managed AWS Databricks platform, and provides engineering and operational support for the platform to Application/Engineering teams., • Drives reuse-first adoption of enterprise-authorized AI capabilities within the work environment to improve reliability operations and customer experience outcomes, with human-in-the-loop validation and appropriate handling of sensitive data., • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture., • Drives continuous improvement in system observability, alerting, and capacity planning., • Collaborates with engineering and data teams to optimize infrastructure and deployment processes, focusing on automation and operational excellence., • Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to Data Engineering teams, Data Science/ML, and Application/Integration teams., • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems., • Develops secure high-quality production code, and reviews and debugs code written by others., • Adds to team culture of diversity, opportunity, and respect., • Develops and maintains incident response procedures, including root cause analysis and postmortem documentation., • Experience with formal training or certification on software engineering concepts., • Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management., • Ability to manage highly technical team of Site Reliability Engineers., • Experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for reliability engineering workflows, including validation habits and awareness of data sensitivity., • Ability to set and reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes., • Extensive experience with AWS, Databricks, or Snowflake platform administration and engineering support is a MUST., • Experience with monitoring tools, automation frameworks, and CI/CD pipelines., • Proficient in Python application program development with use of automated unit testing., • Experience with Terraform development and understanding of Terraform enterprise., • Experience in delivering system design, application development, testing, and operational stability., • Knowledge of Big Data distributed compute frameworks like Spark, Glue, MapReduce etc., • Excellent troubleshooting, analytical, and communication skills., • Multi Region disaster recovery setup, monitoring and testing., • Experience in Data pipelines using Spark., • Exposure to AWS & Databricks Platform administration., • Knowledge of containerization (Docker, Kubernetes) and orchestration., • Familiarity with distributed systems and large-scale data processing. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the AI/ML Technology, you will be a hands-on engineer responsible for building and shipping production software with a strong focus on AI-enabled capabilities. You will work across the full software development lifecycle—from requirements clarification and design through implementation, testing, deployment, and production support. You will develop backend services in Python, build APIs and micro-services, implement LLM-based solutions including agentic workflows, and deliver into a multi-cloud environment using Terraform, Kubernetes, and CI/CD pipelines. This role offers you the opportunity to grow your expertise in applied AI engineering while contributing to systems that operate at enterprise scale. • Deliver software through a disciplined software development lifecycle, working from well-defined requirements through design, implementation, testing, release, and production support, • Write maintainable Python code with unit and integration tests, debugging issues across application, API, data-access, and runtime layers, • Implement LLM-driven workflows including prompting, tool and function calling, routing, orchestration, and state handling to support multi-step agentic task execution, • Build and maintain inference-time integrations such as model gateways, APIs, caching, fallbacks, timeouts, and concurrency controls for production AI systems, • Build REST and gRPC endpoints following agreed contracts, implementing authentication and authorisation integration, input validation, error handling, and secure data handling practices, • Implement SQL-backed business logic powering APIs and micro services, including joins, aggregations, filtering, pagination, and transactional workflows, • Contribute to CI/CD pipelines and Git workflows, packaging and deploying services using containers and Kubernetes with support for safe rollouts and rollbacks, • Contribute to infrastructure-as-code using Terraform within established team patterns across modules, environments, and state management, • Improve operability of services by adding and using observability tooling including logs, metrics, traces, dashboards, and alerts, and participate in incident response and root-cause analysis, • Leverage enterprise-authorised AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorised AI-assisted development and automation capabilities, to improve the value realised by automation, • Formal training or certification on software engineering concepts and proficient applied experience, • Strong hands-on JavaScript, Java or Python development experience building backend services, including testing, packaging, dependency management, and maintainability, • Strong database and SQL proficiency, with experience implementing application logic and APIs on top of relational data, • Experience building APIs and micro-services using REST or gRPC, including contracts, security basics, and observability, • Practical experience delivering LLM-based features as part of software systems, with familiarity with agentic patterns, • Working knowledge of delivery and operations including CI/CD, and Git, • Familiarity with Kubernetes and cloud infrastructure concepts in a multi-cloud environment, • Solid understanding of software engineering fundamentals and software development lifecycle practices including design, reviews, testing, release, and production support, • Hands-on experience using enterprise-authorised AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs, • Strong experience with container orchestration platforms (Kubernetes distributions such as EKS, AKS, GKE or OpenShift, or managed equivalents such as ECS or Azure Container Apps), and with the cloud infrastructure that supports them., • Experience with relational and/or NoSQL databases in the cloud (e.g. RDS/Aurora, DynamoDB, Azure SQL/Cosmos DB, GCP Cloud SQL/Firestore, Oracle)., • Familiarity with Terraform and cloud infrastructure concepts in a multi-cloud environment, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Strong debugging and troubleshooting skills in distributed systems, including root-cause analysis and performance bottleneck identification using logs, metrics, and traces, • Experience improving code quality and reliability through test strategy improvements, refactoring, static analysis, and dependency hygiene, • Experience with deployment and operational best practices including safe releases, rollbacks, environment configuration, and incident readiness, • Familiarity with common architecture patterns such as event-driven designs, async processing, caching, API versioning, and backward compatibility, • Experience collaborating effectively in agile delivery, including estimating, breaking down work, documenting decisions, and communicating risks #J-18808-Ljbffr

The Applied Artificial Intelligence and Machine Learning (Applied AI/ML) team within Infrastructure Platforms is transforming how the firm delivers strategic infrastructure platforms-based solutions—both by applying AI/ML within engineering workflows and by building scalable AI hosting platforms and capabilities for enterprise use. As a Machine Learning Lead Software Engineer at JPMorgan Chase within the Governance & Controls Technology AI/ML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. • Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases., • Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives., • Manage, mentor, and guide a team of ML and MLOps engineers., • Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency., • Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation., • Conduct thorough evaluations of generative models (e.g., GPT-5.5), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications., • Implement monitoring mechanisms to track model performance in real-time and ensure model reliability., • Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences., • Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality., • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, • demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production., • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API., • Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API., • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization., • Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs., • Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications., • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects. A portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineering. • Familiarity with the financial services industries., • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG)., • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Join a specialist team as Lead AI/ML Engineer building reusable AI/ML components to accelerate product delivery. #J-18808-Ljbffr

We're looking for a hands-on, business-facing AI engineer who thrives at the intersection of technology and the front line. Join the ranks of top talent at one of the world's most influential companies. As an AI Solutions Engineer (Forward Deployed) - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will be deployed directly into business contexts to identify where AI can create value, then design, build, and ship the solutions that realise it. You will operate at the front of the team's engagement model: turning ambiguous, surfacing opportunities into scoped, working agentic AI and machine learning solutions, and partnering with the core AIML team to productionise and scale what proves out. This is a Vice President-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. • Embeds with IPB advisors, business teams, and product partners (e.g. across Investment, Client experience, and surfacing IPB-first use cases) to discover and frame high-value AI/ML opportunities, • Rapidly prototypes and builds agentic AI and LLM-powered solutions full-stack and end-to-end (backend, data, and lightweight interfaces as needed) to demonstrate value quickly, then hardens and scales them with the core AIML team, • Owns solutions end-to-end during the engagement: problem framing, build, demo, iteration, and hand-off to production, • Acts as the primary technical translator between business/product stakeholders and the engineering team, shaping opportunities into funded, well-scoped workstreams, • Balances speed of iteration with the team's engineering, Responsible AI, and control standards (guardrails, evaluation, observability), • Feeds reusable patterns, skills, and learnings back into the team's platform so each engagement compounds, • Contributes to the team's GenAI education and knowledge-sharing, and mentors junior engineers on solutioning and delivery, • Champions the firm's culture of diversity, Opportunity, inclusion, and respect, • Formal training or certification on AI/ML engineering concepts and applied experience, • Advanced Python and full-stack / generalist engineering ability - backend, data, and lightweight front-end - to ship a working end-to-end solution, with modern software engineering practices (testing, code review, version control), • Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day-to-day development, with the judgement to know when to lean on them and when not to, • Practical experience with Large Language Models, including prompt engineering, RAG, and/or agentic frameworks, • Hands-on experience taking solutions from prototype to production, including CI/CD, containerisation, and cloud-native deployment, • Proven ability to work directly with non-technical stakeholders - eliciting needs, framing problems, demoing, influencing, and building trust across technical and business audiences, • Comfort with ambiguity and the ability to switch context quickly across multiple problem domains, stakeholders, and engagements; a bias to ship and learn while maintaining engineering quality, • Product mindset: prioritises by user value and outcomes, with the judgement to decide what to build, what to cut, and what "good enough to prove value" looks like, • Commercial acumen: spots where AI creates measurable business value, frames success metrics, and builds the case to fund and scale what works, • Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience), • Industry-recognised cloud / GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar), • Prior forward-deployed, solutions-engineering, consulting, or client-facing engineering experience, • Openness to periodic on-site embedding with business teams and occasional international travel, as engagements benefit from it, • Experience within financial services, particularly wealth, private banking, or asset management, • Experience designing or contributing to AI governance, model validation, or guardrail frameworks, • Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Lead impactful artificial intelligence solutions with advisors, owning discovery, rapid builds, and full delivery in a highly visible role. #J-18808-Ljbffr

As a Senior Associate, Applied AI/ML Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud-native platforms. This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. • Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user experience across business workflows., • Build LLM/SLM-powered applications including RAG-based systems, summarization/extraction pipelines, chat/coplay experiences, and tool-using agents., • Engineer production-grade services using Java and/or Python (REST/gRPC APIs, microservices, libraries), following secure coding and reliability best practices., • Develop prompt strategies and prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time., • Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services., • Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/agents., • Implement robust testing (unit/integration), performance benchmarking (latency/cost), and observability (logging/metrics/tracing) for AI services., • Collaborate with cross-functional stakeholders to define requirements, success metrics, and rollout plans; communicate complex topics clearly to technical and non-technical audiences., • Strong problem-solving skills and ability to work effectively in ambiguous environments with multiple stakeholders., • Undergrad or Master’s degree (or equivalent practical experience) in Computer Science, Data Science, Machine Learning, or related field., • Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots)., • Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces., • Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation., • Strong software engineering experience delivering production systems; ability to design maintainable architectures and write clean, testable code., • Proficiency in Java and/or Python and experience building APIs/services and integrating with data sources and downstream systems., • Experience deploying solutions on AWS and cloud-native environments; understanding of security fundamentals and operational excellence., • Experience with modern engineering practices: CI/CD, code reviews, unit testing (e.g., pytest/JUnit), and deployment automation., • Experience with containers and orchestration (e.g., Docker, Kubernetes/EKS) and production monitoring practices., • Experience building agentic AI systems (multi-step workflows, tool routing, planning, memory patterns, supervision/fallback strategies)., • Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference., • Experience with evaluation frameworks and approaches (golden datasets, LLM-as-judge, human-in-the-loop review, red teaming)., • Experience fine-tuning models (e.g., LoRA/QLoRA/DoRA) and/or working with SLMs, embeddings, and retrieval systems., • Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC controls., • Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling)., • Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. #J-18808-Ljbffr

• Locations 315 Argyle Street, Glasgow, Glasgow City, G2 8AT, GB, • Job Schedule Full time Join JPMorganChase, where technology powers the future of global finance. As part of our Corporate Technology organization, you'll work alongside some of the brightest engineering minds in the industry, building resilient, scalable systems that serve millions of customers and businesses worldwide. Here, your work doesn't just solve technical problems - it drives real business outcomes at extraordinary scale. We invest in your growth, champion collaboration, and give you the tools to do the best work of your career. As a Lead Software Engineer at JPMorganChase within Corporate Technology, you will play a pivotal role in designing and delivering high-quality software solutions that power critical enterprise platforms. You will bring technical depth, a collaborative mindset, and a passion for engineering excellence to a team that values innovation and continuous improvement. Your contributions will directly influence the reliability, scalability, and performance of systems that matter to the firm and its clients. Job responsibilities • Design and develop robust, scalable Java-based applications that meet complex enterprise requirements across multiple business domains, • Lead the architecture and implementation of cloud-native solutions on AWS, ensuring high availability, security, and performance, • Drive the adoption and continuous improvement of CI/CD pipelines, enabling faster, more reliable software delivery, • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Collaborate with cross-functional teams including product, architecture, and business stakeholders to translate requirements into technical solutions, • Conduct thorough code reviews and establish engineering best practices that elevate the quality and consistency of the team's output, • Mentor and coach junior engineers, fostering a culture of learning, ownership, and technical growth Required qualifications, capabilities, and skills • Formal training or certification on software engineering concepts and advanced applied experience, • Advanced proficiency in Java, including experience building and maintaining large-scale, production-grade applications, • Hands-on experience designing and deploying cloud-native solutions on AWS (e.g., EC2, S3, Lambda, RDS, EKS), • Demonstrated experience building and maintaining CI/CD pipelines using industry-standard tools, • Strong understanding of software design patterns, distributed systems, and microservices architecture, • Proven ability to lead technical discussions, influence design decisions, and drive alignment across engineering teams, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices Preferred qualifications, capabilities, and skills • Experience with infrastructure-as-code tools such as Terraform or AWS CloudFormation, • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes, • Exposure to observability and monitoring practices using tools such as Datadog, Splunk, or equivalent platforms, • Experience contributing to or leading architectural decisions in a large, matrixed enterprise environment, • Knowledge of security best practices in cloud and application development contexts J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

We're looking for a hands-on platform engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As a Platform Engineer - Senior VP at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design and own the platform, tooling, and infrastructure that our agentic AI and machine learning products depend on. As the team moves from shipping individual use cases to running multiple production platforms and the production tail of new use cases, you will set the engineering standard for deployment, scalability, security, and reliability, and lead the practices that keep our services running. This is a Senior VP-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. • Owns the design and build of the team's platform: deployment pipelines, model serving, containerisation, orchestration, and environment management, • Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services, • Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly, • Implements platform-level security, secrets management, and access controls to firm-wide standards, • Partners with data and AI engineers to productionise models, and coordinates with external infrastructure functions to reduce operational dependency and risk, • Leads capacity, cost, and performance management for the team's compute and inference workloads, • Mentors platform and DevOps engineers and sets engineering standards through design and code review, • Champions the firm's culture of diversity, Opportunity, inclusion, and respect, • Formal training or certification on software engineering concepts and 5+ 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 ML models or data-intensive services in production (MLOps), • Practical experience with observability tooling (metrics, logging, tracing) and production incident response, • Experience operating ML / LLM workloads in production (LLMOps, inference reliability, cost/performance management), • Strong communication skills and the ability to set standards other engineers adopt, • Industry-recognised container / Kubernetes certification (e.g., Certified Kubernetes Application Developer (CKAD), or similar), • Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience), • 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 #J-18808-Ljbffr

We're looking for a hands-on AI engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As an Applied AI ML Lead - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading AI products in a secure, stable, and scalable way. You will translate business problems into agentic AI and machine learning solutions, taking models from concept through to production-grade services with measurable client and advisor impact. You will be responsible to the Head of AIML in IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys. • Owns end-to-end delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact, • Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across the globe., • Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers, • Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm-wide standards, • Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams, • Represents the AIML team in firm-wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data-privacy considerations are reflected in solution design, • Contributes to the team's GenAI education programme through training content, knowledge-sharing sessions, and mentoring of junior engineers and interns, • Champions the firm's culture of diversity, Opportunity, inclusion, and respect, • Formal training or certification in software engineering concepts and expert applied experience, • Advanced proficiency in Python and modern software engineering practices (testing, design patterns, code review, version control), • Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day-to-day software development, with the judgement to know when to lean on them and when not to, • Hands-on experience building, evaluating, and deploying machine learning models into production, • Practical experience with Large Language Models, including prompt engineering, RAG, fine-tuning, agentic frameworks, skills., • Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data-intensive systems, • Strong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non-technical audiences, • Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines, • MSc in Computer Science, Data Science, Engineering, or a related quantitative field, • Postgraduate-level qualification in data science, artificial intelligence, or machine learning, • Practical experience with CI/CD, containerization, and cloud-native deployment patterns, • Experience within financial services technology, particularly wealth, private banking, or asset management, • Experience with Databricks, Kubernetes, or comparable ML / cloud platforms, • Experience designing or contributing to AI governance, model validation, or guardrail frameworks J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. #J-18808-Ljbffr

We're looking for a hands‑on senior AI engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As a Senior AI Engineer at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market‑leading AI products in a secure, stable, and scalable way. You will translate business problems into agentic AI and machine learning solutions, taking models from concept through to production‑grade services with measurable client and advisor impact. You will be responsible to the Head of AI, IPB Tech for the end‑to‑end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys. • Owns end‑to‑end delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact, • Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international markets, • Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers, • Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm‑wide standards, • Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams, • Represents the AIML team in firm‑wide AI/ML governance and engineering forums; ensures cross‑border, regulatory, and data‑privacy considerations are reflected in solution design, • Contributes to the team's GenAI education programme through training content, knowledge‑sharing sessions, and mentoring of junior engineers and interns, • Champions the firm's culture of diversity, Opportunity, inclusion, and respect, • Formal training or certification on AI/ML engineering concepts and applied experience, • Advanced proficiency in Python and modern software engineering practices (testing, design patterns, code review, version control), • Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day‑to‑day software development, with the judgement to know when to lean on them and when not to, • Hands‑on experience building, evaluating, and deploying machine learning models into production, • Practical experience with Large Language Models, including prompt engineering, RAG, fine‑tuning, and agentic frameworks, • Practical experience with CI/CD, containerisation, and cloud‑native deployment patterns, • Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data‑intensive systems, • Strong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non‑technical audiences, • Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines, • Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience), • Industry‑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 management, • Experience with Databricks, Kubernetes, or comparable ML / cloud platforms, • Experience designing or contributing to AI governance, model validation, or guardrail frameworks, • Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates #J-18808-Ljbffr

Job Description We're looking for a hands-on platform engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. Job Description We're looking for a hands-on platform engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As a Platform Engineer - Senior VP at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design and own the platform, tooling, and infrastructure that our agentic AI and machine learning products depend on. As the team moves from shipping individual use cases to running multiple production platforms and the production tail of new use cases, you will set the engineering standard for deployment, scalability, security, and reliability, and lead the practices that keep our services running. This is a Senior VP-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. Job responsibilities • Owns the design and build of the team's platform: deployment pipelines, model serving, containerisation, orchestration, and environment management, • Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services, • Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly, • Implements platform-level security, secrets management, and access controls to firm-wide standards, • Partners with data and AI engineers to productionise models, and coordinates with external infrastructure functions to reduce operational dependency and risk, • Leads capacity, cost, and performance management for the team's compute and inference workloads, • Mentors platform and DevOps engineers and sets engineering standards through design and code review, • Champions the firm's culture of diversity, Opportunity, inclusion, and respectRequired Qualifications, Capabilities, And Skills, • Formal training or certification on software engineering concepts and 5+ 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 ML models or data-intensive services in production (MLOps), • Practical experience with observability tooling (metrics, logging, tracing) and production incident response, • Experience operating ML / LLM workloads in production (LLMOps, inference reliability, cost/performance management), • Strong communication skills and the ability to set standards other engineers adopt, • Industry-recognised container / Kubernetes certification (e.g., Certified Kubernetes Application Developer (CKAD), or similar), • Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience)Preferred Qualifications, Capabilities, And 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 candidatesABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. #J-18808-Ljbffr

GLASGOW, LANARKSHIRE, United Kingdom • Job Identification 210783041, • Job Category Data Engineering, • Business Unit Corporate Sector, • Posting Date 08/20/2026, 03:18 PM, • Locations 315 Argyle Street, Glasgow, Glasgow City, G2 8AT, GB, • Job Schedule Full time, • Job Shift Day Join us as a Lead Data Engineer and help shape the future of data-driven innovation at JPMorganChase. You will collaborate with talented colleagues to deliver impactful solutions that power AI and analytics initiatives across the firm. We value your expertise, encourage growth, and support your journey to make a lasting impact. Experience a culture that celebrates diverse perspectives and fosters continuous learning. Job Summary: As a Lead Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical data pipelines and architectures across multiple technical areas, supporting the firm’s business objectives. Your work will drive innovation, operational excellence, and team success, contributing to a collaborative culture that values your ideas and technical leadership. Job Responsibilities: • Make data available for AI and analytics initiatives, working closely with use case owners to define requirements, manage product dependencies, and support agile routines that oversee cross-product data dependencies and prioritize delivery, • Collaborate with business, technology, and operations partners to understand data requests and accelerate provisioning through deployment of "AI for Data", • Drive adoption of AI-assisted development tools (e.g., Claude Code, Copilot) to accelerate delivery and improve developer productivity, • Partner with business and technology teams to rapidly prototype and deploy analytics and tooling, leveraging AI/ML and innovative approaches, • Implement and manage platform controls, including access, security, and compliance, ensuring all data and AI solutions meet firmwide SDLC standards, • Provide transparency and drive executive visibility into bottlenecks, progress, performance metrics, and adoption tracking in making AI-ready and critical data sources available for innovation, • Identify the lineage and provenance of critical data assets to support governance, regulatory, and business requirements; embed evergreen controls on data flows to improve safety, transparency, and traceability, • Drive insight into areas of efficiency and risk through consolidation and reengineering of data flows, • Lead data quality issue root cause analysis using deep data profiling and advanced analytics techniques, then fix the cause and embed uplifted evergreen controls to prevent future failures, • Develop proactive controls to reduce the time from data quality issue identification to resolution, improving client experience and driving operational efficiency, • Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver data product prototypes, • Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements, • Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations Required Qualifications, Capabilities, and Skills: • Formal training or certification on software engineering concepts and applied experience, • Experience and awareness in working within Risk Analytics space; preferred knowledge of corporate bond investment assets and structured credit products such as securitisation (e.g., CLO, CMBS, RMBS, ABS), • Proven experience integrating AI-assisted development tools (e.g., Claude Code, Copilot, or similar) into engineering workflows, • Experience in strategic or transformational change initiatives, including data governance, data quality, or analytics transformation programs, • Strong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms), • Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguing, • Excellent communication skills with the ability to convey complex technical concepts to diverse audiences, including executive leadership, • Experience with data quality frameworks, including profiling, rule development, issue remediation, and preventative controls, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity, • Ability to review and validate AI-assisted outputs (e.g., code, model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements, • Hands‑on practical experience delivering system design, application development, testing, and operational stability Preferred Qualifications, Capabilities, and Skills: • Hands‑on experience with data lineage tools and techniques, including graph & vector databases and metadata management platforms, • Hands‑on experience with LLM Ops, MLOps, and AI/ML platform deployment at scale, • Familiarity with business‑led analytics delivery models and rapid prototyping frameworks, • Experience with AI/ML governance, prompt engineering, and integrating AI tools into SDLC, • Experience with AI/ML technologies and their application to data management challenges (e.g., automated data profiling, metadata enrichment), • Understanding of agile and product management methodologies and experience working in agile teams, • Ability to multi‑task in a fast‑paced environment and operate independently with minimal supervision; strong judgment with the ability to balance strategic vision with pragmatic, incremental delivery, • Experience building and growing capabilities and developing talent in data science or data management teams, • Excellent interpersonal skills and ability to build strong working relationships with business, technology, and control stakeholders across global teams J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Core Foundational Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Develops secure high-quality production code, and reviews and debugs code written by others, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems, • Sets strategy and operating standards for agentic AI-enabled engineering across a portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale., • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture, • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies, • Adds to team culture of diversity and opportunity., • Formal training or certification on software engineering concepts and applied experience, • Hands‑on practical experience delivering system design, application development, testing, and operational stability, • Advanced in one or more programming language(s) ideally including one of Go, Python, React, Java, • Proficiency in Terraform, Ansible or other automation and continuous delivery methods., • Proficient in all aspects of the Software Development Life Cycle, • Advanced understanding of agile methodologies such as 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, etc.), • In‑depth knowledge of the financial services industry and their IT systems, • Demonstrated experience designing and scaling agentic AI-enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human‑in‑the‑loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs., • Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications, data sensitivity, and risk‑based governance; ability to advise senior leaders on safe adoption, reuse, and measurable outcomes., • Practical cloud native experience, • Experience in Infrastructure Architecture designs, • Experience in AWS EKS, GCP GKE ecosystems a plus, • Knowledge of industry‑wide technology trends and best practices, • Knowledge of multiple Cloud Platforms, • Proficiency in database technology such as Oracle / MS SQL / Cockroach J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda. . #J-18808-Ljbffr

We have an opportunity to impact your career and provide an adventure where you can push the limits of what’s possible. As a Lead Software Engineer at JPMorgan Chase within the Core Foundational Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Develops secure high‑quality production code, and reviews and debugs code written by others, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems, • Sets strategy and operating standards for agentic AI‑enabled engineering across a portfolio (using enterprise‑authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI‑orchestrated SDLC/TLM automation, release readiness gating, incident triage/root‑cause acceleration, and large‑scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to improve the value realized by automation at scale, • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture, • Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies, • Adds to team culture of diversity and opportunity, • Formal training or certification on software engineering concepts and 5+ years applied experience, • Hands‑on practical experience delivering system design, application development, testing, and operational stability, • Advanced in one or more programming language(s) ideally including one of Go, Python, React, Java, • Proficiency in Terraform, Ansible or other automation and continuous delivery methods, • Proficient in all aspects of the Software Development Life Cycle, • Advanced understanding of agile methodologies such as 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, etc.), • In‑depth knowledge of the financial services industry and their IT systems, • Demonstrated experience designing and scaling agentic AI‑enabled development patterns (using enterprise‑authorized tools within the work environment) across teams/functions, including establishing governance for human‑in‑the‑loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs, • Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications, data sensitivity, and risk‑based governance; ability to advise senior leaders on safe adoption, reuse, and measurable outcomes, • Practical cloud native experience, • Experience in Infrastructure Architecture designs, • Experience in AWS EKS, GCP GKE ecosystems a plus, • Knowledge of industry‑wide technology trends and best practices, • Knowledge of multiple Cloud Platforms, • Proficiency in database technology such as Oracle / MS SQL / Cockroach We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. #J-18808-Ljbffr

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. • Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Develop secure and high-quality production code, and review and debug code written by others, • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems, • Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture, • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Formal training or certification on software engineering concepts and advanced applied experience, • Hands-on practical experience delivering system design, application development, testing, and operational stability, • Advanced proficiency in one or more programming languages, • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security, • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices, • Proficient in all aspects of the Software Development Life Cycle, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • In-depth knowledge of the financial services industry and their technology systems, • Practical cloud native experience J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

As a Lead Software Engineer – Python or Java with AI at JPMorgan Chase you will help design and build the core systems for our source code intelligence platform. You will work on distributed indexing and search infrastructure, multi-language semantic and AST analysis, and interfaces that enable AI agents to query the platform for standards‑compliant code. In this hands‑on technical lead role, you will write code daily across our JVM and systems-language stack, set technical direction for a small team, and directly influence how a regulated financial enterprise scales software development with AI. You will collaborate with talented colleagues and contribute to a culture of excellence and innovation. • Lead the design and development of backend systems using Python or Java, • Build and enhance distributed indexing and search infrastructure for source code intelligence, • Develop multi-language semantic and AST analysis capabilities, • Create interfaces for AI agents to query and validate code, • Apply AI techniques to enable large-scale code search, vulnerability discovery, and SDLC automation, • Streamline engineering processes to improve productivity and quality, • Collaborate with cross-functional teams to deliver robust solutions, • Ensure adherence to best practices in industrial hygiene and software engineering, • Mentor and guide junior engineers, • Evaluate and integrate emerging technologies, including Claude AI capabilities, • Drive continuous improvement in development workflows and foster an inclusive and innovative team culture, • Proficiency in Python or Java for backend development, • Strong understanding of AI concepts and practical application, • Experience with distributed systems architecture, • Ability to design and optimize data models and data structures, • Demonstrated skill in streamlining engineering processes, • Knowledge of industrial hygiene principles in software environments, • Experience integrating Claude AI or similar advanced AI tools, • Effective collaboration and communication skills, • Commitment to inclusive and diverse team practices, • Ability to mentor and support team members, • Strong problem-solving and analytical abilities, • Experience leading software engineering teams, • Familiarity with cloud platforms and microservices, • Advanced knowledge of backend frameworks and tools, • Experience with real‑time data processing and streaming, • Background in security engineering, distributed systems, or program analysis, • Exposure to DevOps practices and automation, • Passion for continuous learning and innovation J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

As a Software Engineer III at JPMorganChase within the Climate Nature & Social Risk Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. • Own delivery of complex UI features using React and TypeScript, aligned to a design system and front-end engineering standards., • Lead UI technical design (component architecture, state management, API integration patterns, routing, error handling) and document key decisions., • Drive quality and operability through automated testing (unit/component/e2e), accessibility compliance, performance optimization, and UI telemetry/monitoring., • Build and improve CI/CD for UI delivery (linting, automated tests, quality gates, build optimization, release automation) and reduce flaky tests., • Use JPMorganChase-approved AI-assisted development tools (e.g., Claude AI where approved) to accelerate refactoring, feature changes, test generation, and documentation with rigorous human validation., • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation., • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development, • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems, • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture, • Formal training or certification on software engineering concepts and applied experience, • Strong hands-on experience building enterprise web applications with React + TypeScript, including advanced component patterns., • Strong experience with UI testing (e.g., Jest/React Testing Library and Cypress/Playwright) and systematic debugging/troubleshooting., • Proven experience designing and delivering accessible, performant UIs (WCAG awareness, profiling, bundle optimization)., • Proven experience implementing and improving CI/CD for front-end applications with automated quality gates., • Disciplined experience using AI coding assistants (Claude AI or equivalent where approved) with verification and secure usage practices., • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security., • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices., • Overall knowledge of the Software Development Life Cycle, • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • Experience with design systems at scale (component libraries, theming/tokens, governance) and cross-team adoption., • Experience with modern UI architecture patterns (micro-frontends/module federation, SSR frameworks such as Next.js, BFF patterns)., • Experience with web observability (RUM, client logging, correlation with backend signals) and feature-flag driven delivery., • Track record reducing defect escape and flaky tests, improving release confidence and developer productivity., • Experience mentoring engineers and leading technical initiatives within a squad or across teams. #J-18808-Ljbffr

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III - Python/Test Automation at JPMorganChase within the Commercial & Investment Bank, particularly in the Payments Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. • Design, develop, and maintain robust, scalable test automation frameworks for a complex, high-performance Payments system., • Architect and build test automation solutions and reference services using Java to validate software functionality and performance., • Apply test automation frameworks intelligently to enhance and execute the overall test landscape., • Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches., • Produce architecture and design artifacts for complex applications, ensuring software code meets design constraints., • Gather, analyze, and visualize large, diverse data sets to drive continuous improvement of software systems., • Proactively identify hidden problems and patterns in data to improve coding hygiene and system architecture., • Contribute to software engineering communities of practice and participate in events exploring new technologies., • Collaborate as part of a global team and conduct detailed peer code reviews., • Work closely with stakeholders to define test requirements and strategies., • Hands-on practical experience in Python, Playwright/Selenium, PyTest, application development, testing, and operational stability, • Demonstrated expertise in managing multiple automation deliveries and diverse stakeholders, consistently ensuring high-quality outcomes even under pressure., • Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming language Python along with database querying languages SQL., • Hands-on Experience in FAST API, Web UI, API, Database automation, • Experience in agile methodologies such as CI/CD, Application Resiliency, and Security., • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Demonstrate full ownership of deliverables, ensuring high standards of quality and adherence to project timelines., • Solid understanding of HTTP protocol and REST APIs., • Experience in handling and automating large volumes of diverse input files, including CSV, JSON, and XML format, • Exposure to cloud technologies like AWS/Azure/GCP, • Exposure to LLM models like ChatGPT, Google Bard etc., • Exposure to Langchain, RAG and Fine Tuning of the LLM Models., • Exposure to PySpark and Databricks for Data pipeline creation. Familiarity with modern front-end technologies, • Exposure to cloud technologies, • Experience with ReactJS front-end development is a plus #J-18808-Ljbffr

hackajob is partnering directly with JPMorganChase to hire for this role. We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutionsthat support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Senior Manager - SRE at JPMorgan Chase within the AIML Data Platforms and Chief Data and Analytics Team, you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake Tools. In this role you will work in an agile environment, collaborating with cross-functional teams. • Leads a team of Site Reliability Engineers and support critical application 24x7, • Implements Site Reliability Engineering (SRE) best practices to ensure reliability, scalability, and performance of data platforms., • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems., • Scale and maintain a managed AWS Databricks platform, and provides engineering and operational support for the platform to Application/Engineering teams., • Drives reuse-first adoption of enterprise-authorized AI capabilities within the work environment to improve reliability operations and customer experience outcomes, with human-in-the-loop validation and appropriate handling of sensitive data., • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture., • Drives continuous improvement in system observability, alerting, and capacity planning., • Collaborates with engineering and data teams to optimize infrastructure and deployment processes, focusing on automation and operational excellence., • Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to Data Engineering teams, Data Science/ML, and Application/Integration teams., • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems., • Develops secure high-quality production code, and reviews and debugs code written by others., • Adds to team culture of diversity, opportunity, and respect., • Develops and maintains incident response procedures, including root cause analysis and postmortem documentation., • Experience with formal training or certification on software engineering concepts., • Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management., • Ability to manage highly technical team of Site Reliability Engineers., • Experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for reliability engineering workflows, including validation habits and awareness of data sensitivity., • Ability to set and reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes., • Extensive experience with AWS, Databricks, or Snowflake platform administration and engineering support is a MUST., • Experience with monitoring tools, automation frameworks, and CI/CD pipelines., • Proficient in Python application program development with use of automated unit testing., • Experience with Terraform development and understanding of Terraform enterprise., • Experience in delivering system design, application development, testing, and operational stability., • Knowledge of Big Data distributed compute frameworks like Spark, Glue, MapReduce etc., • Excellent troubleshooting, analytical, and communication skills., • Multi Region disaster recovery setup, monitoring and testing., • Experience in Data pipelines using Spark., • Exposure to AWS & Databricks Platform administration., • Knowledge of containerization (Docker, Kubernetes) and orchestration., • Familiarity with distributed systems and large-scale data processing. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. JBRP1_UKTJ #J-18808-Ljbffr

As an Applied AI Lead in our cross-functional team you will use your applied research, engineering and data science expertise to lead AI initiatives in the Corporate Functions. You will collaborate with technology and business partners to source, analyze and integrate diverse data sources; develop & evaluate models; architect, implement & deploy software solutions to public cloud infrastructure benefiting over 200k employees across the firm. You’ll solve business problems by creating and extending products to surface insights from a wide and ever-increasing range of data sources including news, company filings, non-government organization reports and market data. You’ll care about producing high-quality, maintainable AI solutions and be keen to develop skills across a broad and evolving technology stack centered on Large Language Models (LLMs), Generative AI, Agentic systems, Python and AWS cloud infrastructure. • Lead the design, build and deployment of impactful end-to-end AI solutions surfacing actionable insights for many business groups as part of a diverse team, • Drive exciting research and development activities for new and existing AI products, setting technical direction and standards, • Engage with stakeholders to understand and translate business requirements into robust technical solutions, • Oversee the complete product and software development lifecycle, including architecture, design, coding, testing, peer review, continuous integration and deployment, and validation, • Mentor and guide junior team members, fostering a culture of technical excellence through knowledge sharing, pair programming, collaborative debugging and design workshops, • Advanced degree (Master’s or PhD) in any STEM subject, • Practical research experience and a proven track record of applying AI or adjacent techniques to solve real-world problems in industry or academia, • Strong Python programming skills and familiarity with the Python ecosystem, • Demonstrated ability to lead technical teams and initiatives with strong communication and stakeholder management skills, • Experience applying large language models and agentic systems in industry, • Practical experience with graph technologies including databases and graph analytics frameworks, • Experience in natural language processing (NLP) and its applications, • Exposure to public cloud technologies and microservice deployment, • Experience in the financial services industry, • User interface design and development experience using React #J-18808-Ljbffr

Are you ready to shape the future of data engineering at JPMorganChase? Join a dynamic team where your unique skills will help build innovative solutions and contribute to a winning culture. You'll have opportunities for career growth, collaborate with talented professionals, and make a real impact on our business objectives. Your expertise will empower our teams and drive success across the firm. As a Software Engineer III at JPMorganChase within Investment Banking Data Products, you will design and deliver reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will develop, test, and maintain essential data pipelines and architectures, supporting various business functions to achieve the firm's goals. Working alongside talented engineers, you will use your skills to drive innovation and help shape our team culture — one built on excellence, collaboration, and continuous improvement. • Develop workflows and extract, load, and transform pipelines using Python and Databricks to support scalable and reliable data solutions, • Support the review of controls to ensure sufficient protection of enterprise data across the data lifecycle, • Implement data security using entitlements frameworks to safeguard sensitive information, • Update logical and physical data models based on evolving business use cases and requirements, • Apply SQL expertise — including complex joins and aggregations — and leverage working knowledge of NoSQL databases to support diverse data access patterns, • Apply reuse-first, AI-assisted practices to strengthen software development lifecycle quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability, auditability, and alignment to resiliency and security expectations, • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Formal training or certification on software engineering concepts and proficient applied experience, • Good working knowledge of cloud-based data services (especially Glue jobs and Federated Data Lake), unified analytics platforms, and Python, • Experience across the data lifecycle, including ingestion, transformation, storage, and access patterns, • Advanced proficiency in SQL, including joins and aggregations, with a working understanding of NoSQL databases, • Significant experience with statistical data analysis and the ability to determine appropriate tools and data patterns for analysis, • Experience utilizing cloud services for developing, deploying, and managing applications at scale, • Good understanding and working knowledge of software development lifecycle tools used for configuration management, continuous integration and delivery pipelines, unit testing, regression testing, and performance testing, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Familiarity with standardized data layer practices such as Medallion architecture, • Exposure to relational database platforms and cloud data warehousing solutions, • Curiosity and foundational understanding of generative AI, large language models, and AI/ML solutions, • Skills in designing efficient data models, including normalization, denormalization, and schema design, with an understanding of relational and star schemas #J-18808-Ljbffr

Are you ready to push the boundaries of what’s possible? At JPMorganChase, you’ll have the chance to make a real impact while growing your skills and advancing your career. We value creativity, collaboration, and a passion for technology. Join a team where your ideas matter and your contributions drive meaningful change. Experience the rewards of working in a supportive, forward-thinking environment. As a Lead Software Engineer in the Corporate Technology team, you will play a key role in delivering trusted, market-leading technology products. You will work within an agile team to enhance, build, and support secure, stable, and scalable solutions. You will help shape the team culture and drive impactful results across multiple technical areas. Your expertise will support the firm’s business objectives and foster innovation. • Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems., • Develop secure, high-quality production code, and review and debug code written by others., • Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team., • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation., • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems., • Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture., • Formal training or certification on software engineering concepts and advanced applied experience., • Hands-on practical experience delivering system design, application development, testing, and operational stability., • Advanced in one or more programming languages, preferrably Java., • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security., • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices., • Proficient in all aspects of the Software Development Life Cycle., • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security., • In-depth knowledge of the financial services industry and their IT systems., • Practical cloud native experience., • Experience working in big data environments with structured, semi-structured, and unstructured data., • Hands-on practical experience in system design, application development, testing, and operational stability., • Advanced knowledge of Java programming language., • In-depth knowledge of software applications and technical processes in areas such as cloud, AI, machine learning, or mobile., • Ability to tackle design and functionality problems independently with minimal oversight., • Proficiency in application, data, and infrastructure architecture disciplines., • Proficiency in cloud-native microservices architecture, design, and implementation., • Proficiency in event-driven architecture and application containerization., • Experience building applications on public cloud platforms like AWS, GCP, and Azure, with a preference for AWS., • Proficiency in real-time streaming applications using Apache Spark Streaming, Apache Kafka, Amazon Kinesis, and emerging cloud serverless managed services. #J-18808-Ljbffr

Join JPMorganChase, where your engineering expertise powers decisions that matter on a global scale. As part of Markets Technology, you'll work alongside some of the brightest minds in the industry, building resilient, high-impact systems that support critical functions across the firm. We offer an environment where innovation is encouraged, growth is supported, and your contributions directly influence the product and business. Join JPMorganChase, where your engineering expertise powers decisions that matter on a global scale. As part of Markets Technology, you'll work alongside some of the brightest minds in the industry, building resilient, high-impact systems that support critical functions across the firm. We offer an environment where innovation is encouraged, growth is supported, and your contributions directly influence the product and business. As a Frontend Lead Software Engineer at JPMorgan Chase within the Corporate & Investment Bank (CIB) Research Technology team, you will play a pivotal role in promoting frontend engineering excellence across the Research Platform. A large transformation of our client-facing platform is underway, and this role offers the opportunity to help shape its direction. You will leverage your full-stack expertise in a collaborative, high-performing environment to design, build, and enhance scalable, resilient solutions that support a rapidly evolving business. In this role, you will lead end‑to‑end engineering efforts that power the core capabilities of our platform, ensuring robust performance, reliability, and continuous improvement. • Lead and own end‑to‑end frontend deliverables across the Research Platform — from discovery through to architecture, delivery, and production, • Architect frontend solutions in a platform‑first approach, balancing the needs of our external clients, internal stakeholders, and partner teams, • Collaborate with product managers and cross‑functional engineering teams to translate complex business requirements into technical solutions, • Advance our ability to deliver frontend strategically — shaping SDLC practices, delivery mechanisms, and UI frameworks that scale across the platform, • Mentor and guide engineers, fostering a culture of technical excellence, continuous learning, and innovation, • Uphold a disciplined engineering standard — strong engineering practices, testing, accessibility, and compliance awareness — ensuring quality is built in by default, • Contribute to the evolution of the team's technology strategy, evaluating emerging tools and frameworks to bring value to the technology stack, • Proven end‑to‑end autonomous ownership of complex frontend deliverables involving multiple teams and stakeholders, • Deep, current expertise in a modern frontend stack (React, Vue, Svelte, Angular, or equivalent) with strong TypeScript fundamentals — comfortable across the stack and with modular or micro‑frontend architectures, • Experience working with a design system (Material, Fluent, Carbon, Radix, Bootstrap, or equivalent), partnering closely with UX and product design, • Strong testing discipline (unit, integration, end‑to‑end) and familiarity with modern frontend build tooling (Vite, Turbopack, Webpack), • Experience designing and deploying scalable, resilient cloud‑native applications on AWS, Azure, or Google Cloud, • Strong problem‑solving skills with the ability to manage and resolve complex technical challenges independently, • Experience working within Financial Services or regulated technology environments, • Experience partnering with design teams, translating style guides, and implementing modern web standards, • Experience of engineering delivery using modern frontend SDLC frameworks, leveraging agentic practices, • Ability to manage the risk and controls agenda across a technology portfolio J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. #J-18808-Ljbffr

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within Corporate Finance Technology, you serve as a seasoned member of an agile team to design and deliver trusted market‑leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems, • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development, • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems, • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture, • Contributes to software engineering communities of practice and events that explore new and emerging technologies, • Adds to team culture of diversity, opportunity, inclusion, and respect, • Formal training or certification on software engineering concepts and proficient applied experience, • Hands-on practical experience in system design, application development, testing, and operational stability, • Proficient in coding in one or more languages, • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, • Overall knowledge of the Software Development Life Cycle, • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.), • Familiarity with modern front-end technologies, • Exposure to cloud technologies. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. At JPMorganChase, we believe in investing in our people — offering you the tools, mentorship, and environment to grow, innovate, and make a real impact. You'll be part of a culture that values diversity, inclusion, and continuous learning, where your contributions directly shape the technology that serves millions of customers worldwide. As a Software Engineer III at JPMorganChase within Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. In this role, you will collaborate across teams to solve complex technical challenges, contribute to engineering communities of practice, and help drive a culture of excellence and innovation. objectives. • Execute software solutions across design, development, and technical troubleshooting, thinking beyond conventional approaches to break down complex problems and build scalable solutions, • Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems, • Produce architecture and design artifacts for complex applications, ensuring design constraints are met throughout the software code development lifecycle, • Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems, • Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture, • Contribute to software engineering communities of practice and events that explore new and emerging technologies, • Foster a team culture of diversity, opportunity, inclusion, and respect, • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Formal training or certification on software engineering concepts and proficient applied experience, • Hands-on practical experience in system design, application development, testing, and operational stability, • Proficiency in coding in one or more programming languages, • Experience developing, debugging, and maintaining code in a large-scale environment using one or more modern programming languages and database querying languages, • Solid understanding of the Software Development Life Cycle, • Working knowledge of agile methodologies such as continuous integration/continuous delivery, application resiliency, and security, • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, artificial intelligence, machine learning, mobile, etc.), • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Exposure to cloud technologies such as Amazon Web Services or equivalent cloud platforms, • Experience with Databricks and agentic AI solutions, • Familiarity with modern front-end technologies and frameworks, • Experience working in a large enterprise environment with cross-functional engineering teams #J-18808-Ljbffr

Push the limits of what's possible with us as an experienced member of our Software Engineering team. As a Software Engineer III at JPMorganChase within the Digital and Platform Services team, you serve as a member of an agile team to design and deliver trusted market‑leading technology products in a secure, stable, and scalable way. Depending on the team you join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of our private and public cloud platforms.s. • Design and develop scalable and resilient systems using Java to contribute to continual, iterative improvements for product teams, • Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems, • Produce and contribute to architecture and design artifacts for applications while ensuring design constraints are met by software code development, • Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems, • Identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture, • Contribute to software engineering communities of practice and events that explore new and emerging technologies, • Leverage enterprise‑authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Add to team culture of diversity, opportunity, inclusion, and respec, • Formal training or certification on software engineering concepts and proficient applied experience, • Hands‑on practical experience in system design, application development, testing, and operational stability, • Proficient in coding in Java, • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, • Overall knowledge of the Software Development Life Cycle, • Solid understanding of agile methodologies such as continuous integration/continuous delivery, Application Resiliency, and Security, • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.), • Hands‑on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, • Familiarity with modern front‑end technologies, • Exposure to cloud technologies, specifically Amazon Web Services (AWS) J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. #J-18808-Ljbffr

JPMorgan Chase & Co. in the United Kingdom is seeking an experienced Java Software Engineer for the Payments Developer Portal to design, develop, and maintain backend services powering our public-facing web portal. You will work with product partners to deliver customer-facing capabilities and internal enablement, driving platform security and developer self-service. The role emphasizes modern engineering practices, collaboration across functions, and responsible AI-assisted development to #J-18808-Ljbffr

JPMorgan Chase, a global leader in financial services, invites applications for a Senior Manager of Software Engineering within Corporate Technology. You will guide multiple agile teams, provide technical coaching, and influence design decisions to advance operational efficiencies. As a senior leader, you will manage stakeholder relationships, champion responsible AI, and drive enterprise‑level adoption of AI‑assisted development and SDLC automation to boost delivery speed and quality. #J-18808-Ljbffr

JPMorganChase seeks a Software Engineer III for the Asset Management Global Regulatory Reporting Technology team to design, build, and support cloud-native applications on Mercury, supporting regulatory obligations across jurisdictions and assets.

JPMorgan Chase & Co. in Glasgow invites a Lead Software Engineer to shape platform-level software—leading React-based micro-frontend work and scalable Python services. You will steer architecture decisions, champion secure, observable designs, and promote AI-assisted engineering practices across teams. Ideal candidates have deep SDLC knowledge, agile expertise (CI/CD, resiliency, security), and a strong grasp of the financial services tech landscape. #J-18808-Ljbffr