Jobs at JPMorganChase

Leads the design, experimentation, evaluation, and productionization of machine learning, deep learning, NLP, LLM, and generative AI solutions. Develops production-ready Python code, optimizes model performance, integrates generative AI into ML platforms, and partners with product and engineering teams. Provides technical leadership, mentors practitioners, and drives scalable, measurable solutions using advanced techniques such as fine-tuning, embeddings, RAG, prompt engineering, and distributed training.

Leads development of full-stack, cloud-native software using Java, Python, and AWS. Builds secure microservices, APIs, and LLM-powered capabilities; establishes engineering, testing, reliability, observability, and CI/CD standards; mentors engineers; drives responsible AI-assisted development; and manages production operations, incident response, and technical direction across agile initiatives.

Lead end-to-end delivery of cloud-native, full-stack software initiatives, defining architecture, engineering standards, reliability practices, observability, CI/CD, and secure production operations. Build microservices, APIs, and AI capabilities using LLMs and generative AI. Guide responsible AI-assisted development, lead incident response and continuous improvement, mentor engineers, and align technical priorities across stakeholders and initiatives.

Leads the design, development, testing, troubleshooting, and delivery of secure, scalable cloud-native microservices and full-stack applications. Builds resilient architectures, reviews production code, automates recurring remediation, and resolves operational issues. Drives adoption of approved AI-assisted engineering tools while establishing validation, security, and responsible-use standards. Mentors engineers, promotes modern software practices, and leads communities of practice across Software Engineering.

Analyze security alerts, investigate incidents using logs, endpoint telemetry, network traffic, and security tools, and support containment, eradication, and recovery. Develop detection and response playbooks, document investigations, improve security operations processes, and collaborate cross-functionally. Use authorized AI capabilities for triage and reporting while protecting sensitive data. The role requires SOC and incident response experience, scripting familiarity, knowledge of cyber threats and networking, and willingness to work rotating shifts including weekends and holidays.

Leads security engineering across multiple technology domains, clarifies security requirements, supports multi-level network security, and advises stakeholders during vulnerabilities and disruptive events. Performs threat modeling, risk assessment, vulnerability and penetration testing, and validates AI-assisted security recommendations. Designs and implements enterprise security solutions while ensuring security testing, control validation, traceability, auditability, and resiliency throughout software development lifecycles and toolchains.

Develops and supports secure, scalable software solutions for Wholesale Credit Risk Technology. Responsibilities include application design, Java and React development, troubleshooting, architecture documentation, testing, data analysis, and maintaining production stability. The role uses Spring Boot, Kafka, JUnit, Mockito, agile practices, CI/CD, and enterprise-authorized AI coding tools while ensuring secure, resilient, high-quality engineering outcomes.

Develops secure, scalable software solutions within an agile team. Responsibilities include designing, coding, testing, debugging, troubleshooting, creating architecture artifacts, maintaining production systems, analyzing large datasets, and improving application quality and resiliency. The role also involves using and validating enterprise-authorized AI coding tools, applying secure and responsible AI practices, and guiding peers on effective engineering workflows.

Leads software engineering initiatives focused on application reliability, stability, support, and operational improvement. Designs and develops scalable systems, troubleshoots complex technical issues, analyzes data, and builds monitoring and reporting solutions. Applies AI-assisted development and agentic AI to automate incident detection, remediation, root-cause analysis, alerting, runbooks, and observability. Works with Java or Python, Kubernetes, AWS, monitoring platforms, Splunk, ticketing systems, CI/CD, and agile practices while mentoring engineers and promoting secure, responsible AI adoption.

Design, develop, and operate secure AWS-based data platform services and Python control-plane automation. Build backend APIs, infrastructure-as-code, provisioning workflows, pipeline enablement, and IAM/security controls. Drive reliability, observability, testing, CI/CD, and scalable architecture while partnering with security, data engineering, and application teams. Use authorized AI-assisted development tools responsibly and validate generated outputs for security, correctness, and performance.

Conducts security alert analysis, threat investigations, incident response, and malware analysis using SIEM, EDR, network, endpoint, and log data. Develops detection and response playbooks, improves security operations processes, collaborates with cross-functional teams, and uses authorized AI capabilities for triage and reporting. The role also mentors colleagues, communicates findings to technical and executive audiences, and strengthens the organization’s cybersecurity posture.

Coordinates group air travel programs from intake and setup through post-event follow-up. Serves as a liaison among clients, travel advisors, and internal teams; manages timelines, documentation, bookings, traveler activity, arrivals, departures, reports, quality control, and stakeholder updates. Requires three or more years of travel-industry experience, GDS or self-booking tool proficiency, Microsoft Office skills, strong communication, and multitasking abilities.

Leads development of secure, scalable, cloud-native microservices applications for banking payments. Designs, builds, tests, debugs, and reviews production software using Java, React, distributed systems, and modern architectural patterns. Drives automation, resiliency, continuous delivery, technology modernization, and engineering best practices while mentoring colleagues and contributing to cross-team communities of practice.

Generate daily valuations for securitized products, model cash flows, analyze market data and asset performance, conduct quality assurance and surveillance, and identify product growth opportunities. The role involves quantitative financial analysis, client communication, and collaboration with trading, research, sales, and technology teams worldwide.

Supports go-to-market strategy for embedded finance payments by analyzing markets, clients, pricing, competition, and pipelines. Develops segmentation, opportunity sizing, sales enablement materials, commercialization initiatives, and performance tracking. Partners with product, marketing, sales, legal, risk, compliance, and technology teams while supporting client engagement and growth opportunities.

Leads software engineering and quantitative development for asset management technology, building secure, scalable systems supporting research, portfolio management, and investment workflows. Develops and reviews production code using Java and/or Python, applies AWS cloud-native practices and infrastructure as code, improves operational stability, and promotes responsible AI-assisted engineering. Partners with stakeholders and vendors on architecture and technical solutions while supporting data engineering, distributed processing, databases, and financial services applications.

Manage regulatory, internal, and external examination activities for the Corporate Third Party Oversight program. Prepare high-quality responses, synthesize complex information, brief executives and regulators, coordinate timelines and deliverables, produce reporting and thematic analysis, improve exam-management processes, maintain documentation, and advise cross-functional stakeholders across business lines and regions.

Manage Agency Mortgage-Backed Securities investments within JPMorgan Chase’s Treasury and Chief Investment Office. Responsibilities include conducting relative-value and market analysis, generating trade ideas, executing trades, monitoring MBS markets, analyzing prepayments and macroeconomic trends, improving analytics, presenting market updates, and collaborating with risk, finance, middle-office, and strategy teams.

Leads software engineering for infrastructure workflow platforms, including architecture, implementation, production operations, roadmaps, agile delivery, mentoring, and AI-enabled engineering capabilities. Develops MCP integrations, agent patterns, evaluation guardrails, data pipelines, and secure, observable services. Requires strong Java and Python expertise, systems design, testing, CI/CD, messaging, SQL, responsible AI practices, and cross-functional leadership.

Lead architecture and hands-on full-stack development for a financial simulation platform. Build React and TypeScript interfaces, Python and Java services, APIs, visualizations, and AWS deployments. Establish standards for security, accessibility, testing, observability, and performance. Mentor engineers, guide responsible AI-assisted development, collaborate with Treasury, risk, quantitative, and product stakeholders, and support production reliability and incident response.