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Lead software engineer on JPMorgan Chase's Asset Management Technology team, building and enhancing distributed trading/portfolio-construction systems (CMAS) as a hands-on developer and team lead. Core stack is Java, Python, React, and Spring Boot microservices, with cloud native, CI/CD, and AI-assisted engineering practices.
Senior lead software engineer on JPMorgan Chase's Consumer & Community Banking AI Production Architecture team, building production-grade multi-agent AI systems that automate the software delivery pipeline and driving AI-assisted engineering practices across teams. Day-to-day spans Python/TypeScript development, LLM API integration, agent reliability and observability, and mentoring engineers.
Senior Lead Software Engineer focusing on 100% hands-on development for pre-trade, pricing, and risk systems within the Securitized Product Group. Core technologies include Java (Spring Boot/Cloud), Python, or C++, alongside messaging platforms like Kafka and IBM MQ to build scalable trading solutions.
A senior engineer on JPMorgan Chase's Payments Data & Analytics team builds and operates agentic AI solutions end to end on NEO, the firm's agent runtime platform — agent execution/sandboxing (micro-VMs), A2A/MCP integrations, memory, retrieval and evals — using a strong Python backend, a TypeScript/Next.js front end, and cloud-native Kubernetes deployment.
Senior Lead Software Engineer on JPMorgan Chase's AI/ML Data Platforms team, building agentic AI platforms and LLM-backed enterprise services on AWS (RAG, vector memory, cloud-native microservices), while driving architecture decisions, code quality, MLOps, and AI-assisted engineering standards.
Senior Lead Software Engineer on JPMorgan Chase's CDAO AI/ML Data Platform team, building and operating secure, scalable 24x7 tier-1 data services while driving adoption of AI-assisted engineering practices across the SDLC. Core work is hands-on coding and system design in languages like Rust, Java, Go, or C++.
Lead Software Engineer at JPMorgan Chase's Asset & Wealth Management Marketing team, leading engineers to design, build, and run secure Java 21/Python services on cloud-native infrastructure (Spring Boot, Kafka, Kubernetes, AWS), while driving AI-assisted development practices, automation, and operational stability.
Lead Software Engineer on JPMorgan Chase's Corporate Technology - Employee Platforms team, building secure, scalable enterprise applications in Java, Spring Boot, and React within an agile team. Day to day involves hands-on design, coding, and troubleshooting, driving AI-assisted engineering practices, and improving operational stability of large-scale systems.
A Technical Project Manager II at JPMorgan Chase leads complex technology projects in Asset & Wealth Management Tech & Ops — planning timelines, managing budgets/resources and stakeholders, running Agile ceremonies, and applying enterprise-authorized AI-assisted tools across the SDLC from Plano, TX.
Lead Software Engineer at JPMorgan Chase developing FICC trading systems and cloud-native applications. The role involves building secure, high-quality code using AWS services like Aurora, EC2, and Lambda, while driving the adoption of AI-assisted engineering practices and managing front-to-back office trading flows.
Senior Lead Software Engineer on JPMorgan Chase's Commercial & Investment Banking Markets Tech team (market/model risk and trading), building secure full-stack products on AWS, guiding technical direction, and driving AI-assisted engineering practices across the SDLC.
Lead software engineer on JPMorgan Chase's Corporate Technology-Digital Workflows team, designing and delivering secure, scalable big data pipelines, storage, and analytics solutions on AWS. Day-to-day work centers on Python, FastAPI, and Spark with AWS services (Lambda, Glue, ECS) provisioned via Terraform, plus driving AI-assisted engineering practices.
Full-stack engineer on JPMorganChase's Internal Audit Technology team, designing, building, and operating enterprise applications: Java/Spring Boot and Python microservices, React frontends, containerized deployments to AWS, and CI/CD pipelines, within an agile team that also leverages AI-assisted development tools.
A mid-level software engineer on JPMorgan Chase's AI/ML Data Platforms - AI Research team builds Python-first AI platforms and GenAI applications (including agents), turning research from AIR and MLCoE into secure, scalable production products using cloud CI/CD and Terraform-based IaC.
An automation tester (SDET) on JPMorgan Chase's Commercial & Investment Bank engineering team, building and maintaining UI and API test automation frameworks in Python, TypeScript/JavaScript, or Java (Playwright/Selenium), validating data with SQL, and leveraging AI-assisted development tools within an agile CI/CD environment.
Lead Python engineer on JPMorgan Chase's Asset & Wealth Management Technology team, transforming the Quant Research Platform and portfolio construction stack. Day to day: build reusable Python quant libraries, partner with quant researchers on model development and validation, and drive AI-assisted engineering practices.
Lead Software Engineer on JPMorgan Chase's Consumer & Community Banking Customer Identity Platform team, designing and delivering secure, scalable identity, onboarding, and trust services. Day-to-day involves building distributed cloud APIs and event-driven services (e.g., Kafka), integrating identity-proofing vendors, and driving AI-assisted engineering practices.
Backend/software engineer on JPMorgan Chase's Commercial & Investment Bank Payments Technology team in Plano, TX. Day to day: designing, developing, and troubleshooting production software in an agile team — writing secure code, producing design artifacts, analyzing data, and using enterprise AI-assisted development tools. Requires 3+ years experience; AWS and Terraform preferred.
Lead full-stack engineer at JPMorgan Chase in Plano, TX, delivering end-to-end features spanning ReactJS frontends, Java/Python backend services, SQL persistence, and Kafka event streaming on AWS. The role also drives AI-assisted engineering practices, spec-driven development, containerization (Docker/Kubernetes), and Terraform-managed infrastructure while mentoring engineers.
Lead Software Engineer on JPMorgan Chase's Identity & Access Management team in Plano, TX, designing and building scalable Java full-stack microservices, mentoring engineers, and driving adoption of enterprise-approved AI-assisted development practices. Core stack includes Java, Spring Boot, REST APIs, and databases like Oracle/MS SQL/Cockroach.
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