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Senior Lead Software Engineer on JPMorgan Chase's Consumer & Community Banking Cobranded Cards team: writes and reviews secure Java production code, builds internal developer tooling, drives adoption of AI/LLM-assisted engineering practices, and operates 24x7 high-traffic systems with on-call duties.
Lead Software Engineer on JPMorgan Chase's Corporate AI/ML Data Platforms team, designing, building, and operating the AWS-based cloud infrastructure (Terraform, Docker/Kubernetes/EKS, Python/Java, GPU workloads) that lets data scientists train and deploy ML models at scale, with strong DevOps and platform-engineering practices.
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 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 on JPMorgan Chase's CDAO AI/ML Data Platform team, building and operating secure, 24x7 tier-1 online data services. Day to day involves hands-on coding, code reviews, system design, and technical guidance using Rust, Java, Go, or C++, with preferred exposure to the OLAP stack (DataFusion, DuckDB, Arrow Flight SQL).
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.
A senior engineering manager role in JPMorgan Chase's Commercial and Investment Bank Trade Finance team, leading multiple squads that design, build, and operate Java-based platforms for high-volume transactional and batch workloads. Day to day involves architectural oversight, coaching engineers, owning delivery across squads, and working with Java, microservices, event-driven messaging, and hybri
Senior-level software engineer at JPMorgan Chase who leads the design and architecture of Java/Spring microservices, mentors engineers, and enforces code quality through reviews and testing. Core stack includes Java, Spring Boot, Docker, Kafka, Oracle, Maven, and Git, with monitoring via Dynatrace and Splunk.
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.
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.
Lead Software Engineer in JPMorganChase's Chief Technology Office, building drop-in, AI-native components and driving team-wide adoption of AI-assisted engineering practices (code review, testing, troubleshooting) with strong validation standards. Day-to-day involves secure production code, system design, and operational stability using Java, JavaScript, or Python, cloud-native tooling, and CI/CD.
A hands-on Director-level engineering leader at JPMorgan Chase who writes code and leads teams on the Equity Plan Services platform, a high-throughput regulated financial system. Core work spans Java/Spring Boot microservices, Kafka event pipelines, AWS infrastructure (ECS/EKS, Lambda, DynamoDB), CI/CD, and driving agentic-AI-enabled engineering practices across departments.
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.
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.
Lead engineer on JPMorgan Chase's Consumer & Community Banking team, writing and reviewing secure production code, driving architecture evaluations, and improving operational stability of data-heavy platforms. Core technologies include Java, Python, Scala, Spark, Snowflake, SQL, AWS, and CI/CD tooling like Jenkins, GitHub, and Maven.
Lead Software Engineer on JPMorganChase's Corporate Technology — Architecture Data Solutions team: developing and reviewing secure production Java/Spring code, mentoring the team, driving adoption of AI-assisted engineering practices, and working on low-latency, high-throughput systems with model hosting (XGBoost) on AWS.
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.
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