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Lead Software Engineer on a product team at JPMorgan Chase focused on software reliability (SRE): designing and developing scalable, resilient systems in Python, driving operational excellence, and troubleshooting, optimizing, and maintaining production code to high reliability and security standards.
Senior Lead Software Engineer at JPMorgan Chase's Corporate Sector, working in an agile team to build secure, scalable Java/Spring Boot microservices and low-latency APIs on Kubernetes and cloud infrastructure. Day to day involves writing and reviewing production code, driving technical decisions, and mentoring teams while working with Kafka, Cassandra, and observability tooling.
A senior hands-on engineering lead at JPMorgan Chase's Global Finance team who builds and optimizes Databricks/PySpark data pipelines, retrieval layers, and tool-use APIs that power agentic AI systems, while mentoring junior engineers in an agile AWS environment. Core tech: Python/PySpark, Databricks, Delta Lake, AWS (Glue, S3, Lambda), Snowflake, Terraform, CI/CD.
Leads engineering on JPMorgan Chase's Commercial & Investment Banking payments data platform: designing, building, and running scalable batch and real-time data pipelines plus platform components (cataloging, data quality, semantic layers). Core stack is Python, Java, SQL, Spark, Flink, Kafka, Airflow, Databricks, and AWS data services, with a strong emphasis on AI-assisted engineering practices.
Senior data engineer at JPMorgan Chase on the Employee and Experience Technology team, designing and maintaining PySpark data pipelines on a Databricks-on-AWS lakehouse for workforce analytics. Work spans medallion architecture, Delta Lake data quality, performance tuning, CloudWatch monitoring, and delivering curated datasets to BI partners using Sigma, Tableau, and Alteryx.
VP-level Lead Analytics Engineer on JPMorgan Chase's Risk Management & Compliance team, based on-site in Glasgow, Delaware. The role leads analytics engineering work that helps the bank anticipate emerging risks and keep the firm resilient and compliant; the posting does not list specific technologies.
Security-focused software engineering role on JPMorganChase's Corporate Technology HR Engineering team: design, build, and support security for the Oracle HCM platform, including role provisioning, data/function security, SOD analysis, and audit-defensible security architecture. Core stack: Oracle HCM, SQL/PL/SQL, Python, REST APIs, Kafka, JavaScript, and AWS.
Lead software engineer on JPMorgan Chase's Commercial & Investment Bank trading technology team, designing and building real-time trade processing and data/analytics platforms with Java, Spring Boot, React, Kafka, Python, Databricks, and Spark on AWS, while championing AI-assisted engineering practices and leading technical direction.
Lead Software Engineer at JPMorgan Chase's Corporate Technology team in Jersey City, NJ, building secure, scalable full-stack banking applications with Java/Spring backends and Angular/React frontends. Day to day involves REST API and database work, CI/CD and cloud delivery, and driving adoption of AI-assisted engineering tools like Copilot and Claude Code.
Lead Software Engineer at JPMorgan Chase's Commercial and Investment Bank, building secure, scalable full-stack applications (Java/Python microservices with React/Angular front ends) on cloud-native infrastructure, while driving AI-assisted engineering practices across the team.
As an AI Transformation Lead in Asset & Wealth Management, you will drive the strategy and execution of cutting-edge AI initiatives, collaborating with talented teams to solve complex business challenges. You will…
Lead full stack engineer at JPMorgan Chase (Data Management/Data Tech) designing and building real-time, mission-critical systems in Java — with Spring, Kafka, AWS, and Terraform — while driving AI-assisted engineering practices (code review, testing, troubleshooting) across an agile team in Manhattan.
Builds and runs an agentic, AI-first data platform for JPMorgan Chase's Asset & Wealth Management team in Plano, TX — developing AI skills, agents, and RAG capabilities with Claude Code while owning full-stack delivery (React/Angular, Python/Java/Kotlin) and data engineering on Spark, Kafka, Airflow, Snowflake, and AWS.
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 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.
Bring your Expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by…
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