JPMORGAN CHASE BANK, N.A.

Open 35d North AmericaPrincipal

Sr Principal Software Engineer

Agentic AI Agile AI Automation Cloud +8 skills

Senior Principal Software Engineer on JPMorganChase's CDAO AI/ML Data Platforms team: leads strategy and development of data platform products, sets standards for agentic AI-enabled engineering, and builds/operates 24x7 tier-1 services. Core tech includes Rust/Java/Go/C++, cloud-native systems, and the OLAP data stack (DataFusion, DuckDB, Arrow Flight SQL).

233K – 325K $

Analytics Ccpa Data Quality Gdpr Risk Assessment

Chief Data & Analytics Office- Data Privacy Governance- Vice President

Open 35d C-level

Join JP Morgan Chase as a Business Control Manager for the Chief Data Office's Data Privacy Governance area/function at the Vice President and be part of a team that ensures strong and consistent controls are…

Agile AI Automation CI/CD Cloud +8 skills

Lead Software Engineer - AI/Supply Chain Full Stack

Open 35d Lead

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 Corporate Sector - Infrastructure…

Strategic Insights Data Science Lead

Agentic AI AI Ai Enablement Analytics Causal Inference +6 skills

Leads a Strategic Insights data science team inside JPMorganChase's Product, Experience & Technology Data & Analytics group, running hypothesis-driven analyses of product development productivity, operating-model changes, and AI tool adoption, then turning findings into decision-ready recommendations for senior Product Operations and Finance leaders. Core stack: Python, SQL, large-scale analytics

128K – 200K $

Lead Site Reliability Engineer

AI Analytics Automation CI/CD .NET +8 skills

Lead Site Reliability Engineer at JPMorgan Chase's Corporate & Investment Bank in Galena Park, TX. The role leads reliability and stability initiatives, major-incident response, SLO/error-budget definition, observability and CI/CD practices, and AI-assisted SRE workflows, while mentoring other engineers.

Open 35d North AmericaC-level

Lead Software Engineer (VP) - Valuation Control Group Technology

Agile AI Analytics Athena Automation +27 skills

Lead Software Engineer (VP) at JPMorganChase's Valuation Control Group, leading end-to-end architecture and delivery of pricing, risk, independent price verification, and fair-value reporting platforms built on Athena (Python), Databricks (PySpark/Delta Lake), and AWS, while mentoring engineers and enforcing CI/CD and engineering best practices.

Lead Software Engineer - Data and Payments Business Observability Platform

Agile AI Analytics API Api Design +36 skills

Lead engineer on JPMorgan Chase's Commercial & Investment Banking payments team, designing and delivering a business observability/activity-monitoring platform: a React (AG Grid) UI, Java/Spring Boot microservices with Kafka event-driven workflows, MySQL/Databricks data access, and AWS deployment via Jenkins CI/CD.

Full Stack Java Software Engineer III

Agile AI Automation AWS Cloud +21 skills

Software Engineer III at JPMorgan Chase building and troubleshooting full-stack Java web applications on an agile Corporate Sector team. Day-to-day work spans Java/Spring microservices deployed to Kubernetes, React front ends, SQL databases, and heavy use of enterprise AI-assisted coding tools.

Full-stack Java and React Software Engineer III

Accessibility Agile AI Angular AWS +31 skills

Join JPMorgan Chase's Commercial & Investment Bank as a full-stack engineer designing and delivering applications with Java/Spring Boot backends and React/Angular frontends, deployed on AWS using containers (ECS/EKS) and serverless (Lambda). Day to day involves agile delivery, CI/CD, automated testing, secure coding, and using AI-assisted development tools with validated outputs.

Product Manager - Corporate Technology Operations

Acceptance Criteria AI Analytics Azure Azure DevOps +15 skills

Product Manager in JPMorgan Chase's Corporate Technology Operations: owns the end-to-end product lifecycle for an enterprise technology product — discovery, backlog, user stories, and delivery with engineering — with hands-on analytics work building executive dashboards and AI conversational analytics (e.g., Databricks Genie, SQL, BI tools).

114K – 180K $

Open 35d North AmericaContract

Software Engineer III - Java Fullstack / AWS

Agile AI Angular API Aurora +30 skills

Software Engineer III on JPMorgan Chase's Commercial & Investment Banking technology team in Travis Heights, TX, delivering secure, scalable full-stack products in an agile setting. Day-to-day work spans Java microservices, React/TypeScript front ends, AWS, CI/CD, and use of enterprise AI-assisted coding tools.

Open 35d North AmericaC-level

Vice President - Lead Site Reliability Engineer

Agentic AI AI Analytics Ansible Automation +25 skills

Lead Site Reliability Engineer (VP level) in JPMorgan Chase's Corporate Sector Infrastructure Platforms team in Plano, TX. The role leads resiliency design reviews, major-incident response, SLI/SLO definition, and AI-assisted/agentic automation for operations, using observability tools (Grafana, Dynatrace, Splunk, etc.), IaC, and cloud/CI-CD technologies.

Emergency Response First Aid

Global Security - Security Officer

Open 35d

The Global Security (GS) North America Physical Security team consists of a dynamic group of security professionals who are responsible for providing a safe and secure environment for our employees, clients, and assets…

Full Stack Software Engineer III - Network Perimeter & CDN

Agile AI API Automation CI/CD +14 skills

Software Engineer III on JPMorgan Chase's Network Services team, designing and delivering full-stack, cloud-based solutions for network perimeter and CDN infrastructure. Day to day involves Python API development (Django/FastAPI), distributed system design on AWS, secure SDLC/CI/CD practices, and leveraging AI-assisted coding tools, with preferred edge security experience (Cloudflare/Akamai).

138K – 185K $

Product Owner - Unstructured Data & AI

AI Analytics Automation Data Pipelines Data Science

Product Owner in JPMorgan Chase's Consumer & Community Banking Data & Analytics team, defining the strategy and roadmap for turning documents, audio, video, and other unstructured/multimodal data into governed, reusable, AI-ready enterprise data products. Day to day involves stakeholder alignment, discovery, business cases, and guiding teams building unstructured data pipelines, metadata, search/r

133K – 215K $

Lead Software Engineer - AI/ML Java/Python

Agile AI Automation AWS CI/CD +10 skills

Lead Software Engineer at JPMorgan Chase's CCB AI/ML engineering team in Manhattan, acting as a core technical contributor who designs, builds, and secures AI/ML production code in Java/Python on AWS, while driving adoption of AI-assisted engineering practices, automation, and operational stability across an agile team.

Open 35d North AmericaC-level

Applied AI ML for Payments - Vice President

AI Airflow Automation AWS CI/CD +22 skills

A Vice President-level applied AI/ML engineer at JPMorgan Chase building production AI systems for wholesale payments operations — document processing, OCR/NLP, and LLM apps (RAG, fine-tuning) deployed on AWS. The role includes architecture and end-to-end delivery, MLOps/model governance, stakeholder partnering, and mentoring engineers.

171K – 260K $

Lead Software Engineer-Agentic/Java

Agile AI Automation AWS CI/CD +11 skills

Lead Java engineer at JPMorgan Chase's Consumer and Community Bank, designing and operating highly scalable, cloud-native backend microservices with Spring Boot, Kubernetes, and AWS, while driving the team's adoption of AI-assisted engineering practices across the SDLC.

Backend Software Engineer III - Python/JAVA

Agile AI Airflow Athena Automation +31 skills

Software Engineer III at JPMorgan Chase's Consumer & Community Banking data products team, building Python/Java services and secure, scalable ETL/ELT data pipelines. Core stack includes PySpark, dbt, Airflow, AWS (Glue, Athena, Lambda), Terraform, Snowflake, and lakehouse table formats, with Kafka/Flink and AI/ML concepts as a plus.