Search jobs right inside Claude, ChatGPT or Cursor. Connect freehire over MCP — free, no account needed to search.
Lead Software Engineer on JPMorganChase's Commercial & Investment Bank Markets Technology team, serving as a core technical contributor building and delivering secure, stable, and scalable cloud infrastructure products within an agile team. Onsite role based in Galena Park, TX (Harris County).
Senior Lead Software Engineer in JPMorgan Chase's Chief Technology Office focused on AI-native component engineering. Day to day, you work on an agile team to enhance, build, and deliver the bank's technology products in a secure, stable, and scalable way.
Lead Software Engineer on JPMorganChase's On Premise & Next Generation Infrastructure team, building a private cloud offering on a small, globally distributed agile team. Focus is on virtualization and cluster lifecycle automation across multiple hypervisor platforms, with an emphasis on Hyper-V and a consistent end-user experience.
Lead hands-on Java engineer building next-generation liquidity trading capabilities on JPMorganChase's Morgan Money platform within Asset & Wealth Management — partnering with trading stakeholders, shipping frequently, and applying enterprise-authorized AI-assisted practices to improve reliability, speed, and client outcomes. On-site in Westerville, OH.
Site Reliability Engineer III at JPMorgan Chase on the CDAO AI/ML & Data Platforms team, based onsite in Hudson County, NJ. The role writes code and configures/maintains cloud infrastructure to keep the bank's mission-critical data and AI/ML platforms reliable.
Lead software engineering for JPMorgan Chase's enterprise liquidity risk technology team, owning non-functional requirements (resiliency, security, scalability, monitoring, instrumentation) for the team's applications and driving strategic planning and continuous improvement.
Lead full-stack software engineer on JPMorgan Chase's Consumer & Community Banking agile team, building, enhancing, and delivering secure, stable, and scalable banking technology products as a core technical contributor across multiple technical areas.
Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank Payments (Data Analytics & Regulatory Compliance) team, designing and delivering ML and agentic AI solutions for treasury in a secure, stable, and scalable way as part of an agile team.
Lead Software Engineer on JPMorgan Chase's Commercial & Investment Banking Data Analytics Payments team, building secure, scalable data and analytics products with agentic AI capabilities in Java and Python, collaborating with senior stakeholders within an agile team. Onsite in Hudson County, NJ.
Software Engineer III at JPMorgan Chase within the Commercial and Investment Bank Technology team, serving as a core technical contributor on an agile team that builds and delivers secure, stable, and scalable banking technology products. Day-to-day work centers on Python, PySpark, GKP, and PostgreSQL.
Senior lead software engineer on JPMorgan Chase's Commodities Tech team, building and enhancing front-office trading technology (the Athena platform) for the Precious Metals and Agriculture business. Day to day is agile delivery of secure, stable, scalable products for the bank's commodities desk, working onsite in Manhattan.
Lead data scientist on JPMorgan Chase's Legal Applied AI/ML team in Corporate Technology, tackling problems like semantic search, question answering, document analysis, and service-inquiry automation using GenAI/LLM techniques with Python and Spark on AWS.
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.
Lead senior Java engineer role on JPMorgan Chase's Consumer & Community Banking team: designing, building, and mentoring on a high-throughput 24/7 banking platform, driving a monolith-to-microservices journey using core Java, Spring, REST, Kubernetes/Docker, SQL and NoSQL databases, and CI/CD tooling like Jenkins, Git, and JIRA.
Mid-level Java engineer on JPMorganChase's Asset & Wealth Management team in Plano, TX, working in an agile group to design, build, test, and troubleshoot secure software components using Java, React, and AWS, with emphasis on SDLC automation and AI-assisted development tools.
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.
Senior lead engineer at JPMorganChase building automation for virtualized cluster lifecycles (OpenShift/Kubernetes, VMware ESXi) — provisioning, patching, compliance, and Day-2 operations — using Go and Java services, Temporal-style orchestration, and AI-assisted engineering practices. Also leads deployments, applies SRE practices, and mentors engineers from Jersey City, NJ.
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.
We couldn't check your fit for this role — add a CV to your profile to see it next time.