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Senior Lead Architect in JPMorgan Chase's Enterprise Risk Technology team, shaping target-state information and data architecture for risk applications. Day to day: drive data governance/strategy, represent products in architecture governance, guide engineering teams, and apply enterprise AI to architecture workflows.
Join a dynamic team where data ownership and product delivery come together to create real customer and business impact. You'll help shape how trusted, well-governed data powers the Digital Utilities product and…
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.
Senior architecture role in JPMorganChase's Infrastructure Platforms International Services org: shaping target-state architecture for software applications and platform products, guiding technical direction and governance, and developing/reviewing secure production code. Focus areas include cloud, AI/ML and other disciplines, with enterprise AI-assisted workflows under human validation.
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.
Hands-on AI/ML lead engineer (VP) on JPMorgan's Asset & Wealth Management AI Engineering team, building and productionizing machine learning and LLM-powered applications for Private Bank clients. Day-to-day spans end-to-end solution design, Python development, LLM tooling (tracing, evals, guardrails), data pipelines, and cloud deployment on AWS/Azure.
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.
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.
Infrastructure Engineer III (SRE) on JPMorgan Chase's Enterprise Technology - Infrastructure Platforms team in Plano, TX, supporting Privilege & Access Management. Day to day: end-to-end application monitoring, capacity analysis and risk remediation at scale, and automation using Windows administration, Terraform, Ansible, PowerShell, Python and multi-cloud, with enterprise AI tools.
Back-end Software Engineer III at JPMorgan Chase building cloud-native Java microservices for Chase UK digital banking within the International Consumer Bank, spanning payments, lending, fraud prevention, onboarding and core banking. On-site role in Manhattan with a base salary of $137,750–$185,000.
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.
VP-level Lead Solutions Engineer at JPMorgan who owns and modernizes the end-to-end macroeconomic forecasting process, automating manual steps into governed, auditable workflows while leading a global team of engineers and analysts. Hands-on with Python, SQL, Excel, Databricks, AWS, CI/CD, and AI/ML forecasting.
Lead engineer for JPMorganChase's internal AI Agent Platform: designing and delivering the SDK, agent orchestration, RAG/NL2SQL capabilities, voice and document-extraction agents, and agentic memory in Python, while setting engineering standards for teams building LLM-powered agents across the firm.
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.
Data Engineer II on JPMorgan Chase's Consumer & Community Banking data technology team, building secure, scalable data pipelines and ETL solutions in an agile setting. Core stack includes PySpark, Python, AWS, workflow tools like Airflow, and modern data platforms such as Snowflake and Databricks.
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 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 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.
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