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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
Lead Applied AI/ML engineer in JPMorgan Chase's Wholesale Payments Operations, building production NLP, document-understanding, and LLM-enabled applications (RAG, fine-tuning) on AWS to automate high-scale payments workflows. Sets MLOps, model governance, and responsible-AI standards while mentoring engineers.
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…
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.
Security Engineer III on JPMorgan Chase's Cybersecurity & Technology Controls team, building and maintaining secure platform applications in Python and Java/Spring Boot. Day-to-day work includes writing secure code, troubleshooting and incident response, automating the SDLC, and ensuring security and regulatory compliance.
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.
Lead Software Engineer on JPMorganChase's Reference Data Engineering team, building Java/Spring Boot microservices and real-time event-driven data pipelines (Kafka, Kinesis, Spark) on AWS, Databricks, and on-prem to deliver curated reference data products across the firm, while championing AI-assisted engineering practices.
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.
A senior analytics role on JPMorgan Chase's MLIO team, optimizing GenAI/LLM-powered products (Conversational Insights, Insights for Coaching) across AWS and on-prem environments. Day-to-day involves SQL/Python data analysis, causal inference and ML-based root cause analysis, and presenting insights to leadership using tools like Tableau, Alteryx, Snowflake, and Spark.
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.
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.
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