Lead Software Engineer — Workflow Orchestration; React | Camunda | Java​/Python) Full Stack

Push the limits of what's possible with us as an experienced member of our Software Engineering team.

Push the limits of what's possible with us as an experienced member of our Software Engineering team. As an Experienced Software Engineer at JPMorgan

Chase within the Global Technology team, you serve as member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Depending on the team that you join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of our private and public cloud platforms.

• Own end-to-end workflow architecture using Camunda (BPMN/DMN), defining orchestration patterns, boundaries, SLAs, and lifecycle management for critical business processes.
• Lead full-stack delivery of workflow-enabled products, spanning React JS UI (user journeys, forms, dashboards) and backend orchestration services (Java/Python), ensuring cohesive UX-to-process execution.
• Lead delivery of core orchestration services in Java (strong Core Java, concurrency, collections, JVM performance), building resilient and maintainable backend services that support workflow execution at scale.
• Translate requirements into executable process models (BPMN) and decision logic (DMN), partnering with product, operations, and control functions to ensure correctness and auditability.
• Design and implement integrations across multiple enterprise systems including Data Marketplace, Service Now, and IAM, using API/event-driven patterns and well-defined interface contracts.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Own IAM integration for secure workflow execution and UI access, including authN/authZ, service principals, token handling, entitlement checks, least privilege, and secure secrets management.
• Automate end-to-end request/fulfillment workflows (e.g., data access provisioning via Data Marketplace, approvals/ticketing via Service Now, automated fulfillment) with full traceability and operational controls. Engineer reliability for long-running workflows: idempotency, retries/backoff, timeouts, correlation IDs, compensation/saga patterns, and deterministic state transitions.
• Drive performance and scalability of Camunda runtime and workers, tuning job execution, worker patterns, concurrency, batching, and database interactions to meet throughput/latency targets. Establish strong observability and operability standards for workflows and full-stack services: structured logging, metrics, distributed tracing, dashboards, alerting, and runbooks for incident response.
• Build and maintain strong CI/CD for React UI, Java/Python services, and workflow artifacts, working with internal EAC pipelines to implement automated testing, security scanning, quality gates, versioning, and safe rollout/rollback; champion AI-enabled Engineering Excellence by applying approved AI-assisted practices (code review…