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

JPMorgan Chase
Ohio, USA
Full-time
Lead
Onsite
Discovered 2 weeks ago
javakafkapythonreactservicenowtypescript

Full Job Posting

Job Responsibilities

  • 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, ServiceNow, 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 ServiceNow, 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 support, test generation, defect detection) with rigorous validation for security, reliability, maintainability, and documentation.

Required qualifications, capabilities, and skills

  • Hands-on, practical experience in system design, application development, testing, and production operational stability for enterprise-grade platforms.
  • Proficiency in Java, React JS and/or Python, including strong fundamentals (clean code, OOP, concurrency as applicable) and building backend services/APIs.
  • Proven experience with workflow orchestration using Camunda (BPMN/DMN) and Camunda client/engine libraries (e.g., external tasks/workers, decisioning, process versioning).
  • Strong understanding of SDLC end-to-end, from requirements and design through build, test, release, and operate. Experience delivering within Agile teams and practices, including iterative planning, backlog refinement, and continuous improvement.
  • Strong CI/CD capability: building automated pipelines with quality gates (unit/integration tests, linting, security scanning) and operating within internal EAC pipelines to meet engineering standards.
  • Working knowledge of application resiliency patterns for long-running processes: idempotency, retries/backoff, timeouts, compensation/saga patterns, and failure recovery.
  • Strong focus on security-by-design: secure coding, secrets management, least privilege, and adherence to firm/organizational security expectations. Experience integrating workflows/services with multiple enterprise systems such as Data Marketplace, ServiceNow, and IAM (API/event-driven integration, contract testing, and operational support).
  • Demonstrated leadership in AI-enabled engineering using approved AI-assisted development tools (coding, code review, test acceleration, troubleshooting), with clear expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI usage in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and ability to coach engineers on safe, compliant adoption aligned to resiliency and security standards.
  • Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

  • Deep expertise with Camunda 7/8 libraries and integrations; hands-on with process versioning/migration strategies, multi-environment operations, and runtime performance tuning.
  • Strong experience designing distributed systems / microservices and event-driven orchestration (e.g., Kafka), including replay safety, deduplication, and eventual consistency patterns.
  • Advanced Java backend engineering (JVM profiling/tuning, concurrency, performance optimization) and/or production-grade Python services.
  • Full-stack engineering capability: strong React JS (TypeScript preferred) for workflow-driven UIs (intake forms, task lists, approvals, dashboards), plus API integration and state management aligned to backend workflows.
  • Proven delivery of enterprise integrations across platforms such as Data Marketplace, ServiceNow, IAM, and other internal/external systems using robust API/contract patterns.
  • Strong cloud operational experience (deployments, config/secrets, GitOps), including production readiness and environment promotion practices.
  • Excellence in observability and reliability (tracing, metrics, alerting, incident management, post-incident improvements) for long-running workflows. Demonstrated leadership in AI-enabled Engineering Excellence, using approved AI tools with disciplined validation and responsible AI practices (data sensitivity, security, compliance).

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