Top Tech Jobs & Startup Jobs in Chicago, IL

Lead client onboarding implementations for treasury and banking products, guiding new and existing clients onto the Chase banking platform. Responsibilities include managing strategic initiatives, resolving complex issues, ensuring policy compliance, coordinating teams, managing conflicts, improving operating processes, and fostering client and stakeholder collaboration. The role also supports technology adoption, anti-fraud awareness, cybersecurity, workflow automation, and AI-enabled efficiency improvements.

Leads full-stack software engineering for secure, scalable corporate technology systems. Designs distributed, event-driven microservices using Java, Spring Boot, Kafka, MongoDB, and CQRS/Saga patterns; builds React and TypeScript applications; reviews code; improves operational stability; and guides architecture, testing, security, and AI-assisted engineering practices. Collaborates with vendors and internal teams while leading technical communities and promoting agile delivery.

Leads software engineering for secure, scalable financial technology applications. Designs distributed systems using event-driven pipelines, CQRS, and real-time streaming; develops and reviews React UI code; improves automation, testing, resiliency, and operational stability; collaborates with UX, product, backend, vendors, and internal teams; and guides responsible adoption of AI-assisted engineering practices.

Leads affluent-segment business development strategy, go-to-market execution, client acquisition, retention, and relationship deepening. Establishes operating plans, governance, incentives, referral programs, client insights, and performance metrics. Partners with senior stakeholders, HR, finance, controls, data, and technology teams to scale execution, manage risk, support transformation, and develop relationship-management talent.

Leads business analytics strategy and operational insights for a global banking services organization. Responsibilities include defining management metrics, overseeing analytics initiatives, partnering with senior stakeholders, developing executive presentations, identifying operational improvements, coordinating technology and data roadmaps, and exploring datasets through visualization and advanced analytics.

Lead development and scaling of automation-enabled paid social campaign execution. Translate platform expertise into tools, workflows, and governance for AI-enabled media, partnering with analytics, tech, legal, and agencies to operationalize, test, and measure automation-driven performance improvements.

Lead complex payments technology programs from planning through delivery. Manage technical requirements, resources, budgets, schedules, risks, issues, and dependencies while coordinating engineering, product, business, and executive stakeholders. Drive agile practices, continuous improvement, governance, and data-informed optimization. Apply enterprise-authorized AI to planning and reporting with careful validation and data-sensitivity controls. Ensure technology initiatives align with firm objectives and maintain delivery momentum through proactive risk mitigation.

Designs and delivers secure, scalable full-stack Java solutions for commercial and investment banking use cases. Responsibilities include maintaining master data models, building ingestion and distribution pipelines, developing APIs, creating CI/CD and ML deployment pipelines, implementing AWS infrastructure as code, contributing to knowledge graphs, and producing architecture and design artifacts. The role also requires collaboration across data platform teams and responsible use of AI-assisted development tools.

Leads end-to-end delivery, launch, commercialization, and operationalization of the J.P. Morgan Next commercial card product. Manages external partners, cross-functional dependencies, change management, regulatory controls, resourcing, timelines, and executive reporting while driving product enhancements for innovation economy and emerging middle-market clients.

Designs and maintains data pipelines supporting monthly profitability close, automates manual finance workflows, and develops machine learning solutions for quality control, anomaly detection, and reconciliations. The role extracts and delivers financial data, prototypes LLM and agentic tools, and partners with Finance, Technology, and P&A on analytics initiatives. It also communicates technical methods and results to senior business stakeholders.