We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking Operations Dispute technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
Lead the design, development, and deployment of highly scalable, fault-tolerant, mission-critical distributed systems and cloud modernization initiatives that process high-volume financial transactions with zero-downtime
Drive technical design decisions and long-term architecture strategy, making critical choices on technology stack, architectural patterns, and infrastructure solutions while evaluating and introducing emerging technologies that improve team productivity and system capabilities
Serve as technical lead for full-stack development, providing hands-on guidance to engineers on complex technical challenges, driving code review excellence, and championing engineering best practices across the team
Ensure code quality and security through comprehensive automated testing strategies (unit, integration, end-to-end), static code analysis, and vulnerability scanning
Mentor and develop engineering talent within the team, conducting technical coaching sessions and fostering a culture of continuous learning and technical excellence
Collaborate with cross-functional teams including architects, product owners, and engineering teams to translate business requirements into scalable technical solutions and delivery roadmaps
Partner with engineering teams across the organization to define technical scope, API contracts, integration patterns, cross-team dependencies, and end-to-end delivery plans
Drive delivery excellence across multiple concurrent initiatives in a fast-paced environment, effectively balancing technical debt, feature development, and operational stability
Establish and maintain comprehensive observability frameworks including logging, monitoring, alerting, and distributed tracing to ensure system reliability, rapid incident resolution, and operational excellence
Provide L3 production support and serve as technical escalation point for critical issues, collaborating with operations teams to ensure rapid incident resolution, root cause analysis, and system stability
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience building enterprise-grade applications
Expert-level proficiency in Java, Spring Boot, RESTful API design, and microservices architecture with demonstrated experience designing and building highly scalable distributed systems for high-availability production environments
Strong experience with AWS cloud services including EC2, ECS/EKS, Lambda, S3, RDS, SQS/SNS, API Gateway, and CloudWatch with infrastructure-as-code implementation using Terraform
Proficiency in front-end development with React JS, including state management (Redux/Context API), component design patterns, and modern JavaScript
Deep understanding of database design, optimization, and performance tuning for PostgreSQL and Oracle databases, including complex query optimization, indexing strategies, and transaction management
Proven experience implementing event-driven architectures using message queues (SQS/SNS), streaming platforms (Kafka, AWS MSK), and asynchronous processing patterns for high-throughput systems
Strong understanding of application security principles including OAuth2/JWT authentication, encryption at rest and in transit, secrets management, and secure API design
Expertise in CI/CD pipelines, continuous delivery methods, end-to-end automation, and automated deployment strategies using modern DevOps tools and practices
Proficiency in test-driven development (TDD), comprehensive testing strategies (unit, integration, end-to-end), and code quality practices
Expertise in application resiliency patterns (circuit breaker, retry, timeout, bulkhead), observability, and production monitoring using tools like Splunk, Dynatrace, and CloudWatch
Proven track record leading technical implementations through the complete Software Development Life Cycle from conception to production deployment, including operational stability and continuous improvement
Preferred qualifications, capabilities, and skills
Knowledge of the financial services industry, regulatory requirements, and their IT systems
Experience with Agentic AI solutions, machine learning model integration, or AI-powered automation frameworks
Exposure to Camunda BPMN or other workflow orchestration engines for complex business process automation
Experience with GraphQL API design and implementation