Lead Software Engineer Java Backend, Kafka- Payment Technology

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As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank Payments Technology team youare 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 firms business objectives.

Job responsibilities

• Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity opportunity inclusion and respect
• 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
• System design & resiliency (payments-grade): Produce HLD/LLD and implement resilient architectures (timeouts retries circuit breakers bulkheads backpressure) with failure-mode thinking deterministic recovery and strong operational readiness

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years applied experience
• Hands-on practical experience delivering system design application development testing and operational stability
• Payments domain expertise (hands-on): Deep experience building and operating ACH wires and instant payments systems across initiation validation orchestration/routing clearing/settlement returns/recalls/amends and reconciliationowning outcomes without formal people management
• Rail-specific processing knowledge (ACH): Strong understanding of batch-oriented processing cutoffs/windows file/batch validation exception flows (returns/NOC-style corrections) and reconciliation patterns; design for reruns resumability and controlled reprocessing
• Java/Spring depth (still coding): Expert-level Java (8/11/17) and Spring Boot/Spring ecosystem; performance tuning (JVM GC concurrency) transaction design and production readiness (health/readiness config profiles Actuator safe feature flags)
• Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g. for coding code review test acceleration troubleshooting) with the ability to set team expectations for validating AI outputs for correctness performance and security
• Strong understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; experience coaching engineers on safe compliant adoption within delivery practices

• API contract ownership: Own REST/event contracts for payment initiation status/tracking callbacks/webhooks and recall/amend requests; enforce versioning/backward compatibility consistent error models/reason codes and consumer-driven contract testing
• Quality & testing for critical flows: Define and implement testing strategy: golden message vectors simulators/mocks for rail participants integration/contract tests performance tests around cutoffs/spikes and resiliency/chaos testing; drive root-cause fixes
• Observability & operations: Build full traceability (correlation IDs across services) structured logs/metrics/tracing meaningful alerts/dashboards (latency acceptance/reject/return rates queue depth settlement/recon breaks); lead incident response and post-incident improvements