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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 firm's 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 reconciliation-owning 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

Preferred qualifications, capabilities, and skills

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

Lead Software Engineer -Java Backend, Kafka- Payment Technology