Lead Software Engineer - Java,

Position: Lead Software Engineer - Java, Payments
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 Payouts organization, focused on Payment Initiation, 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, scalable, and resilient way. As a core technical contributor, you are responsible for designing and delivering critical technology solutions across multiple technical areas, supporting high-volume payment initiation platforms and complex distributed systems that are essential to the firm’s business objectives.

This role requires deep engineering expertise in building and operating production systems at scale, with strong emphasis on distributed systems, low-latency processing, high availability, resiliency, recoverability, observability, and operational excellence.

Job Responsibilities:

Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down complex technical problems.

Designs, develops, tests, deploys, and operates secure, high-quality production code for high-scale, low-latency payment initiation systems.

Leads technical design and implementation of distributed systems using technologies such as Java, Kafka, relational databases, No

SQL databases, event-driven architecture, APIs, and cloud-native platforms.

Provides technical leadership across application design, system integration, data flow, resiliency patterns, and operational readiness for business-critical payment platforms.

Builds and supports systems with demanding non-functional requirements, including throughput, latency, availability, scalability, recoverability, fault tolerance, observability, and condensed service-level agreements.

Identifies opportunities to eliminate, reduce, or automate remediation of recurring production issues to improve overall operational stability and reduce mean time to detect, diagnose, recover, and resolve incidents.

Drives engineering practices that improve MTTR, system reliability, deployment safety, rollback capability, alert quality, and production support effectiveness.

Develops secure, high-quality production code and reviews, debugs, and improves code written by others.

Partners with product, operations, architecture, cybersecurity, infrastructure, and business stakeholders to deliver payment initiation capabilities aligned to business objectives and risk expectations.

Champions engineering excellence through code quality, automated testing, CI/CD, observability, performance engineering, chaos/resilience testing, and secure software development practices.

Leads communities of practice across Software Engineering to drive awareness and adoption of modern engineering practices, distributed systems patterns, and leading-edge technologies.

Required Qualifications , Capabilities, and

Skills:

Formal training or certification on software engineering concepts and applied experience or relevant practical experience in software engineering, distributed systems, or production platform engineering.

Hands-on practical experience delivering system design, application development, testing, deployment, and operational stability for complex production systems.

Advanced proficiency in one or more programming languages, preferably Java, with strong understanding of object-oriented design, concurrency, performance tuning, and secure coding practices.

Strong experience designing and operating distributed systems in high-scale, low-latency, business-critical environments.

Practical experience with event-driven architecture and messaging platforms, preferably Apache Kafka, including topics, partitions, consumer groups, offsets, ordering, retries, dead-letter handling, idempotency, and failure recovery patterns.

Experience with relational databases and/or distributed data stores, including SQL and No

SQL databases, data modeling, query optimization, transaction handling, consistency patterns, replication, and high-availability design.

Strong understanding of payment processing, payment initiation, payout flows, transaction lifecycle, reconciliation, idempotency, duplicate prevention, failure handling, and auditability.

Experience improving operational stability by reducing manual intervention, automating remediation, tuning alerts, eliminating recurring incidents, and reducing MTTR.Advanced understanding of agile methodologies, CI/CD, application resiliency, cybersecurity, and secure software engineering  knowledge of the financial services industry and its technology systems, controls, risk expectations, and operational disciplines.

Practical cloud-native experience, including designing or operating applications on public or private cloud platforms using containers, orchestration, infrastructure automation, and cloud resiliency patterns.

Preferred…