Lead Software Engineer - Platform Architect

JPMorgan Chase & Co.•Palo Alto, CA

About The Position

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 JPMorganChase within the Commercial & Investment Bank Payments Technology Team, 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. You will drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. You will design, develop, and optimize high-performance, low-latency OLTP systems that power mission-critical financial applications. You will build scalable, fault-tolerant platforms engineered for sub-millisecond response times that handle a high volume of transactions, ensuring data consistency, high availability, and regulatory compliance.

Requirements

Formal training or certification on software engineering concepts and 5+ years of applied experience building low-latency, high-throughput OLTP systems in Java
Hands-on practical experience delivering system design, application development, testing, and operational stability for latency-sensitive transactional platforms using Spring Boot
Advanced proficiency in Java (11/17/21+) with deep understanding of concurrency primitives, JVM internals, GC tuning, and performance-critical coding patterns
Expert-level knowledge of relational databases including execution plan analysis, index optimization, lock contention reduction, partitioning strategies for OLTP workloads
Proven experience designing low-latency APIs including Protocol Buffers schema design, connection multiplexing, streaming RPCs, and API rate limiting under high-concurrency conditions
Deep expertise with Apache Kafka for real-time event streaming in OLTP pipelines, including producer batching/compression tuning, consumer lag minimization, partition strategies for ordered processing, and JMS-based messaging (IBM MQ, ActiveMQ) for guaranteed delivery in transactional workflows
Ability to tackle design and functionality problems independently with little to no oversight
Practical cloud-native experience, including containerized deployment of latency-critical Spring Boot services
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Strong communication and collaboration skills for working in cross-functional teams

Nice To Haves

Experience designing high-availability, multi-region active-active OLTP architectures with synchronous/asynchronous replication, conflict resolution, and sub-millisecond failover strategies
Hands-on experience with low-latency data access patterns
Prior experience in real-time payments, fraud detection, or financial transaction processing where strict data consistency are non-negotiable
Strong knowledge of database security, access controls, and regulatory compliance
Familiarity with performance engineering tooling: JVM profilers, load testing frameworks, and systematic latency benchmarking (p50/p99/p999) across the full Spring Boot/Kafka/gRPC/JMS stack

Responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors, with a focus on low-latency Java/Spring Boot OLTP architectures and enterprise messaging patterns
Develops secure and high-quality production code and reviews and debugs code with an emphasis on latency-critical code paths, lock-free data structures, and efficient memory allocation
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in low-latency OLTP systems, real-time transactional processing, and event-driven architectures across the Java/JVM ecosystem
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Adds to the team culture of diversity, opportunity, inclusion, and respect
Architect and implement distributed OLTP applications to minimize transactional latency
Collaborate with SRE/DevOps teams to deploy and monitor OLTP services in cloud-native environments (AWS, GCP, Azure)