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채용JPMorgan Chase

Lead Software Engineer - Platform Architect

JPMorgan Chase

Lead Software Engineer - Platform Architect

JPMorgan Chase

Palo Alto, CA, United States, US

·

On-site

·

Full-time

·

2w ago

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 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.

Job 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)

Required Qualifications, Capabilities, and Skills

  • 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

Preferred Qualifications, Capabilities, and Skills

  • 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

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase’s review of criminal conviction history, including pretrial diversions or program entries.

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2

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

JPMorgan Chase 소개

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

직원 수

New York City

본사 위치

$500B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

3.2

보상

4.1

문화

3.8

커리어

3.0

경영진

2.5

65%

친구에게 추천

장점

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

단점

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

연봉 정보

41개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1개 리포트

$139,000

총 연봉

기본급

$107,000

주식

-

보너스

-

$139,000

$139,000

면접 경험

5개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

40%

경험

긍정 20%

보통 80%

부정 0%

면접 과정

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

자주 나오는 질문

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study