Lead Software Engineer - Java Low Latency
JPMorgan Chase & Co.Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 bank, metro role, and mid-level backend title increase competition, but niche low-latency skills limit applicants.
Low-latency financial backend expertise and secure AI-assisted engineering practices make background fit highly specialized.
Explicit 5+ years plus required low-latency Java, distributed-systems, and messaging expertise increases filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and development of high-performance, low-latency Java applications with a focus on secure, scalable, and robust code.
Collaborate cross-functionally to translate business requirements into technical solutions and lead architectural reviews and code quality processes.
Drive adoption of AI-assisted engineering practices to enhance code quality, delivery speed, and operational outcomes while mentoring and developing the engineering team.
Minimum Requirements
5+ years of applied experience in software engineering with formal training or certification.
Strong expertise in Java 17+ and Spring Boot, including object-oriented programming, multithreading, and messaging technologies.
Experience with low-latency programming techniques (e.g., IPC, memory-mapped files, ring buffers) and distributed systems design patterns.
Hands-on experience with gRPC, Google Protocol Buffers, relational databases (PostgreSQL, CockroachDB), Kafka, and AI-assisted software development tools with leadership capability.
Ideal Candidate Profile
Experienced in developing and architecting distributed, low-latency systems in financial or similarly demanding domains.
Proven ability to lead teams adopting advanced AI tools responsibly within agile software development lifecycles.
Strong technical leadership skills demonstrated through mentoring, code reviews, design artifact creation, and collaboration with cross-functional teams.