Lead Software Engineer - Java Low Latency

Posted 16 Minutes Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Leads development of secure, high-performance, low-latency Java applications and distributed systems. Translates business requirements into technical designs, produces architecture artifacts, conducts code and architecture reviews, and ensures scalability, resilience, security, and compliance. Mentors engineers, supports recruitment, drives agile delivery, and promotes responsible AI-assisted development, automated testing, and engineering best practices.
Summary Generated by Built In
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, 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. 
Job responsibilities
  • Designs and develops robust, high-performance, latency-sensitive code, incorporate security requirements and reviewing code written by team members using software engineering best practices. Writes secure, high-quality code and automated tests.
  • Works closely with Product Owners, Solutions Analysts, Technical Architects and Senior Engineers to design the best technical design and approach for technical development. Translates business requirements into technical solutions, recommend alternative technical and business approaches, and lead engineering efforts to meet ambitious timelines with optimal solutions.
  •  Helps refine the technical aspects of epics in collaboration with the Solutions Analysts.
  •  Translates business requirements into technical solutions, recommend alternative technical and business approaches, and lead engineering efforts to meet ambitious timelines with optimal solutions.
  •  Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by code.
  •  Drives architectural reviews, code reviews and business demos.
  •  Assesses compliance, risks, and vulnerabilities to ensure all systems and baselines are operationally sound, performant at scale, and exceed customer expectations.
  •  Contributes to the on-going development of the team, including recruitment, paired programming, peer review and mentoring. 
  • 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.


Required qualifications, capabilities, and skills
 
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Excellent understanding of Java 17+ fundamentals and frameworks (e.g. Spring Boot), OO programming paradigms, multi threading, messaging technologies, and computer networks. Experience of low-latency programming techniques and technologies (e.g. Inter-Process Communication, Memory-Mapped Files and Ring Buffers).
  •  Experience with gRPC and Google Protocol Buffers. Experience of working on distributed systems and detailed knowledge of distributed systems design patterns.
  •  Detailed knowledge of relational database technologies (e.g., PostgreSQL and CockroachDB), database resiliency, recoverability, scalability, and security.
  •  Experience with event-driven architecture and distributed messaging technologies (Kafka). Experience with diagramming software (e.g., Lucid, Draw.io, Visio) and technical writing.
  •  Passion for technical innovation and staying up to date with emerging technologies.
  •  Understanding of the full software development lifecycle and agile methodologies. 
  • 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
 
  • Hands on experience another statically compiled language like Golang, Rust or C++.
  • Experience with caching technologies, e.g. Apache Ignite, GridGain, Hazelcast or Redis.
  • Experience with infrastructure as code software, e.g. Terraform

Skills Required

  • Formal training or certification in software engineering concepts
  • At least 5 years of applied software engineering experience
  • Strong Java 17+ and Spring Boot experience
  • Understanding of object-oriented programming, multithreading, messaging technologies, and computer networks
  • Experience with low-latency programming techniques, including inter-process communication, memory-mapped files, and ring buffers
  • Experience with gRPC and Google Protocol Buffers
  • Experience designing distributed systems and knowledge of distributed systems design patterns
  • Knowledge of relational databases such as PostgreSQL or CockroachDB, including resiliency, recoverability, scalability, and security
  • Experience with event-driven architecture and distributed messaging technologies such as Kafka
  • Experience with diagramming software such as Lucid, Draw.io, or Visio
  • Technical writing experience
  • Understanding of the software development lifecycle and agile methodologies
  • Experience leading approved AI-assisted software development tools and validating outputs for correctness, performance, and security
  • Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security expectations
  • Experience coaching engineers on safe and compliant AI-assisted development
  • Experience with a statically compiled language such as Golang, Rust, or C++
  • Experience with caching technologies such as Apache Ignite, GridGain, Hazelcast, or Redis
  • Experience with infrastructure as code tools such as Terraform

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength — Medical coverage and wellness resources, including mental-health support and wellness incentives, are described as comprehensive and accessible; feedback suggests income-based contributions help keep care affordable.
  • Retirement Support — A dollar-for-dollar 401(k) match up to 5% of eligible pay, plus additional employer contributions in some cases, is highlighted as a strong pillar of financial security. Feedback suggests this structure is a notable advantage of the total rewards package.
  • Parental & Family Support — Up to 16 weeks of paid parental leave for all parents, along with fertility, adoption, surrogacy, childcare, and family-support resources, signals a family-forward approach. Feedback suggests these programs are a standout feature of the package.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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