JP Morgan Chase

Runs a consumer bank and an investment bank

Java Kafka Streaming Lead Software Engineer

Full-Stack EngineeringPosted on Nov 10

Full-timeColumbus, OH, USANo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts, with at least 5 years of applied experience.
Proficiency in back-end technologies such as Java, Spring Boot, and Node.js, with experience building microservices-based applications; full-stack roles also require technologies such as HTML, CSS, JavaScript, TypeScript, React, and Angular.
Experience leading the design and delivery of Kafka-based event-streaming platforms or services in high-throughput environments, with deep experience in event-driven architecture patterns and distributed-systems reliability.
Ability to independently solve design and functionality challenges with minimal supervision.
Experience working with cloud platforms such as AWS, Azure, and GCP; distributed systems; and web technologies, including RESTful APIs, web services, WebSockets, and JSON.
Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
Ability to lead technical direction, drive architecture decisions, write and own design documents, align stakeholders, and deliver through ambiguity.
Experience improving operability of streaming systems, including SLOs/SLAs, on-call readiness, monitoring, incident response, and postmortems.
Experience leading effective use of approved AI-assisted software-development tools for coding, code review, test acceleration, or troubleshooting, and setting team expectations for validating AI outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.

Responsibilities

Execute creative software solutions through design, development, and technical troubleshooting, using approaches beyond routine or conventional methods to build solutions or break down technical problems.
Lead the design and delivery of Kafka-based event-streaming platforms and services in high-throughput environments.
Code in back-end technologies such as Java, Spring Boot, and Node.js, building microservices-based applications.
Code in front-end technologies such as HTML, CSS, JavaScript, TypeScript, React, and Angular.
Work with cloud platforms such as AWS, Azure, and GCP; distributed systems; and web technologies, including RESTful APIs, web services, WebSockets, and JSON.
Develop secure, high-quality production code, and review and debug code written by others.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards for secure coding, peer review, and automated testing and promoting reuse of effective patterns across the team.
Apply software-development-lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized from automation.
Identify opportunities to eliminate recurring issues or automate their remediation to improve operational stability of software applications and systems.
Lead evaluation sessions with external vendors, startups, and internal teams to probe architectural designs, technical credentials, and applicability within existing systems and information architecture.

Desired Qualifications

Presentation, negotiation, mentoring, and stakeholder-management skills.
Problem-solving and analytical skills.
Ability to drive broader impact by sharing and contributing best practices.
AWS certification.
Experience building and operating high-volume data-processing pipelines using Apache Spark, including Spark SQL and Structured Streaming, and/or Apache Flink, including its DataStream or Table API, in production.

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 Consumer & Community Banking Marketing and Customer Insights 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.

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Lead design and delivery of Kafka-based event streaming platforms/services in high-throughput (high TPS) environments; deep experience with event-driven architecture patterns and distributed systems reliability
Code in back-end technologies (e.g., Java, Springboot, Node.js ) with experience building microservices-based applications
Code in front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular)
Work with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON
Develops secure and high-quality production code, and reviews and debugs code written by others
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.
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Proficiency in back-end technologies (e.g., Java, Springboot, Node.js ) with experience building microservices-based applications for full-stack roles (e.g., HTML, CSS, JavaScript, Typescript, React, Angular)
Experience leading design and delivery of Kafka-based event streaming platforms/services in high-throughput (high TPS) environments (deep experience with event-driven architecture patterns and distributed systems reliability)
Demonstrated ability to independently solve design and functionality challenges with minimal supervision
Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets and JSON
Hands-on experience designing and building scalable applications using SQL and NoSQL databases
Proven ability to lead technical direction: drive architecture decisions, write/own design docs, align stakeholders, and deliver through ambiguity
Experience improving operability (SLOs/SLAs, on-call readiness, monitoring, incident response, postmortems) for streaming systems
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
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management
Strong problem-solving, analytical, and communication skills
Ability to drive broader impact by sharing and contributing best practices
AWS certification
Experience building and operating high-volume data processing pipelines using Apache Spark (Spark SQL, Structured Streaming) and/or Apache Flink (DataStream/Table API) in production.

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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