JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer – Lead Software Engineer - Java, Aws, Kafka

Backend EngineeringUpdated on Nov 13

Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 5 years of applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Proficiency in back-end technologies such as Java, Spring Boot, or Node.js, with experience building microservices-based applications; full-stack roles also require proficiency in front-end technologies such as HTML, CSS, JavaScript, TypeScript, React, or Angular.
Ability to independently solve design and functionality challenges with minimal supervision.
Experience with cloud platforms such as AWS, Azure, or 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.
Experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, and setting 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 within delivery practices.
Proficiency across the Software Development Life Cycle, including advanced understanding of agile methodologies such as continuous integration and continuous delivery, application resiliency, and security.
Experience leading design and delivery of Kafka-based event-streaming platforms or services in high-throughput environments; deep experience with event-driven architecture patterns and distributed-systems reliability.
Ability to lead technical direction by driving architecture decisions, writing or owning design documents, aligning stakeholders, and delivering through ambiguity.
Experience improving operability of streaming systems, including service-level objectives and agreements, on-call readiness, monitoring, incident response, and postmortems.
Hands-on production experience building and operating high-volume data-processing pipelines using Apache Spark (Spark SQL, Structured Streaming) and/or Apache Flink (DataStream or Table API).

Responsibilities

Execute creative software solutions, design, development, and technical troubleshooting, using approaches beyond routine or conventional methods to build solutions or break down technical problems.
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, including AI-assisted code review or refactoring, test-strategy acceleration, and incident or root-cause analysis support; establish consistent validation standards for secure coding, peer review, and automated testing, and promote reuse of effective patterns across the team.
Apply knowledge of Software Development Life Cycle toolchain tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized from automation.
Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems.
Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability to existing systems and information architecture.
Lead communities of practice across Software Engineering to increase awareness and use of new and leading-edge technologies.

Desired Qualifications

AWS certification.
Presentation, negotiation, mentoring, and stakeholder-management skills.
Ability to drive broader impact by sharing and contributing best practices.

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 and Community Banking, 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 break down technical problems
Develops secure 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
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Proficiency in back-end technologies (e.g., Java, Springboot, Node.js ) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).
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.
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
Proficient in all aspects of the Software Development Life Cycle including advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
Led 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. 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. Hands-on 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.

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.

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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