JP Morgan Chase

Runs a consumer bank and an investment bank

Senior Lead Software Engineer - Multiple Teams

Full-Stack EngineeringConfirmed live in the last 24 hours

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.
Demonstrated experience using approved AI-assisted engineering tools and practices across the software development lifecycle, including validation, secure coding, peer review, automated testing, and responsible adoption at scale.
Demonstrated experience leading effective use of enterprise-authorized 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.
Strong 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 senior engineers and leads on compliant usage patterns and controls.
Deep expertise in Java 8 or later, Spring Boot, microservices, and React or Angular.
Strong Kafka and event-driven architecture experience, including retries, idempotency, dead-letter queue patterns, and schema/versioning.
Experience with SQL databases, data modeling, query optimization, and performance tuning.
Strong NoSQL experience with Cassandra, DynamoDB, or Elasticsearch, including data modeling, reliability, and scale.
Strong experience with Cloud Foundry or AWS and CI/CD strategy and execution.
Ability to use Dynatrace, Splunk, or Grafana for observability and monitoring.
Experience building resilient, highly available architectures, including consideration of failure modes, recovery, and operational readiness.

Responsibilities

Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, including AI-assisted code review and refactoring, test acceleration, release readiness, and incident/root-cause analysis.
Establish measurable validation standards for secure coding, peer review, and automated testing, and promote reuse of proven patterns and automation within the SDLC/TLM toolchain.
Apply knowledge of software development life cycle toolchain tools, including approved AI-assisted development and automation capabilities, to improve the value realized from automation at scale.
Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors.
Develop secure, high-quality production code and review and debug code written by others.
Drive decisions that influence product design, application functionality, and technical operations and processes.
Serve as a function-wide subject matter expert in one or more areas of focus.
Contribute to the engineering community by advocating firmwide frameworks, tools, and software development life cycle practices.

Desired Qualifications

Working knowledge of secure engineering practices and designing to meet Cyber Security and Technology Control requirements, including authentication/authorization, secure APIs, data protection, and dependency hygiene.
Demonstrated leadership in design reviews, mentoring, and cross-team technical alignment.

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and community banking technology - Business Banking 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. 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.

Job responsibilities

Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
Develops secure and high-quality production code, and reviews and debugs code written by others.
Drives decisions that influence product design, application functionality, and technical operations and processes.
Serves as a function-wide subject matter expert in one or more areas of focus.
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Demonstrated experience using approved AI-assisted engineering tools and practices across the software development lifecycle, with an understanding of validation, secure coding, peer review, automated testing, and responsible adoption at scale.
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
Deep expertise in Java 8+ / Spring Boot, microservices, and React/Angular.
Strong Kafka/event-driven architecture experience (retries, idempotency, DLQ patterns, schema/versioning).
Experience with SQL databases with data modelling, query optimization and performance tuning.
Strong NoSQL experience: Cassandra / DynamoDB / Elastic Search (data modeling, reliability, scale).
Strong experience with Cloud Foundry/AWS and CI/CD strategy and execution.
Ability to work with tools such as Dynatrace, Splunk, Grafana for observability and monitoring
Experience building applications with resilient, highly available architectures, including consideration for failure modes, recovery, and operational readiness.

Preferred qualifications, capabilities, and skills

Working knowledge of secure engineering practices and designing to meet Cyber Security and Technology Control requirements (e.g., authentication/authorization, secure APIs, data protection, dependency hygiene).
Demonstrated leadership in design reviews, mentoring, and cross-team technical alignment.

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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