JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - Python, Kubernetes/Cloud Foundry

Backend EngineeringUpdated on Nov 13

Full-timeBengaluru, Karnataka, 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 experience delivering system design, application development, testing, and operational stability.
Advanced Python coding experience and proven application design and development experience.
Proficiency in Python, Django or Flask, Kubernetes or Cloud Foundry, and automated testing.
Understanding of RabbitMQ, Celery or asynchronous APIs, algorithms, and data structures.
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 such as CI/CD, application resiliency, and security.
In-depth knowledge of the financial services industry and its IT systems.
Practical cloud-native experience.

Responsibilities

Execute software solutions through design, development, and technical troubleshooting, using creative approaches to build solutions and 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; establish consistent validation standards for secure coding, peer review, and automated testing; promote reuse of effective patterns across the team.
Use software development lifecycle tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized through automation.
Identify opportunities to eliminate or automate remediation of recurring issues to improve software and system operational stability.
Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability within existing systems and information architecture.
Develop Python products and provide end-to-end support, including application development, testing, operational stability, and implementation of solutions adhering to microservices architecture.
Resolve technical issues, develop integration elements, build data models and APIs, and use open third-party SDKs.
Implement and adhere to resiliency patterns.

Desired Qualifications

Basic understanding of NoSQL databases such as Cassandra, Elasticsearch, and CockroachDB.
Understanding of microservices architecture.
Understanding of relational database management systems.

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 Network Automation Project team which is aligned to Infrastructure Platforms , 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. Our team members are passionate around solving business problems through innovation and engineering practices. You will partner continuously with the stakeholders on a daily basis to stay focused on common goals. You will work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our clients.

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
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
Develop python product and provide end to end support, have hands-on-knowledge in python application development, testing and operational stability to help team deliver high-quality products and implement solution adhering to micro services Architecture
Be instrumental in solving technical issues, developing integration elements, building data models, APIs, and open 3rd-party SDKs
Implement and adhere to resiliency patterns
Harness massive amounts of brainpower through our global network of technologists from around the world to tackle big challenges

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
Advanced Python coding experience ; Proven experience in application design and development
Proficiency in Python and Django/flask ; Kubernetes or Cloud Foundry ; Automated testing
Good understanding of Rabbit MQ , Celery/Asynchronous APIs ; algorithms & data structure
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
In-depth knowledge of the financial services industry and their IT systems
Practical cloud native experience
Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals

Preferred qualifications, capabilities, and skills

Basic understanding of NoSQL databases like Cassandra, Elastic Search, Cockroach DB
Good understanding of Micro services architecture
Good understanding of RDMS database

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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