Senior Lead Software Engineer - Python Backend

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 5,000,000 - 7,500,000; Full time

Job summary

JP Morgan Services India Pvt Ltd in Bengaluru seeks a Sr Lead Software Engineer with strong Python backend skills to design and deliver secure, scalable, and high-quality microservices-based applications. You will guide teams, drive AI-assisted engineering practices, and contribute to architecture decisions that impact reliability and data performance.

You will work within asset and wealth management engineering, leveraging AWS/Azure/GCP, RESTful APIs, and modern SDLC tools to accelerate

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Experience building microservices-based back-end applications with Python

Responsibilities

• Regularly provides technical guidance to support business and technical teams
• Develops secure, high-quality production code and reviews peers' work
• Drives AI-assisted engineering practices to improve code quality, delivery speed, and operations
• Applies SDLC tooling to improve automation and value realization
• Influences product design, function, and operational processes
• Acts as a function-wide expert in one or more areas of focus
• Contributes to engineering community and firmwide tooling practices
• Investigates and resolves issues promptly to prevent recurrence
• Keeps technologies and patterns current and scalable

Skills

Python

Flask

Django

Microservices

AWS

Azure

GCP

RESTful APIs

WebSockets

JSON

SQL

NoSQL

CI/CD

Agile

Security

AI-assisted development tools

Tools

Docker

Kubernetes

Job description

Sr Lead Software Engineer - Python Backend 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 JPMorganChase within the Asset and Wealth Management, 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

• 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 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.


• Drives decisions that influence the 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


• Promptly investigate and resolve issues, ensuring they do not resurface.


• Continuously update technologies and patterns to keep systems current.


• Design and build solutions that avoid single points of failure using scalable architectural patterns.


• Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.

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., Python, Flask, Django) 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.


• Experience with agile development methodologies (e.g., Scrum) and an understanding of the software development life cycle.


• Understanding of application resiliency


• Proficiency in automation and continuous delivery methods.


• Proficient in all aspects of the Software Development Life Cycle.


• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.


• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).


• 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.


• Ability to tackle design and functionality problems independently with little to no oversight.


• Practical cloud native experience

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.


• Experience in the banking domain.