Sr Lead Software Engineer - Python Backend

JPMorgan Chase Bank; Bengaluru; In loco; INR 3.500.000 - 7.000.000; Tempo pieno

Descrizione del lavoro

JPMorgan Chase Bank in Bengaluru is seeking an experienced Senior Lead Software Engineer to drive secure, scalable, AI-enabled software delivery within Asset and Wealth Management. You will guide teams, shape architecture, and raise engineering standards.

You will implement AI-assisted development practices, build microservices with Python frameworks, and ensure resilience and performance across cloud platforms. Strong collaboration with business and tech stakeholders required.

Competenze

• 5+ years of software engineering experience required.
• Proficiency in Python, Flask, Django; front-end tech as needed for full-stack roles.
• Experience with cloud platforms (AWS, Azure, GCP) and RESTful APIs.
• Strong understanding of CI/CD, security, and application resiliency.

Mansioni

• Provides technical guidance to business teams, contractors, and vendors.
• Develops secure, high-quality production code and reviews code written by others.
• Drives AI-assisted engineering practices to improve code quality, speed, and operations with validated standards.
• Applies SDLC tooling knowledge to enhance automation and value realization.
• Shifts design, functionality, and operations decisions to improve product and system resilience.
• Acts as subject matter expert in one or more focus areas across the organization.
• Contributes to engineering community and promotes firmwide frameworks and practices.
• Investigates and resolves issues promptly to prevent recurrence.
• Keeps technologies and patterns up to date to avoid single points of failure.
• Designs scalable, secure solutions enabling zero-downtime releases and data performance.

Conoscenze

Problem solving

Analytical thinking

Communication

Stakeholder management

Strumenti

Python

Flask

Django

HTML

CSS

JavaScript

TypeScript

React

Angular

AWS

Azure

GCP

RESTful APIs

WebSockets

JSON

SQL

NoSQL

CI/CD

Cloud-native

AI-assisted tooling

Descrizione del lavoro

Be an integral part of an agile team thats 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.