Sr Lead Software Engineer - Python, SQL, NoSQL

JPMorgan Chase Bank; Mumbai; On-site; INR 5,000,000 - 8,000,000; Full time

Job summary

JPMorgan Chase Bank in Mumbai seeks a Senior Lead Software Engineer focused on Python, SQL, NoSQL to join the Commercial & Investment Bank – Pricing Direct team. You will contribute to building secure, scalable technology products in an agile environment.

Responsibilities include modernizing pricing data processing, designing hybrid on-prem/AWS platforms, optimizing data flows, and leading AI-assisted development practices across teams.

Qualifications

• Strong, current hands-on Python development experience in production systems.
• Relational SQL and NoSQL databases, data modeling, and data structures.
• Formal training or certification in software engineering concepts with 5+ years of experience.
• Experience leading technologists to solve complex items within your domain.
• Experience using enterprise AI-assisted development tools (Copilot, Claude, Codex) and setting team expectations for AI outputs.

Responsibilities

• Re-engineer and modernize the pricing data processing and client-delivery platform for Fixed Income and Derivative pricing.
• Refactor and streamline end-to-end data flows; optimize data and file storage; enable configurable delivery formats.
• Design and implement a strategic platform spanning on-prem and cloud-native AWS services, with focus on scalability, resilience, and security.
• Maintain and enhance existing pricing data pipelines to improve reliability, performance, and supportability.
• Provide application support to business and client-support teams, including troubleshooting and root-cause analysis.
• Represent the function in cross-functional forums and collaborate with senior stakeholders.
• Drive adoption and governance of approved AI-assisted engineering practices across teams with measurable validation standards.
• Apply knowledge of SDLC tools and AI-assisted capabilities to improve automation and delivery quality.

Skills

Python

SQL

NoSQL

AI-assisted tooling

Technical leadership

Software engineering

Data modeling

On-prem & AWS

Tools

Unix

Perl

Job description

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 - Python, SQL, NoSQL at JPMorgan Chase within the Commercial & Investment Bank - Pricing Direct team, youll be 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.

Job responsibilities

• Re-engineer and modernize the pricing data processing and client-delivery platform for Fixed Income and Derivative pricing using contemporary development and data pipeline practices.
• Refactor and streamline end-to-end data flows; optimize data and file storage; enable configurable delivery formats for diverse client needs.
• Design and implement a strategic platform spanning on-prem and cloud-native AWS services, with a focus on scalability, resilience, and security.
• Maintain and enhance existing pricing data pipelines to improve reliability, performance, and supportability.
• Provide application support to business and client-support teams, including troubleshooting, incident resolution, and root-cause analysis.
• Represent the function in cross functional forums and collaborate with senior stakeholders.
• Drive 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.
• Apply 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• Strong, current hands-on Python development experience building and supporting production systems.
• Solid understanding of relational SQL and NoSQL databases, data modeling, and data structures.
• Ability to analyze and maintain and re-engineer existing tools
• Proven debugging and problem-solving skills; comfort supporting mission-critical data flows.
• 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.
• Leverage AI-powered development tools (Copilot, Claude, Codex) to accelerate code generation, review, testing and delivery across the software lifecycle
• Experience designing hybrid architectures across on-prem and AWS

Preferred qualifications, capabilities, and skills

• Unix and Perl scripting
• Background in data pipeline orchestration and optimization (batch or streaming), and configurable data delivery.
• Familiarity with software engineering best practices (version control, testing, CI/CD), observability (logging/monitoring), and performance tuning.
• Familiarity with Fixed Income and derivatives products and pricing processes (curve construction, instrument conventions, valuation metrics).
• Design, build, and deploy scalable cloud-native applications and services on AWS using modern infrastructure and DevOps practices.