Senior Lead Software Engineer - Python, SQL, NoSQL

Posted 5 Days Ago
Be an Early Applicant
Mumbai, Maharashtra, IND
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead modernization of pricing data platforms for fixed income and derivatives. Re-engineer data pipelines, storage, and configurable client delivery across on-premises and AWS environments. Build and support production systems using Python, SQL, and NoSQL; troubleshoot incidents and perform root-cause analysis. Lead engineers, collaborate with senior stakeholders, and promote governed AI-assisted development practices, including secure code review, testing, automation, and validation of AI outputs.
Summary Generated by Built In

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 - Python, SQL, NoSQL at JPMorgan Chase within the Commercial & Investment Bank - Pricing Direct team, you'll 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. 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

  • 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.
 

Skills Required

  • Formal training or certification in software engineering concepts
  • At least 5 years of applied software engineering experience
  • At least 2 years leading technologists in solving complex technical problems
  • 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, maintain, and re-engineer existing tools
  • Proven debugging and problem-solving skills supporting mission-critical data flows
  • Experience leading enterprise-authorized AI-assisted software development tools and validating outputs for correctness, performance, and security
  • Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations
  • Experience coaching senior engineers or leads on compliant AI usage patterns and controls
  • Experience using AI-powered development tools such as Copilot, Claude, or Codex
  • Experience designing hybrid architectures across on-premises environments and AWS
  • Unix and Perl scripting
  • Experience with data pipeline orchestration and optimization, including batch or streaming and configurable data delivery
  • Familiarity with version control, testing, CI/CD, observability, logging, monitoring, and performance tuning
  • Familiarity with fixed income and derivatives products and pricing processes
  • Experience designing, building, and deploying scalable cloud-native applications and services on AWS using modern infrastructure and DevOps practices

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

Gallery

Gallery

Similar Jobs

ZS Logo ZS

User Interface Designer

Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Hybrid
Pune, Maharashtra, IND
15000 Employees
5-7 Annually

Pfizer Logo Pfizer

Area Medical Advisor, Vaccines

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office
Mumbai, Maharashtra, IND
121990 Employees

Pfizer Logo Pfizer

Medical Intern

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office
Mumbai, Maharashtra, IND
121990 Employees

CSC Logo CSC

Database Administrator

Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Remote or Hybrid
2 Locations
8500 Employees

Similar Companies Hiring

Granted Thumbnail
Artificial Intelligence • Healthtech • Insurance • Mobile • Financial Services
New York, New York
23 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account