Lead Software Engineer - Python, Data, AWS

Posted 7 Days Ago
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Bengaluru, Karnataka
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
As a Lead Software Engineer, you will design and deliver cloud-native data solutions, focusing on data modernization projects, mentoring junior team members, and ensuring production-grade application development. Responsibilities include architecture design, coding, developing data pipelines, and providing technical guidance.
Summary Generated by Built In

Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology Team, your role will be pivotal in an agile team, tasked with the design and delivery of secure, robust, and cutting-edge technology products. You will be instrumental in implementing vital technology solutions across a range of technical domains and business functions to further the firm's business goals. Your contributions will be part of a high-profile data modernization project, where your duty will be to build a scalable cloud-native data platform in accordance with strategic modern data practices. Your responsibilities will also encompass the development of data products and data-intensive applications to bolster the Research Technology client intelligence agenda. This role provides an opportunity for hands-on technical experience and may also include managerial responsibilities.
Job responsibilities

  • 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 decisions that influence the product design, application functionality, and technical operations and processes
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Builds end-to-end modern data pipelines and solutions, migrating data products to cloud-native platforms
  • Designs and implements data engineering solutions, leveraging cloud-native data technologies and aligning with modern data architecture strategies
  • Designs and implements hands-on solutions while providing technical leadership and mentorship to more junior team members
  • Adds to team culture of diversity, equity, inclusion, and respect
  • Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude


Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering large-scale cloud-native data platforms
  • Proficient in system design, application development, testing, and operational stability
  • Advanced experience in one or more programming language(s) - Python
  • Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications
  • Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies
  • Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments
  • Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena, RedShift), PySpark
  • Experience developing APIs and Backend services
  • Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds


Preferred qualifications, capabilities, and skills

  • Experience with data and application migration to AWS in commercial settings
  • Familiarity with data quality, observability and lineage tooling
  • Experience developing APIs and Backend services
  • Experience collaborating with data analysts, reporting teams or business analysts
  • Familiarity with modern Business Intelligence and reporting tools

Top Skills

Python

What the Team is Saying

Nick S.
Lupe C.
Edwin T.
Dawn T.
Meng M.
The Company
HQ: New York, NY
289,097 Employees
Hybrid Workplace
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.

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