Lead Software Engineer - Python, Data, Cloud

JPMorganChase; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JPMorgan Chase in Bengaluru is seeking a Lead Software Engineer to accelerate building a scalable cloud-native data platform and data products for the Markets Research Technology team.

You will lead the design and delivery of secure, robust software, mentor junior engineers, and drive AI-assisted engineering practices in an agile environment across multiple data domains.

Qualifications

• 5+ years of software engineering experience with cloud-native data platforms.
• Experience delivering APIs and backend services.
• Proven leadership in AI-assisted engineering practices and code validation.
• Strong system design, microservices, and data-intensive applications expertise.
• Experience with cloud services and infrastructure as code (IaC).
• Familiarity with AWS services (Glue, S3, Athena, Redshift, Snowflake).

Responsibilities

• Provide technical guidance to business teams, contractors, and vendors.
• Develop secure, high-quality production code and review others' code.
• Lead AI-assisted development adoption, testing strategies, and secure coding standards.
• Leverage SDLC tools to improve automation and value realization.
• Drive product design decisions and ensure architectural alignment.
• Build end-to-end data pipelines and migrate data products to cloud-native platforms.
• Mentor junior engineers and foster learning with a can-do attitude.

Skills

Python/Java

API development

Microservices

Cloud data platforms

AI-assisted development

Security best practices

Team leadership

Education

Engineering degree or equivalent

Tools

AWS

CI/CD tools

Docker/Kubernetes

ETL tools

Snowflake

Job description

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

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 a core data platform, data products and data-intensive applications to advance the Research Technology business and client intelligence agenda.

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 team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• 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
• 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/Java, and experience developing APIs and Backend services
• Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
• 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 and technologies (e.g., ETL, Glue, S3, Athena, Redshift, Snowflake)
• 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
• Practical experience with Snowflake or Databricks
• 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

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