Lead Software Engineer - Python, AWS, Big Data

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. invites applications for a Lead Software Engineer-Python, AWS, Big Data within the Corporate Technology-Digital Workflows team.

You will design and deliver data collection, storage, access, and analytics solutions that are secure, scalable, and reliable across diverse business functions. You will lead the development and maintenance of data pipelines, review code, and mentor engineers while advancing AI-assisted development practices to improve quality and speed of delivery

Qualifications

• Formal training or certification on Software Engineering concepts.
• 5+ years of applied experience in software engineering and data systems.
• Experience with Big Data, data platforms, and data engineering.
• Hands-on experience delivering system design, development, testing, and operations.
• Programming in Python, FAST API, Spark.
• Experience with AWS services (Lambda, Glue, Step Functions, ECS) and Terraform.
• Experience leading AI-assisted development tools and responsible AI practices.
• Ability to work independently with minimal oversight.
• Training in Generative AI solutions like NLP/LLM models.
• Experience implementing AI in engineering workflows and safe adoption.

Responsibilities

• Build data processing pipelines and deploy applications to production.
• Develop creative software solutions and troubleshoot complex problems.
• Develop secure, production-grade code and perform code reviews.
• Improve operational stability by automating remediation of recurring issues.
• Foster a diverse, inclusive team culture and collaboration.
• Promote enterprise AI-assisted engineering practices for better quality and speed.
• Utilize SDLC tools to enhance automation and delivery.

Skills

Python

AWS

Spark

Big Data

Data Engineering

FAST API

AI-assisted development

Generative AI

NLP/LLM

Security best practices

Education

Formal training in Software Engineering

Cloud certifications (AWS)

Tools

Snowflake

AWS Lambda

AWS Glue

AWS Step Functions

AWS ECS

Terraform

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer-Python, AWS, Big Data at JPMorgan Chase within the Corporate Technology-Digital Workflows team, you will be a seasoned member of an agile team, tasked with designing and delivering reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. Your responsibilities will include developing, testing, and maintaining essential data pipelines and architectures across diverse technical areas, supporting various business functions to achieve the firm's business objectives.

Job responsibilities

• Builds data processing pipeline and deploys applications in production
• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  Leads evaluation sessions with external vendors and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Adds to team culture of diversity, opportunity, inclusion, and respect
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on Software Engineering concepts and 5+ years applied experience
• Experience on Bigdata, Data platforms and Data Engineering concepts
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• End to end understanding and hands on experience with Developing Data Pipeline Processes
• Programming experience in Python, FAST API, Spark
• Technically competent in various AWS Services – Lambda, Glue, Step Function, ECS, AWS Infrastructure provisioning through Terraform
• Demonstrated experience leading the effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting), with a strong understanding of responsible AI use in engineering workflows—including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security standards. Skilled at setting team expectations for validating AI outputs and coaching engineers on safe, compliant adoption within delivery practices.
• Ability to tackle design and functionality problems independently with little to no oversight
• Training in Generative AI solutions like NLP & LLM Models
• 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

Preferred qualifications, capabilities, and skills

• Training and Work experience in implementation of Generative AI solutions like NLP solutions involving – LLM Models, RAG, Prompt Engineering, AWS Bedrock
• Previous experience with Snowflake