Lead Software Engineer - Python, AWS, Big Data

JPMorganChase; Wilmington (DE); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase in Wilmington, DE is seeking a Lead Software Engineer—Python, AWS, Big Data to design and deliver secure, scalable data pipelines and analytics solutions. You will guide an agile team, develop production-grade data processing, and push for responsible AI-driven engineering practices.

The role emphasizes end-to-end data pipeline development, cloud services (AWS), and implementing resilient architectures across diverse domains in Corporate Technology.

Qualifications

• Formal training or certification on Software Engineering concepts and 5+ years applied experience.
• Experience on Bigdata, Data platforms and Data Engineering concepts.
• Hands-on design, 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, with a strong understanding of responsible AI use in engineering workflows.
• Ability to tackle design and functionality problems independently with little to no oversight.
• Training in Generative AI solutions like NLP & LLM Models.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations.

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 automate remediation of recurring issues to improve operational stability of software applications and systems
• Leads evaluation sessions with external vendors and internal teams to drive outcomes-oriented probing of architectural designs
• Adds to team culture of diversity, opportunity, inclusion, and respect
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and outcomes
• Applies knowledge of tools within the SDLC toolchain, including enterprise-authorized AI-assisted development and automation capabilities

Skills

Python

AWS

Big Data

Data Pipelines

Spark

Terraform

AI tooling

Team leadership

Secure coding

ML/Generative AI

Tools

Git

CI/CD

Job description

Job Description

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

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

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.