Lead Software Engineer: AI-Driven Data & Cloud Solutions

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX seeks a Lead Software Engineer to drive technical strategy and hands-on development across data pipelines, AI-assisted tooling, and secure, scalable software solutions.

You will mentor junior engineers while delivering production-grade code and aligning with enterprise SDLC standards. The role emphasizes cloud-native design on AWS (ECS, Lambda, API Gateway), data sharing with Snowflake, and CI/CD discipline within an agile team to advance risk technology

Qualifications

• Formal training or certification in software/data engineering concepts and 5+ years applied experience.
• Hands-on experience with system design, application development, testing, operational stability and statistical data analysis.
• Advanced in one or more programming language(s) and framework(s) (i.e., Python 3, ETL, Spark, Snowflake, Databricks, SQL, NoSQL, Terraform-based infrastructure deployments, etc.).
• Significant experience with data migration and platform migration for data projects, including planning, execution, and post-migration support.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, Security, and proficient in all aspects of the Software Development Life Cycle
• Demonstrate experience leading effective use of approved AI-assisted software development tools 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
• Demonstrated experience in API-driven development, particularly using fast API on AWS ECS with API Gateway integration, and running APIs from AWS Lambda
• Proficient with deployment pipelines such as Git, Julies, Jenkins, and Spinnaker along with strong skills in building test scripts, and using True CD for codeing and testing.
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Practical cloud native experience (i.e., active knowledge of AWS functions - ECS, Lambda, API Gateway, and other general services)

Responsibilities

• 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 using the syntax of at least one programming language with limited guidance in maintaining efficient algorithms that integrate seamlessly with relevant systems
• 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
• Implements and manages data solutions using Snowflake, including data modeling, performance tuning, and secure data sharing
• Develops workflows and ETL pipelines using Python, Databricks and Spark to optimize data processing and transformation at scale
• Frequently utilizes SQL with understanding the role of NoSQL databases in the marketplace, and applies Spark for distributed data processing and analytics
• Gathers, analyzes, and synthesizes large diverse data sets to develop visualizations and reporting that drives continuous improvement of software applications and systems
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Adds to team culture of diversity, opportunity, inclusion and respect, as a lead on the team - driving projects independently and providing technical and architectural guidance with junior engineers

Skills

5+ years experience

Python

Spark

Snowflake

Databricks

SQL

NoSQL

Terraform

CI/CD

AI-assisted tools

Cloud security

API development

AWS ECS

Lambda

API Gateway

Education

Software / Data Engineering training

Tools

Git

Jenkins

Spinnaker

Julies

Job description

JPMorgan Chase & Co. in Plano, TX seeks a Lead Software Engineer to drive technical strategy and hands-on development across data pipelines, AI-assisted tooling, and secure, scalable software solutions.

You will mentor junior engineers while delivering production-grade code and aligning with enterprise SDLC standards. The role emphasizes cloud-native design on AWS (ECS, Lambda, API Gateway), data sharing with Snowflake, and CI/CD discipline within an agile team to advance risk technology