Lead Software Engineer - Python, AWS, Data, Agentic AI

JPMorgan Chase & Co.; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorganChase in Houston is seeking a Lead Software Engineer to join the Corporate Sector and contribute as a core technical expert on scalable, secure technology platforms.

You will drive development of high-quality production code, lead architecture discussions, and foster a culture of inclusion and collaboration across teams.

Qualifications

• Formal training or certification on Software Engineering and application development and 7+ years applied experience.

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

Skills

Python

Java

AWS

LLMs

Databricks

JavaScript

React

CI/CD

Agile

System design

Education

Formal training in Software Engineering

Tools

Databricks

Snowflake

Airflow

AWS

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 at JPMorganChase within the Corporate Sector, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job 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, 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, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on Software Engineering and application development and 7+ years applied experience
• Strong hands-on expertise inPython and/or Javawith demonstrated delivery of secure, high-quality production code
• Strong experience building cloud-native solutions onAWS(compute, storage, security/IAM, networking, observability)
• Strong experience withLLMs and agentic systems, including orchestration patterns, tool/function calling, retrieval, structured outputs, evaluations, and safety/guardrails
• Experience building data-intensive applications and workflows usingDatabricks(Spark, Delta, jobs/workflows)
• Proficiency inJavaScript/TypeScript and Reactfor building modern web applications
• Proficiency in automation and continuous delivery methods; strong SDLC discipline (CI/CD, testing, code quality, release controls)
• Advanced understanding of agile delivery, application resiliency, and secure engineering practices
• Strong system design skills with the ability to make pragmatic trade-offs and drive alignment across stakeholders

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies - AWS EC2, EKS, RDS, S3, Lambdas, EMR, Glue, S3
• Big Data Technologies such as PySpark, Hadoop, Databricks, ETL, Snowflake
• Proven experience in designing and building data pipelines (ETL/ELT) using modern technologies (e.g., Python, SQL, Spark, Airflow, etc.)