Senior Data Software Engineer

JPMorgan Chase & Co.•Houston, TX

About The Position

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Senior Data Software Engineer at JPMorganChase within the Commercial and Investment Bank, 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.

Requirements

Formal training in software engineering concepts and 5+ years of applied experience
Extensive experience building and operating AWS/public cloud–based applications
Strong Python (Pyspark) programming skills
Proven hands‑on delivery across system design, application development, testing, and operational stability.
Proficiency in automation, CI/CD, and all aspects of the SDLC
Experience with pipelines and DAGs for data processing and/or machine learning
Demonstrated proficiency in cloud and AI/ML software practices
Experience driving adoption of AI engineering tools (e.g., GitHub Copilot) for JIRA, documentation, coding, and releases, with measurable productivity and quality gains

Nice To Haves

AWS (hands-on): Glue, EventBridge, Step Functions, Lambda, ECS, EKS, Kinesis, CloudWatch
Outside AWS: Python, Terraform, TigerGraph, graph databases, GitHub Copilot, Airflow, Kubernetes
JPMC platforms/tools (highly preferred): Jules/JET, GKP (Gaia Kubernetes), Fusion MLOps

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