Senior Data Software Engineer

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

As a Senior Data Software Engineer at JPMorganChase within the Commercial and Investment Bank youare 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 firms 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 in software engineering concepts and 5 years of applied experience
• Extensive experience building and operating AWS/public cloudbased applications
• Strong Python (Pyspark) programming skills
• Proven handson 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

Preferred qualifications capabilities and skills

• 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