Data Software Engineer III: ML, Cloud & MLOps

Testing Site - JPMC; Houston (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

JPMorganChase in Houston seeks a Data Software Engineer III to partner with Data Scientists, building cloud-based frameworks for hosting and operating models. You will apply SDLC and MLOps best practices to ensure reliability, security, and performance across internal and public cloud platforms.

You will develop secure, high-quality Python applications on AWS, contribute to architecture, review designs, and integrate AI/ML into complex processing systems.

Qualifications

• Formal training in software engineering concepts.
• Hands-on Python application development experience.
• Proven experience developing, debugging, and maintaining production applications.
• Solid understanding of software development best practices including version control, testing, and CI/CD.
• Strong problem-solving, communication, and collaboration skills.
• Familiarity with Machine Learning Operations (MLOps).
• Experience using AI engineering tools for productivity improvements.

Responsibilities

• Develop and maintain secure, high-quality applications using Python and AWS
• Produce architecture and design deliverables; contribute to solution design and reviews
• Integrate AI/ML solutions into complex, domain-specific processing systems
• Participate in code reviews, design discussions, and agile planning ceremonies
• Collaborate with SRE and monitoring teams to ensure reliability, performance, and observability
• Contribute to engineering communities of practice and technology events
• Embrace continuous learning and creative problem-solving with a can-do mindset

Skills

Python

CI/CD

Problem-solving

Communication

Collaboration

MLOps

GitHub Copilot

Education

Formal training in software engineering concepts

Tools

GitHub Copilot

AWS

Terraform

Kubernetes

JPMC tools: Jules/JET

Job description

JPMorganChase in Houston seeks a Data Software Engineer III to partner with Data Scientists, building cloud-based frameworks for hosting and operating models. You will apply SDLC and MLOps best practices to ensure reliability, security, and performance across internal and public cloud platforms.

You will develop secure, high-quality Python applications on AWS, contribute to architecture, review designs, and integrate AI/ML into complex processing systems.