Data Software Engineer III- ML

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

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Data Software Engineer III at JPMorganChase within the Commercial and Investment Bank, you will partner with Data Scientists to create cloud‑based frameworks for hosting and operating models, applying SDLC and MLOps best practices to ensure reliability, security, and performance. You will leverage both internal and public cloud platforms with a mix of proprietary and open‑source tools, collaborating closely with platform developers and engineering communities to integrate and evolve existing and new technologies

Job 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

Required qualifications, capabilities, and skills

• Formal training in software engineering concepts and 3+ years of applied experience
• 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, with the ability to convey design choices and communicate effectively with stakeholders
• Familiarity with Machine Learning Operations (MLOps)
• Experience using AI engineering tools (e.g., GitHub Copilot) for JIRA, documentation, coding, and releases, demonstrating measurable productivity and quality improvements.

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