Software Engineer III - Python/AWS/AI

JPMorgan Chase; Plano (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III in Houston, TX to advance cloud-based ML solutions using Python and AWS. You will work within the Commercial & Investment Bank - Data Analytics team on scalable, secure software that supports the firm’s objectives.

You will collaborate with data scientists to host models in the cloud, apply ML tooling, and ensure SDLC standards. The role emphasizes production-ready code, performance, security, and continuous learning in a fast-moving financial

Qualifications

• Formal training or certification in software engineering concepts and 3+ years applied experience
• Hands-on design, development, testing, and operational stability experience
• Proven Python application development experience
• Experience using AI-assisted development tools with evaluation of outputs for correctness, performance and security
• Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs
• Experience in developing and maintaining code in a large corporate environment with modern languages and DB querying

Responsibilities

• Executes software solutions, design, development, and troubleshooting with ability to handle complex problems
• Creates secure, high-quality production code and maintains algorithms
• Uses enterprise AI tools to improve code quality, delivery speed, and productivity with peer review and testing
• Applies SDLC tooling to improve automation and value
• Develops and maintains Python applications on AWS
• Produces architecture and design artifacts for complex applications
• Gathers and visualizes data for continuous improvement
• Identifies patterns in data to drive architectural improvements
• Integrates AIML solutions into domain-specific operations
• Contributes to engineering communities and events
• Embraces continuous learning and problem-solving

Skills

Python

AWS

AI/ML

CI/CD

Security

Tools

Kubernetes

Docker

SageMaker

PostgreSQL

Job description

Software Engineer III - Python/AWS/AI

Houston, TX, United States

Job Information

• Job Identification 210769609

• Job Category Software Engineering

• Business Unit Corporate Sector

• Posting Date 09/14/2026, 07:53 PM

• Locations 8181 Communications Pkwy Ste C, Plano, TX, 75024, US

• Job Schedule Full time

Job Description

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

As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank - Data Analytics team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open-source tools to ensure models meet SDLC standards, are production-ready, and can be deployed efficiently. The position requires close interaction with platform developers, engineering communities, and the integration of existing and new technologies and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will collaborate with the Applied AI/ML group and technology teams across the firm, contributing to both new and ongoing projects.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.

• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

• Develop and maintain high-quality, secure applications using Python and AWS

• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

• Integrate AIML solutions into complex, domain-specific operations processing systems

• Contribute to software engineering communities of practice and technology events

• Embrace continuous learning, creative problem-solving, and a can-do attitude

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience

• Hands‑on practical experience in system design, application development, testing, and operational stability

• Proven hands‑on experience in Python application development

• Hands‑on experience using enterprise‑authorized AI‑assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI‑generated outputs for correctness, performance, and security.

• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

• Participate in code reviews, design discussions, and agile planning sessions

• Collaborate with SRE and production monitoring teams to ensure system reliability and performance

• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

• 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)

Preferred qualifications, capabilities, and skills

• Experience with Cloud services, Infrastructure as Code (IaC) and containerized application development

• Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock

• Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps)

• Experience working on AIML systems and/or prior experience collaborating with data scientists

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the Team

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.