Software Engineer III – ML Pipelines(Python, Pyspark , AWS)

JPMorgan Chase & Co.; Plano (TX); Presencial; USD 140.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Retirement plan

Tuition reimbursement

Mental health support

On-site wellness centers

Descripción de la vacante

JPMorgan Chase & Co. is hiring a Software Engineer to design and maintain platform components for end-to-end ML model lifecycles. You will build data pipelines and cloud-native infrastructure on AWS to support training and serving workloads.

You will also automate deployment, monitor health, and drive adoption of AI-assisted engineering practices across the team, ensuring secure, scalable, and efficient delivery.

Formación

• Formal training or certification in software engineering and 3 years of applied experience.
• Hands-on experience building and maintaining production data or ML pipelines.
• Experience using AI-assisted software development tools with validation of AI outputs.
• Strong understanding of responsible AI in engineering workflows and security.
• Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn).
• Working knowledge of AWS and cloud-native development patterns.
• Experience with Big Data processing frameworks (Spark).
• Practical experience with infrastructure-as-code (Terraform).
• Ability to work independently with moderate oversight.

Responsabilidades

• Design, build, and maintain platform components that support end-to-end ML model lifecycle from development to monitoring.
• Develop and maintain data and feature pipelines fed to ML models in production.
• Build and manage cloud-based infra on AWS (Databricks, EMR, ECS, S3) to support training and serving workloads.
• Automate model deployment, testing, and release processes within the SDLC/MLOps toolchain.
• Support migration of legacy ML workloads to cloud-native, scalable platforms with zero downtime.
• Monitor platform health and model serving infra; resolve performance and stability issues.
• Apply AI-assisted development tools to improve code quality and delivery speed.
• Drive team adoption of enterprise AI-assisted engineering practices with consistent validation standards.
• Use SDLC tools and automation capabilities to improve value realized by automation.
• Collaborate with data scientists and model developers to translate requirements into platform capabilities.
• Contribute to a team culture of diversity, inclusion, and continuous improvement.

Conocimientos

Software engineering

Python

AWS

ML pipelines

Databricks

Spark

Terraform

AI-assisted tools

Cloud-native development

CI/CD and SDLC

Educación

Software engineering cert

Herramientas

Databricks

Docker

Kubernetes

ECS

S3

Terraform

EMR

Descripción del empleo

Job Description

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

Job Responsibilities

• Design, build, and maintain platform components that support end-to-end ML model lifecycle — from development and training to deployment and monitoring


• Develop and maintain data and feature pipelines that feed ML models in production


• Build and manage cloud-based infrastructure on AWS (including Databricks, EMR, ECS, and S3) to support model training and serving workloads


• Automate model deployment, testing, and release processes within the SDLC/MLOps toolchain


• Support migration of legacy ML workloads to cloud-native, scalable platforms with zero downtime


• Monitor platform health and model serving infrastructure; identify and resolve performance and stability issues


• Apply AI-assisted development tools and best practices to improve code quality and delivery speed


• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.


• 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.


• Collaborate with data scientists and model developers to understand requirements and translate them into reliable platform capabilities


• Contribute to a team culture of diversity, inclusion, and continuous improvement

Required Qualifications, Capabilities, And Skills

• Formal training or certification in software engineering and 3 years of applied experience


• Hands-on experience building and maintaining production data or ML pipelines


• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.


• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices


• Proficiency in Python and experience with ML libraries and frameworks (Pandas, NumPy, Scikit-learn, etc.)


• Working knowledge of cloud platforms, particularly AWS, and cloud-native development patterns


• Experience with Big Data processing frameworks (Spark preferred)


• Practical experience with infrastructure-as-code and deployment automation (Terraform preferred)


• Ability to work independently on platform problems with moderate oversight

Preferred Qualifications, Capabilities, And Skills

• Experience with Databricks for model training and data pipeline development


• Familiarity with MLOps practices — model versioning, experiment tracking, feature stores, and model monitoring


• AWS certifications (e.g., Solutions Architect Associate)


• Exposure to RAG architectures or GenAI/LLM integration patterns


• Knowledge of container-based deployment (Docker, ECS, or Kubernetes)


• Interest in AI-assisted engineering tools and automation within the SDLC

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 for more information about requesting an accommodation.

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

About The Team

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.