Software Engineer III - Python/AI/MLOps

JPMorganChase; Wilmington (DE); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorganChase seeks a Software Engineer III - Python/AI/MLOps to join its Corporate Technology team in Wilmington, DE. You will design and deliver secure, scalable software solutions, partnering with model developers to productionize ML models and modernize workflows using Databricks, Spark, and Terraform.

You will contribute to the SDLC with AI-assisted tooling, implement observability, and ensure robust performance across cloud-based data processing tasks in AWS.

Qualifications

• Formal training or certification in software engineering concepts.
• 3+ years of applied software engineering experience.
• Proficiency in Python and Spark for data processing.
• Experience with Databricks, Spark, and ML platforms.
• Familiarity with AI-assisted development tools and secure coding.

Responsibilities

• Executes software solutions and design with scalable, secure approaches.
• Creates secure, high-quality production code and maintains algorithms.
• Leverages AI coding assist tools to improve code quality and speed.
• Designs and builds scalable ML platform capabilities on Databricks.
• Productionizes models with Python and Apache Spark.
• Modernizes ML workflows from SageMaker to Databricks.
• Builds infrastructure as code with Terraform.
• Implements monitoring with CloudWatch and Datadog.

Skills

Python

Spark

Databricks

Terraform

CloudWatch

Education

Formal software engineering training

Tools

Databricks

AWS

CloudWatch

Datadog

Job description

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 - Python/AI/MLOps at JPMorganChase within the Corporate Technology 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.

Job Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown 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.
• Design, build, and support scalable machine learning platform capabilities on Databricks for risk and fraud model implementation
• Partner with model developers and engineers to productionize models using Python and Apache Spark, including data preparation and distributed processing patterns
• Modernize machine learning workflows from Amazon SageMaker to Databricks, improving reliability, speed, and standardization
• Build and maintain infrastructure as code using Terraform to provision and manage cloud resources across environments
• Implement monitoring, alerting, and operational controls using tools such as Amazon CloudWatch and Datadog to improve platform observability
• Tune performance of Databricks and Spark workloads through profiling, optimization, and best practices
• Develop automation scripts and tooling that reduce manual effort and improve operational stability

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Proficiency in Python and experience building data processing workloads with Apache Spark
• Hands-on experience developing on Databricks, including job configuration, libraries, and runtime management
• Experience operating workloads in Amazon Web Services (for example: Amazon EC2, Amazon S3, Amazon EMR, Amazon Lambda)
• Experience provisioning and managing cloud infrastructure using Terraform and automated deployment pipelines
• Experience with monitoring and alerting using tools such as Amazon CloudWatch and Datadog, plus strong communication and collaboration skills
• 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.

Preferred Qualifications, Capabilities, And Skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies

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 professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.