Software Engineer III - Python/AI/MLOps

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 ...