Senior Python/AI/MLOps Engineer (Databricks & Spark)

JP Morgan Chase; Fairfax (DE); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III specializing in Python, AI, and MLOps to join the Corporate Technology team. You will design and deliver trusted, scalable tech products in a secure environment, collaborating in an agile setting.

You will build Databricks-based ML platform capabilities, productionize models with Python and Spark, modernize ML workflows, and manage infrastructure with Terraform, CloudWatch, and Datadog.

Qualifications

• 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.

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

Skills

Python

Apache Spark

Databricks

AWS

Terraform

CloudWatch

Datadog

AI-assisted tools

Software engineering

Education

Formal training in software engineering

Tools

Databricks

Terraform

Amazon CloudWatch

Datadog

Amazon SageMaker

Apache Spark

Job description

JPMorganChase is seeking a Software Engineer III specializing in Python, AI, and MLOps to join the Corporate Technology team. You will design and deliver trusted, scalable tech products in a secure environment, collaborating in an agile setting.

You will build Databricks-based ML platform capabilities, productionize models with Python and Spark, modernize ML workflows, and manage infrastructure with Terraform, CloudWatch, and Datadog.