Databricks ML Engineer III: Cloud & MLOps

JPMorganChase; Wilmington (DE); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase is seeking a Software Engineer III - Databricks to join the Enterprise Technology team in the Corporate Sector. You will design and deliver trusted technology products in a secure, scalable way and lead multi-domain solutions across the SDLC.

You will build data pipelines, productionize ML workflows, and mentor engineers while promoting secure coding standards and CI/CD practices. This role emphasizes responsible AI use and collaboration with Data Science and SRE teams.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on experience in software engineering, system design, application development, testing, and operational stability
• Proficiency in Python; strong grounding in secure data practices
• Hands-on Databricks experience across Delta Lake, Unity Catalog, Workflows, Repos/notebooks, and SQL Warehouses
• Cloud engineering experience building ML pipelines and deploying models to production with AWS services such as ECS, EMR, Lambda, EC2, SageMaker
• Experience with PySpark, Kafka, Terraform, and Kubernetes for data processing, streaming, IaC, and container orchestration
• Database experience with Oracle and/or Cassandra
• Familiarity with CI/CD, application resiliency, security best practices, Agile/Scrum methodologies, and SDLC automation tools
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Responsibilities

• Provides technical leadership across design, development, and troubleshooting for complex, multi-domain solutions; establish engineering standards and best practices for the team
• Writes secure, high-quality code in Python and/or Java; conducts reviews and mentors engineers to raise code quality and maintainability
• Builds data pipelines using Databricks ETL
• Builds and productionizes cloud-based ML pipelines; drive model deployment and operationalization in collaboration with Data Science and SRE/Platform teams
• Owns MLOps workflows; coordinates infrastructure and production changes with SRE; ensures resiliency, observability, and security across the ML lifecycle
• Applies SDLC tooling and automation to improve delivery velocity and reliability; champion CI/CD and cloud-native best practices
• Partners with Product Owners and business stakeholders to translate requirements into scalable solutions aligned to CCB Finance objectives
• Fosters a team culture of diversity, opportunity, inclusion, and respect; model proactive learning in AI/ML and emerging technologies
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities

Skills

Python

Databricks

Cloud AWS

PySpark

Kafka

Terraform

Kubernetes

CI/CD

Secure data practices

Agile/Scrum

Tools

Delta Lake

Unity Catalog

Workflows

Repos/notebooks

SQL Warehouses

AWS ECS

EMR

Lambda

EC2

SageMaker

Job description

JPMorgan Chase is seeking a Software Engineer III - Databricks to join the Enterprise Technology team in the Corporate Sector. You will design and deliver trusted technology products in a secure, scalable way and lead multi-domain solutions across the SDLC.

You will build data pipelines, productionize ML workflows, and mentor engineers while promoting secure coding standards and CI/CD practices. This role emphasizes responsible AI use and collaboration with Data Science and SRE teams.