Software Engineer III - Databricks

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

As a Software Engineer III - Databricks at JPMorgan Chase within the Corporate Sector's Enterprise 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


* 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 (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

Required qualifications, capabilities, and skills


* 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, including cluster configuration and optimization


* Cloud engineering experience building ML pipelines and deploying models to production with AWS services such as EC...