Software Engineer III - Databricks

JPMorgan Chase & Co.•Columbus, OH

About The Position

Join a team where your engineering skills directly shape the technology powering millions of customers and businesses worldwide. At JPMorganChase, we invest in our engineers, offering the tools, mentorship, and scale to help you grow from a strong individual contributor into a well-rounded technologist. As a Software Engineer III at JPMorganChase, you will contribute to the design, development, and delivery of scalable software solutions that support critical business operations. You will work within a collaborative engineering team, applying your technical expertise to solve complex problems while growing your skills across the full software development lifecycle. Your work will directly impact the reliability, performance, and innovation of systems used by clients and colleagues across the firm.

Requirements

Formal training or certification on software engineering concepts and 3+ years applied experience
Proficiency in one or more programming languages such as Java, Python, or equivalent
Experience with software design patterns, data structures, and algorithms
Hands-on experience with version control systems such as Git
Familiarity with cloud platforms and distributed systems concepts
Ability to write and maintain automated unit and integration tests
Strong problem-solving skills with the ability to debug and resolve complex technical issues
Effective communication skills with the ability to collaborate across technical and non-technical teams
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

Nice To Haves

Experience working in an agile or scrum delivery environment
Exposure to containerization and orchestration technologies such as Docker or Kubernetes
Familiarity with CI/CD tooling and DevOps practices
Experience with relational or NoSQL databases and query optimization
Knowledge of financial services technology or regulated industry environments

Responsibilities

Design and develop high-quality, scalable software solutions aligned with business and technical requirements
Contribute to all phases of the software development lifecycle, including design, coding, testing, and deployment
Collaborate with cross-functional teams including product, architecture, and operations to deliver end-to-end solutions
Identify and resolve technical issues, performing root cause analysis to prevent recurrence
Write clean, maintainable code and participate in peer code reviews to uphold engineering standards
Support continuous integration and continuous delivery pipelines to improve deployment frequency and reliability
Contribute to technical documentation, ensuring clarity and accuracy for internal and external stakeholders
Participate in agile ceremonies, providing input on sprint planning, estimation, and retrospectives
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