Software Engineer III - Databricks

JPMorgan Chase & Co.; United States; On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III to contribute to design, development, and delivery of scalable software supporting critical operations. You will work in a collaborative team, applying your technical expertise to solve complex problems while growing across the full lifecycle.

You will design and implement high-quality solutions, participate in code reviews, and support CI/CD pipelines to improve deployment reliability.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Proficiency in Java, Python, or equivalent.
• Experience with design patterns, data structures, and algorithms.
• Hands-on experience with Git.
• Familiarity with cloud platforms and distributed systems.
• Ability to write and maintain automated unit/integration tests.
• Strong problem-solving and debugging skills.
• Effective communication across teams.
• Experience with AI-assisted development tools within the work environment.

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 to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards

Skills

Java

Python

Software design patterns

Git

Cloud platforms

CI/CD

AI-assisted tooling

Agile/Scrum

Problem solving

Communication

Job description

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.

Job 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

Required qualifications, capabilities, and skills

• 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

Preferred qualifications, capabilities, and skills

• 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