Software Engineer III - Database

JPMorgan Chase JPMorgan Chase · Banking · Plano, TX +1 · Consumer & Community Banking

Software Engineer III at JPMorgan Chase focused on database modernization and optimization. The role involves contributing to database administration, development, migration, and modernization planning. A key aspect is leveraging and understanding the use of enterprise-authorized AI coding assist tools within the software development lifecycle, including validating outputs and understanding responsible AI use. The role also includes mentoring and contributing to training materials.

What you'd actually do

  1. Contribute as database administration and development expert, working with application development teams to develop, execute and support database modernization/optimization/migration activities.
  2. Provide modernization support to application development (AD) teams through the analysis, migration, and post migration efforts for their database footprints.
  3. Partner with PaaS, DBaaS, and Cloud Delivery teams to resolve issues and influence implementation of self service capabilities to support the AD teams.
  4. Contribute to development of database modernization patterns.
  5. Contribute to tactical and strategic database modernization planning.

Skills

Required

  • Formal training or certification on software engineering concepts
  • 3+ years as database administrator/engineer
  • Experience database development and configuration
  • Demonstrable database design and architecture experience
  • Demonstrable experience performing database upgrades and migrations
  • Experience with AWS and associated database services
  • Experience supporting databases in DevOps
  • Experience supporting/integrating DDL and DML with CI/CD tools (Jenkins, GIT/Bit Bucket, etc…)
  • 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.
  • Must be able to self-motivate to support delivery whether individually or as part of a team.

Nice to have

  • Direct experience with PostgreSQL, CockroachDB, and Cassandra databases.
  • Application programming experience with Java and/or Python.
  • Experience working in/with teams performing Agile software development.
  • Strong desire to master emerging technologies and share experience with other team members.
  • Experience supporting teams in upskilling database development and support competencies.
  • Excellent written and verbal communication skills.

What the JD emphasized

  • 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.
  • 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.