About this role
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking 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
• Design, develop, and maintain SQL Server databases including schema design, stored procedures, functions, triggers, and views using T-SQL. • Perform database performance tuning, query optimization, index management, and execution plan analysis. • Support database deployment automation across the full lifecycle — onboarding, development, deployments, operations, and maintenance from development to production. • Monitor and manage SQL Agent jobs, ensuring timely execution and alerting on failures • Execute routine database maintenance tasks including backups, integrity checks, index rebuilds, and statistics updates • Create and modify database roles and permissions, ensuring least-privilege access controls • Treat database scripts like application code — writing small logical changesets, testing locally, and including rollbacks as best practice. • Maintain database consistency across environments (Dev, UAT, Production).
• 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 • Contribute to reducing manual DBA deployment requests by driving automation initiatives.
Required qualifications, capabilities, and skills
• Formal training or certification on software engineering concepts and 3+ years applied experience as Database Engineer • Design, develop, and maintain SQL Server databases including schema design, stored procedures, functions, triggers, and views using T-SQL. • Proficient in building and maintaining Databases like SQL server, AWS postgress • Perform database performance tuning, query optimization, index management, and execution plan analysis. • Overall knowledge of the Software Development Life Cycle • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security • Support database deployment automation across the full lifecycle — onboarding, development, deployments, operations, and maintenance from development to production. • Monitor and manage SQL Agent jobs, ensuring timely execution and alerting on failures
• 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
• SQL Server: T-SQL, SSMS, SQL Agent, Query Store, Execution Plans, RDS SQL Server • Database Deployment Tools: Liquibase, AWS CLI, AIM, BuildI, PowerShell modules wrapping JPMC CLI tools • Scripting: PowerShell, Shell scripting • CI/CD & DevOps: Git, CI/CD pipeline integration, version control best practices • Cloud Platforms: AWS (RDS, DynamoDB, S3) • Monitoring & Observability: Database health monitoring, alerting, SRE fundamentals • Exposure to Oracle, PostgreSQL, MySQL, Snowflake, Cassandra, MongoDB, DB2 would be preferred