Software Engineer III - Database

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