Software Engineer III

JOB DESCRIPTION

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

ABOUT US