Software Engineer III - DBA, AWS, Aurora PostgreSQL

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Cloud Database Administrator at JPMorgan Chase within Consumer & Community Banking Technology, you will support the administration, engineering, and operational stability of cloud database platforms. You will help design, implement, monitor, and optimize highly available database environments across technologies including Cassandra, CockroachDB, Oracle, Aurora PostgreSQL, and DynamoDB. You will partner with application teams, architects, information architects, and database designers to deliver secure, resilient, and scalable database solutions that meet service level agreements, reduce operational risk, and improve customer experience.

Job Responsibilities

• Administer highly available and scalable cloud database environments across Cassandra, CockroachDB, Oracle, Aurora PostgreSQL, and DynamoDB.
• Design database solutions that support application resiliency, performance, security, and operational stability requirements.
• Implement physical data models, database designs, data access patterns, and table maintenance routines aligned to application needs.
• Maintain high availability capabilities through data partitioning, replication, backup, recovery, and failover practices.
• Resolve database performance, capacity, replication, and data integrity issues through structured troubleshooting and root cause analysis.
• Monitor database health, service levels, alerts, and operational trends to identify risks before they impact production stability.
• Optimize database performance using tuning practices, monitoring insights, automation opportunities, and capacity management techniques.
• Execute database upgrades, migrations, patching, and configuration changes with disciplined change management and risk controls.
• Collaborate with application architects, information architects, database designers, and engineering teams to select and implement fit-for-purpose database platforms.
• 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.