Senior SQL Platform Engineer - Cloud & AI

JPMorganChase

Columbus (OH)

On-site

USD 110,000 - 150,000

Full time

5 days ago
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Job summary

JPMorgan Chase & Co. is seeking an Infrastructure Engineer III to join the Infrastructure Platforms and Databases team.

You will apply your knowledge of databases, data systems, and modern software practices to support scalable SQL Server solutions and expand platforms from private cloud to public clouds. The role emphasizes AI-assisted monitoring, capacity analysis, and collaboration across infrastructure teams to address capacity risks and resiliency.

Qualifications

  • Formal training or certification on infrastructure engineering concepts and 3+ years applied experience.
  • Experience working in relational databases like Microsoft SQL Server or any other RDBMS.
  • Experience in database design and development. Writing T-SQL code and various database objects like Stored Procs, Views etc.
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
  • Working experience for ETL tools (like SSIS), Reporting tools (like SSRS) and Analytic tools (like SSAS).
  • Experience working on overall database management system including performance tuning, security.
  • Ability to dive into complex problems to troubleshoot and implement functional solutions.
  • Provide technical expertise throughout the software lifecycle including design, implementation, and delivery.
  • Understanding cloud, virtualization, APIs, and modern software languages.

Responsibilities

  • Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end-to-end monitoring of applications.
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements.
  • Resolves most nuances and determines appropriate escalation path.
  • Executes conventional approaches to build or break down technical problems while considering upstream and downstream data and systems or technical implications.
  • Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses.
  • Accountable for making significant decisions for a project consisting of multiple technologies and applications.
  • Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations.
  • Ability to thrive in a collaborative and diverse environment.
  • Optimism and adaptability when faced with challenges and complex situations, coupled with the drive to solve complex problems and continuously optimize processes.
  • Dedication to continuous improvement and development of your skillset and talents.
  • A strong personal identification with JPM's values.

Skills

SQL Server
AI-assisted monitoring
ETL (SSIS)
SSRS
SSAS
Performance tuning
Security
Cloud platforms

Education

Infrastructure certification
Relational databases

Tools

SSIS
SSRS
SSAS

Job description

JPMorgan Chase & Co. is seeking an Infrastructure Engineer III to join the Infrastructure Platforms and Databases team.

You will apply your knowledge of databases, data systems, and modern software practices to support scalable SQL Server solutions and expand platforms from private cloud to public clouds. The role emphasizes AI-assisted monitoring, capacity analysis, and collaboration across infrastructure teams to address capacity risks and resiliency.

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