• Understand the firm’s database infrastructure environment and technology modernization roadmap.
• Partner with application teams to plan and execute database migrations.
• Migrate workloads to the latest database products and versions on private cloud or public cloud platforms.
• Provide post-migration expertise to maximize application workload performance and resiliency.
• Monitor database performance to ensure stable, efficient operations.
• Optimize capacity and scalability to meet current and future demand.
• Identify and deliver automation solutions to run performance/capacity requirements more efficiently.
• Collaborate with developers to refine database schemas, optimize queries, and improve application performance.
• Support 24/7 availability and reliability for mission-critical systems through proactive analysis, enhancements, and after-hours/weekend release deployments, maintenance windows, and upgrades as needed.
• 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.
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure disciplines concepts and 3+ years applied experience
• Strong knowledge of one or more infrastructure disciplines such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments
• Strong knowledge on enterprise database technologies, including both SQL and NoSQL databases.
• Demonstrates relevant experience working with services on multi-cloud infrastructure (e.g., AWS, Azure, GCP, OCI) and/or Private Cloud.
• Is accountable in providing automation and optimization solutions across an enterprise technology infrastructure organization.
• Demonstrates relevant experience in a Tier 1 financial services organization or similar industry.
• Experience collaborating with application development teams to provide guidance on the best use of database services and infrastructure.
• Experience working alongside DevOps engineering teams.
• Strong troubleshooting skills and familiarity with database resiliency patterns (performance, capacity, reliability, backup/restore, HA/DR, patching and upgrades).
• 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.

• Respect for people and opinions, with the confidence to offer your point of view.
• Ability to thrive in a collaborative and diverse environment while proactively building trust and long-lasting relationships.
• Optimism and adaptability when faced with challenges and complex situations, with a drive to solve complex problems and continuously optimize processes.
• Dedication to continuous improvement and ongoing development of your skillset and talents.