Vice President Jobs

About The Position

Requirements

• A minimum of 8+ years of hands-on experience in database administration, middleware engineering, or enterprise data platform operations.
• Proven experience in event management, alert tuning, and incident reduction for data and middleware services, with measurable results. Direct, hands-on experience with modern AIOps and event management platforms is required.
• Deep knowledge of both relational (e.g., Oracle, SQL Server) and NoSQL (e.g., MongoDB) database technologies, including clustering, replication, and performance tuning.
• Expertise in middleware platforms, including messaging technologies (e.g., MQ, Kafka) and application servers (e.g., WebSphere, Tomcat).
• Hands-on experience developing robust automation solutions using relevant scripting languages (e.g., Python, Shell) and modern automation frameworks.
• Proficiency in log analysis, pattern recognition, and using query languages for data analysis on log aggregation platforms.
• Excellent analytical abilities with a systematic approach to troubleshooting complex data platform architectures and correlating infrastructure issues with application impact.
• Exceptional communication skills with the ability to collaborate effectively with DBAs, middleware engineers, and application teams, and to present technical concepts to diverse audiences.

Nice To Haves

• An advanced degree (Master's) in a relevant technical field.
• Relevant industry certifications (e.g., Database, Middleware, Cloud, Automation, ITIL).
• Experience with Database as a Service (DBaaS) platforms and other database technologies.
• Knowledge of data governance, security, and compliance requirements in a regulated environment.
• Background in large-scale financial services environments.
• Experience with modern observability platforms, distributed tracing, and infrastructure-as-code (IaC) principles.

Responsibilities

• Analyze and optimize monitoring across all database and middleware platforms to address high-volume, low-value alerts, identify patterns in incident generation, and determine root causes.
• Develop and implement domain-specific correlation, de-duplication, and suppression rules on AIOps and event management platforms. Create logic that understands database cluster relationships, messaging dependencies, and application-to-database connections.
• Architect and develop automation playbooks for incident data enrichment and automated remediation of common database and middleware issues, such as connection pool resets or service restarts.
• Identify monitoring gaps across the data and middleware landscape, proposing enhancements to ensure comprehensive health monitoring and address blind spots in transactional flows.
• Partner closely with Database Administration (DBA), middleware engineering, and application teams to validate correlation logic, build consensus on threshold changes, and provide expert guidance on event management best practices.
• Continuously validate the effectiveness of implemented rules and automation, ensuring critical health indicators remain highly visible. Lead post-implementation reviews and drive iterative improvements.

Benefits

• medical
• dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays