Our Company:
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

What You'll Do

System Performance Engineers are key members of a specialized technical team focused on diagnosing, analyzing, and improving performance across the Teradata analytics ecosystem. In this role, you will work on complex customer environments to investigate CPU, memory, I/O, network, and query-processing behavior; identify bottlenecks; and recommend tuning or configuration changes that improve stability, scalability, and throughput. The ideal candidate combines strong analytical problem-solving skills with hands-on experience in relational databases, Linux or UNIX systems, and performance diagnostics in enterprise-scale environments.

Key Responsibilities

• Analyze system and database performance using logs, metrics, and diagnostic tools to identify performance bottlenecks and abnormal behavior
• Work directly with customers and internal teams to investigate performance issues and deliver clear, actionable recommendations
• Apply structured troubleshooting methods to isolate, reproduce, and resolve complex workload, query, and infrastructure performance problems
• Perform root cause analysis for degradation incidents and document findings, corrective actions, and preventive recommendations
• Partner with engineering teams to identify product defects, validate fixes, and improve observability and performance diagnostics
• Track technical actions, tuning recommendations, and ownership across cases to ensure timely follow-through and high-quality customer communication
• Deliver a strong customer experience through professional communication, technical depth, and a focus on measurable performance outcomes
• Follow incident and escalation processes for priority issues while maintaining clear status updates and technical case documentation
• Support a 24x7 global environment through participation in on-call rotations, weekend coverage, or after-hours escalations as required
• Contribute to proactive performance improvement initiatives, including trend analysis, repeatable diagnostics, and continuous tuning best practices

Basic Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline
• 3+ years of experience in system performance engineering, database administration, technical support, or a related role in enterprise data environments
• Hands-on experience supporting Linux or UNIX systems in production environments
• Strong analytical and problem-solving skills with the ability to interpret performance metrics and troubleshoot complex technical issues
• Experience working collaboratively across support, engineering, and customer-facing teams
• Strong communication, prioritization, and time-management skills in a fast-paced technical environment
• Experience using ticketing, incident management, or case tracking systems such as ServiceNow

Preferred Qualifications

• Experience supporting performance in complex database or analytics environments at enterprise scale (Teradata experience is a plus)
• Strong knowledge of relational databases, SQL execution plans, indexing strategies, and query optimization
• Exposure to public cloud platforms and performance considerations in cloud-based data environments
• Experience with scripting or automation using Python, Shell, Perl, or similar languages
• Knowledge of Linux system administration, system resource analysis, and operating system performance tools
• Understanding of network fundamentals and their impact on end-to-end system performance
• Experience with workload analysis, benchmarking, trend analysis, or capacity planning is a plus
• Familiarity with storage, I/O, and infrastructure components that influence database and platform performance
• Teradata platform, DBA, or analytics ecosystem experience is strongly preferred

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