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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. 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.
Job Responsibility
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
Requirements
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
Nice to have
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