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
In this role, you will drive sustaining and quality improvements across Teradata database system, ensuring reliability, correctness, and customer trust for mission-critical, large scale workloads.
You will focus on diagnosing and resolving complex customer-impacting issues, particularly within Teradata's strategic data access and lakehouse integration capabilities, including NOS (Native Object Store), OFS (Open File System), and OTF (Open Table Format).
You will:
- Own end-to-end investigation, diagnosis, and resolution of complex customer-impacting issues across DBS and strategic subsystems including NOS, OFS, and OTF.
- Diagnose and resolve issues involving SQL Engine, data access paths, execution behavior, cloud storage integration, resource management, and cross-component interactions.
- Deliver high-quality code fixes, diagnostic enhancements, and product improvements that improve platform reliability and customer experience.
- Drive technical investigations across SQLE, PDE, Storage, NOS, OFS, OTF, Cloud, and Performance Engineering teams to resolve complex system-wide issues.
- Support high-severity customer escalations and provide technical leadership during critical production incidents.
- Perform root cause analysis and translate customer learnings into long-term engineering improvements.
- Collaborate with Product Engineering and System Performance Engineering to address reliability, scalability, and performance challenges.
- Improve diagnostics, troubleshooting methodologies, and sustaining engineering best practices.
- Contribute to release readiness activities including defect risk assessment, validation planning, and customer impact analysis.
- Develop and maintain subsystem expertise in NOS, OFS, and OTF while helping scale knowledge across the organization.
- Influence engineering decisions through insights derived from real-world customer workload behavior and production environments.
Success in this role looks like:
- Customer-impacting issues are diagnosed and resolved with speed, quality, and technical rigor.
- Strategic subsystems including NOS, OFS, and OTF demonstrate improved reliability, supportability, and customer adoption.
- Time-to-diagnosis for complex DBS issues is significantly reduced.
- Root causes are accurately identified and addressed through durable fixes and preventative improvements.
- High-severity customer incidents are managed effectively with clear technical leadership and communication.
- Diagnostic capabilities and troubleshooting practices scale across teams through improved tooling, documentation, and knowledge sharing.
- Product quality and customer trust improve across releases.
- Strong partnerships are established across Sustaining, SQLE, PDE, Product Engineering, Support, and Performance Engineering teams.
Who You’ll Work With
On our team, we operate at the intersection of sustaining engineering, performance engineering, database engine development, cloud integration, and customer escalation support.
You will work closely with:
- Sustaining and System Performance Engineering teams
- SQLE, NOS, OFS, OTF, and PDE engineering teams
- Customer support and escalation teams
- Product management and release engineering teams
This role reports into Sustaining Engineering leadership and requires strong cross-organizational collaboration and technical influence.
Our team plays a critical role in:
- Protecting customer trust through consistent, high-quality platform behavior at scale.
- Ensuring correctness, reliability, and performance across DBS and strategic data access technologies.
- Enabling successful customer adoption of cloud-native analytics, lakehouse integrations, and AI-driven workloads.
- Driving continuous improvements in product quality, supportability, and operational excellence.
What Makes You a Qualified Candidate
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
- 8+ years of professional software engineering experience developing or supporting complex database systems, distributed systems, or large-scale data platforms
- Working knowledge of Teradata DBS internals and architecture
- Demonstrated experience supporting, developing, or troubleshooting one or more strategic Teradata subsystems including NOS, OFS, and OTF
- Proven ability to diagnose and resolve complex customer-impacting issues in production environments
- Strong understanding of database execution behavior, concurrency, resource management, reliability, and performance fundamentals
- Experience analyzing logs, traces, dumps, diagnostics, and system-level evidence to identify root causes
- Experience delivering production-quality software fixes and enhancements using C, C++, Java, Python, or similar languages
- Demonstrated ability to collaborate effectively across multiple engineering organizations
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Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
