Urwah Admin

Teradata

<div>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&rsquo;ll Do
Join a small advanced research team within the Office of the Chief Technology Officer focused on shaping the next generation of Teradata&rsquo;s platform.
This role centers on the control layer&mdash;how systems are orchestrated, coordinated, and exposed. You&rsquo;ll design and build services that manage lifecycle, define system behavior, and provide the interfaces through which infrastructure is controlled and consumed.
Working in a greenfield environment, you&rsquo;ll help define how the control plane operates&mdash;from provisioning and scaling to secure exposure. These systems are intended to support highly scalable workloads and evolve into customer-facing capabilities.
You&rsquo;ll be working in areas where scale introduces new constraints, and system behavior under coordination and change is as important as correctness.
You&rsquo;ll use AI-assisted tools to explore designs, accelerate implementation, and expand the range of what you can build, while ensuring systems remain robust and scalable.
You&rsquo;ll operate with significant ownership, using AI-assisted tools to explore and implement designs quickly while ensuring coherence and reliability.
<ul><li>Design and build control plane systems responsible for lifecycle management, orchestration, and coordination of distributed infrastructure</li>
<li>Define how infrastructure is provisioned, scaled, and managed through APIs and service-based interfaces</li>
<li>Shape system behavior around scaling, availability, and multi-environment operation</li>
<li>Design identity and access models, including integration patterns with systems such as OIDC, SAML, or similar frameworks</li>
<li>Build or extend control mechanisms such as controllers, coordination services, or workflow-driven provisioning systems</li>
<li>Contribute to runtime-driven provisioning and lifecycle workflows that respond to system demand</li>
<li>Use AI-assisted tools to accelerate development and explore implementation approaches</li>
</ul>Who You&rsquo;ll Work With
Collaborate with infrastructure engineering to define clear boundaries between system layers
What Makes You a Qualified Candidate
<ul><li>Experience designing and building distributed systems, platform services, or control layers</li>
<li>Strong familiarity with Kubernetes and cloud-native architectures</li>
<li>Experience designing APIs, service orchestration, and system coordination patterns</li>
<li>Understanding of identity, access, and security models in distributed systems (e.g., OIDC, SAML, or similar)</li>
<li>Programming experience in a backend language (e.g., Go, Java, Python, or similar)</li>
<li>Experience designing systems with scalability, reliability, and strong cost-performance characteristics</li>
<li>Comfort working in environments where architecture and system boundaries are still being defined</li>
</ul>What You&rsquo;ll Bring
<ul><li>Background in big data, data pipelines, or analytical platforms - understanding the scale and volume of data the underlying engine processes helps you build the right abstractions.</li>
</ul><ul><li>Familiarity with query engine or analytical database architectures (DataFusion, Trino, Presto, Spark, or similar). The control plane problems are largely engine-agnostic, but awareness of what sits below is valuable.</li>
</ul><ul><li>Experience adapting or extending open-source control planes (Kubernetes operators, custom controllers, service mesh configurations) to meet non-standard requirements.</li>
</ul><ul><li>Experience with eBPF, kernel performance tuning, or NUMA-aware hardware configuration.</li>
</ul>What Sets You Apart
<ul><li>You&rsquo;ve built systems that other engineers or customers depend on to operate reliably at scale</li>
</ul><ul><li>You&rsquo;ve designed coordination or control systems that manage complex infrastructure behavior</li>
</ul><ul><li>You understand system interactions beyond individual services</li>
</ul><ul><li>You&rsquo;re motivated by shaping platforms early where your decisions define long-term behavior</li>
</ul>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.
#LI-CP2</div>

Staff Database Internals Engineer

<div>
 
 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.
 
 
 OUR TEAM
 
 
 This position sits within the Data Intelligence Platform team, a group focused on building next-generation AI-assisted data services on top of Autonomous Knowledge Platform. Our team operates at the intersection of cloud infrastructure, data engineering, and applied AI &mdash; shipping highly available, multi-tenant services that power intelligent query routing and data discovery at scale.
 
 
 Our platform responsibilities include:
 
 
 <ul>
 <li>
 Designing and operating highly available microservices for data catalog ingestion and serving
 </li>
 <li>
 Building AI-assisted query generation and routing services across heterogeneous data sources
 </li>
 <li>
 Deployment and lifecycle management of services on Kubernetes (K8s) across AWS, Azure, and GCP
 </li>
 <li>
 Data pipeline development for catalog extraction, normalization, and semantic enrichment
 </li>
 <li>
 Centralized observability: monitoring, alerting, and distributed tracing for all platform services
 </li>
 <li>
 Providing DevOps tooling and CICD pipelines to support continuous delivery
 
 
 </li>
 </ul>
 THE OPPORTUNITY
 
 
 We are building a new service to collect and normalize data catalogs from diverse data sources &mdash; including relational databases, data lakes, data warehouses, and streaming systems &mdash; and expose them to an AI agent that dynamically constructs and routes queries to the appropriate source. This is a greenfield initiative that requires strong engineering judgment, a systems-thinking mindset, and experience shipping production-grade services.
 
 
 You will be a core contributor on this project, working from architecture to implementation &mdash; designing ingestion pipelines, building the catalog API layer, and collaborating with the AI/ML team to surface the right metadata signals for intelligent query generation.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and operate a highly available data catalog collection service that ingests schema and metadata from heterogeneous data sources (RDBMS, data lakes, streaming platforms, APIs)
 </li>
 <li>
 Develop robust data pipelines for catalog extraction, normalization, lineage tracking, and semantic tagging to power AI-driven query routing
 </li>
 <li>
 Build and maintain RESTful and/or gRPC APIs that expose catalog data to an AI query agent
 </li>
 <li>
 Deploy and manage services on Kubernetes (K8s), including helm chart authoring, autoscaling configuration, and multi-cluster operations
 </li>
 <li>
 Ensure service reliability through SLO definition, circuit breakers, retry logic, and distributed tracing
 </li>
 <li>
 Integrate with open-source and cloud-native technologies including Apache Kafka, Spark, dbt, Apache Atlas, or OpenMetadata
 </li>
 <li>
 Collaborate with AI/ML engineers to design and iterate on the metadata schema and query routing interface
 </li>
 <li>
 Participate in on-call rotations and contribute to incident response, postmortems, and reliability improvements
 </li>
 <li>
 Contribute to CICD pipelines, infrastructure-as-code (Terraform / Helm), and automated testing frameworks
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required
 
 
 
 <ul>
 <li>
 3+ years of software engineering experience building and operating production services
 </li>
 <li>
 Proficiency in one or more of: Go, Rust, Java or Python-- with a preference for Rust or Python for backend services
 </li>
 <li>
 Hands-on experience with data pipeline development: ingestion, transformation, and metadata management at scale
 </li>
 <li>
 Solid understanding of RESTful API design principles and service-to-service communication patterns
 </li>
 <li>
 Experience deploying and operating services on Kubernetes (K8s) in production cloud environments
 </li>
 <li>
 Familiarity with at least one major public cloud platform: AWS, Azure, or GCP
 </li>
 <li>
 Strong knowledge of relational and non-relational database systems and their schema/catalog semantics
 </li>
 <li>
 Experience with distributed messaging systems such as Apache Kafka or AWS Kinesis
 </li>
 <li>
 Proficiency with Git, code review workflows, and agile development practices
 </li>
 <li>
 Excellent troubleshooting skills and comfort operating in Linux environments
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience with data catalog or metadata management tools such as Apache Atlas, Open Metadata, DataHub, or Collibra
 </li>
 <li>
 Familiarity with semantic search, vector databases, or LLM-based query generation systems
 </li>
 <li>
 Experience designing or integrating AI/ML model APIs into production backend services
 </li>
 <li>
 Knowledge of data governance, lineage tracking, and schema registry patterns
 </li>
 <li>
 Experience with infrastructure-as-code tools: Terraform, Pulumi, or AWS CDK
 </li>
 <li>
 Background in multi-tenant SaaS platform engineering
 </li>
 <li>
 Contributions to open-source data or infrastructure projects
 
 
 </li>
 </ul>
 WHY TERADATA
 
 
 <ul>
 <li>
 Work on a greenfield AI-powered data intelligence product with direct business impact
 </li>
 <li>
 Collaborate with world-class engineers across cloud infrastructure, AI/ML, and data platform teams
 </li>
 <li>
 Competitive compensation including equity, comprehensive benefits, and flexible working arrangements
 </li>
 <li>
 Commitment to engineering excellence: investment in tooling, learning, and technical growth
 </li>
 <li>
 Inclusive and diverse culture with a strong sense of shared mission
 
 
 </li>
 </ul>
 
 Teradata is an Equal Opportunity / Affirmative Action Employer and commits to hiring returning veterans.
 
 
 
 
 Why We Think You&rsquo;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 an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Senior AI Engineer

<div>
 
 Our Company
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 Our Internship Program
 
 
 
 Our Internship Program Our summer internship program lasts 10-12 weeks beginning in May/June and ending in August/September. We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges every day.
 
 
 
 What You'll Do
 
 
 
 You will work on Projects Including:
 
 
 As an Agentic AI Engineer intern at Teradata, you&rsquo;ll build cutting-edge intelligent agents that transform how users explore data, derive insights, and automate workflows across industries such as healthcare, finance, and telecommunications.
 
 
 You will:
 
 
 <ul>
 <li>
 Design and write high-performing and scalable software for training models.
 </li>
 <li>
 Craft and implement techniques to improve the performance and results of our training cycles, both on the SFT and the RL.
 </li>
 <li>
 Supporting agent management, evaluating open-source frameworks, and implementing logical data models and memory support.
 </li>
 <li>
 Contributing to low-code/no-code agent construction and the integration of external data sources for complex use cases.
 
 
 </li>
 </ul>
 
 Who You'll Work With
 
 
 
 Join Forces with the Best. Collaborate with a talented team of AI architects, ML engineers, and domain experts in Silicon Valley, all working together to advance the future of enterprise AI. Work closely with infrastructure teams to scale AI workloads globally. This is a rare opportunity to shape cutting-edge AI capabilities within a dynamic, data-driven company, where innovation thrives, and your ideas help define the next generation of data interaction.
 
 
 
 What Makes You a Qualified Candidate
 
 
 
 <ul>
 <li>
 Pursuing a Bachelor&rsquo;s, Master&rsquo;s, or PhD degree in Computer Science, Electrical Engineering, or a related field.
 </li>
 <li>
 Expert in ML and fine-tuning large language models.
 </li>
 <li>
 Proficiency in Python and related ML frameworks such as JAX, Pytorch, and XLA/MLIR.
 </li>
 <li>
 Familiar with state-of-the-art techniques for preparing AI training data.
 
 
 </li>
 </ul>
 
 What You Will Bring
 
 
 
 <ul>
 <li>
 Experience with post-training the models to reach SOTA-level performance.
 </li>
 <li>
 Familiar with designing and implementing large-scale model training frameworks.
 </li>
 <li>
 Collaborating with pre-training, reasoning, data, multimodal, applied, and product efforts to push the frontiers of model capability.
 
 
 </li>
 </ul>
 Pay Rate: $29. 00 - $44. 00 - $50. 00 Hourly
 
 
 
 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.
 
 
 
 
 
 Why We Think You&rsquo;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 an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

AI Engineer Intern

Join Teradata and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Teradata

About Company

Staff Database Internals Engineer

Senior AI Engineer

AI Engineer Intern