Senior Cloud Engineer

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’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—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

Who You'll Work With

This role is for a Senior Cloud Engineer in the Platform Services team within the Core Platform Software organization. We build core platform and compute services that enable self-service onboarding, developer-friendly experiences, AI/ML workloads, and scalable cloud compute systems. Our platforms are designed to make it easy for users and internal teams to discover, provision, run, scale, and manage analytics and AI workloads across public cloud environments. The team focuses on software engineering for platforms and compute systems — building product-quality backend services, workflows, and control planes that power modern, cloud-native experiences.

Key focus areas include: • Self-service and product-led platform capabilities for onboarding and trial experiences • AI/ML platform foundations, including workflow execution and scalable compute backends • Cloud compute and runtime platform services supporting distributed workloads • Control-plane and orchestration services with strong API and developer experience design

What You’ll Do

• Design and build cloud-native platform and compute services used by self-service and AI-driven workloads
• Develop backend services and APIs that enable provisioning, lifecycle management, and runtime orchestration of compute environments
• Build control-plane systems for managing scale, upgrades, state, and lifecycle of distributed compute components
• Implement workflow orchestration and stateful systems for complex, multi-step platform operations
• Partner closely with product, AI/ML, and UI teams to deliver cohesive end-to-end user experiences
• Apply distributed systems fundamentals to ensure systems are scalable, reliable, and resilient
• Improve developer and consumer experience through clean APIs, well-defined contracts, and extensibility
• Debug and resolve complex issues across platform services and compute subsystems
• Contribute to technical design and architectural discussions shaping future platform capabilities

What Makes You a Qualified Candidate

• Strong experience building backend, platform, or infrastructure-aware software systems
• Proficiency in Python, Java, Go, or similar backend languages
• Experience designing and implementing distributed systems or platform services
• Solid understanding of cloud computing concepts with hands-on experience in AWS, Azure, or GCP
• Experience building service-based or RESTful APIs consumed by other teams or products
• Ability to reason about scalability, state management, fault tolerance, and failure modes
• Strong analytical and problem-solving skills with a product-oriented mindset
• Bachelor’s degree in Computer Science, Engineering, or related field with 4+ years of industry experience
• Advanced degree with 3+ years of experience

What You Will Bring

• Experience working on self-service platforms or product-led experiences
• Experience supporting AI/ML workloads or data/analytics platforms
• Familiarity with distributed compute systems
• Experience with event-driven or workflow-based architectures
• Experience building internal platforms used across multiple product teams

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