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.
Staff Software Engineer – Platform & Compute Systems
Our Team
This role is for a Staff Software Engineer in the Platform Services team within the Core Platform Software organization.
We build foundational platform and compute systems that enable scalable self-service experiences, AI/ML workloads, and distributed analytics workloads in the cloud. These platforms form the backbone for user-facing products and internal engineering teams, enabling reliable provisioning, execution, and lifecycle management of complex compute environments.
This is a senior individual contributor role focused on technical leadership, architecture, and building durable platform capabilities. It is not a DevOps or infrastructure operations role.
Key focus areas include:
- Platform and compute control-plane services supporting large-scale distributed systems
- Self-service and product-led platform foundations
- AI/ML and analytics execution platforms running on cloud-native compute
- Core orchestration, lifecycle, and state-management services with strong API design
What You'll Do
- Lead design and architecture of core platform and compute services used across multiple products and teams
- Build and evolve control-plane systems responsible for provisioning, scaling, and lifecycle management of distributed compute environments
- Design and implement scalable backend services and APIs consumed by self-service and AI-driven workflows
- Define architecture patterns, technical standards, and best practices for platform engineering teams
- Drive design reviews and provide technical guidance across engineering teams
- Tackle complex distributed systems problems related to scale, reliability, state, and failure handling
- Partner closely with product, AI/ML, and UI teams to shape end-to-end system design
- Mentor senior engineers and raise the overall engineering bar
What We're Looking For
- Proven experience designing and building large-scale platform or backend systems
- Strong programming expertise in Python, Java, Go, or similar languages
- Deep understanding of distributed systems and cloud-native architectures
- Hands-on experience with at least one major public cloud platform (AWS, Azure, or GCP)
- Experience designing APIs, control planes, or shared platform services used by multiple teams
- Ability to lead technical initiatives end-to-end and influence architectural decisions
- Strong problem-solving skills and systems-level thinking
Nice to Have
- Experience building self-service platforms or internal developer platforms
- Experience supporting AI/ML or analytics workloads at scale
- Familiarity with distributed compute runtimes, schedulers, or container platforms
- Experience with event-driven or workflow-based architectures
Minimum Education
- Bachelor's degree in Computer Science, Engineering, or related field with 8+ years of industry experience
- Advanced degree with 6+ years of experience
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 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. 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.
