Senior Cloud Architect — Agentic Dev & Elastic Compute

Teradata; San Diego (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Teradata seeks a senior engineering leader to set the direction for agentic development across design, implementation, testing, and operations. You will lead by example in delivering production-grade AI-enabled engineering workflows and define guardrails, quality gates, and security controls.

You will architect elastic compute across AWS, Azure, and Google Cloud and guide cross-team efforts toward observable, resilient platforms.

Qualifications

• 10+ years of software development experience
• Hands-on experience with agentic development: building production software with AI coding agents
• Experience with elastic or autoscaling compute architectures on a major cloud provider (AWS, Azure, Google Cloud)
• Strong programming skills to guide agentic development
• Strong understanding of data platform concepts: databases or data warehouses, query processing, workload management, storage and compute separation
• Experience designing for high availability, performance predictability, security, and multi-tenancy
• Experience designing agentic engineering practices, such as agent context and instructions, tool integration, evaluation, and safety controls

Responsibilities

• Set the direction for agentic development across design, implementation, testing, code review, debugging, and operations, and lead by example with hands-on agentic work
• Build and run agent-driven engineering workflows from specification to production-ready code and design context, tooling, and pipelines
• Define guardrails, evaluation methods, quality gates, and security controls for enterprise-grade agent-generated work
• Contribute to agent-driven platform capabilities, such as autonomous operations, tuning, and diagnostics
• Architect and build elastic compute capabilities that scale with demand across AWS, Azure, and Google Cloud
• Define how elastic and always-on compute work with governance, security, and workload management
• Lead design reviews and architectural decisions balancing near-term delivery with long-term direction
• Partner with engineering, product, and operations to take features from design to production and improve observability, automation, and resilience

Education

Bachelor's or Master's in Computer Science, Engineering, or equivalent experience

Tools

Kubernetes

Containers

Job description

Teradata seeks a senior engineering leader to set the direction for agentic development across design, implementation, testing, and operations. You will lead by example in delivering production-grade AI-enabled engineering workflows and define guardrails, quality gates, and security controls.

You will architect elastic compute across AWS, Azure, and Google Cloud and guide cross-team efforts toward observable, resilient platforms.