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We are seeking a Staff Software Engineer to lead the design and development of next-generation AI-enabled product experiences. In this role, you will drive technical architecture across the stack, build scalable systems, and establish modern development practices leveraging AI-assisted engineering workflows.
Job Responsibility:
Design and Implement Cloud services that manage the infrastructure and control plane on the public cloud platforms like AWS, Azure & Google Cloud
Implement automations to provision, configure, manage and monitor Teradata Cloud services, sites and offerings
Develop threat models to ensure the Cloud platform services are secure and meets our compliance standards.
Requirements:
Graduate or bachelor’s degree in computer science
At least 8+ years of hands-on software development experience
At least 5 years of experience with designing, building, and operating distributed complex software systems on Google Cloud, AWS and Azure
Experience with dev-ops software development methods
Strong computer science fundamentals in data structures, algorithm design, and complexity analysis
Demonstrated proficiency with at least one modern general-purpose programming languages like Go, Python
Drive adoption of AI-accelerated development practices, converting AI-generated prototypes into production-ready systems and improving engineering velocity
Design and integrate AI-powered features and agent-based workflows leveraging LLM technologies
End‑to‑end development of AI agents, from ideation and prototyping to production‑ready releases on unified agent platforms
Operationalization of AI agents for broad organizational use, including deployment pipelines, containerization patterns, monitoring, and lifecycle management
Work with UX, product management and other platform engineering teams to help create and evaluate new product ideas and technical designs
Implement best practices that produce maintainable code, including usability patterns, code style conformity, integration, testing, and code review
Participate in detailed reviews of design, architecture, and code produced by other engineers within the team.