Senior Cloud AI Engineer

Location: Bangalore, Hyderabad, or Pune, India

What You’ll Do As a Cloud AI Engineer , you will play a key role in designing and delivering highly scalable, next generation infrastructure within our AI stack. You will work in a technically rich environment with talented peers, contributing to product planning, design and execution while influencing the evolution of Teradata’s AI capabilities.

In this role, you will:

• Design, develop, and maintain high quality cloud native or on-prem infrastructure with an emphasis on scalability, availability, resiliency, and performance.
• Design and review large-scale distributed systems supporting multi cloud deployments.
• Use IaC and automation tools such as Terraform to ensure infrastructure changes are reliable, repeatable, and version controlled.
• Develop self-service platforms and tools that improve developer productivity and streamline deployment lifecycles.
• Collaborate with cross-functional engineers and product partners to shape the product and enable consistent delivery of end to end features.
• Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability.
• Work with SQL and/or NoSQL databases to implement efficient data models and service access patterns.
• Implement comprehensive monitoring, logging, and alerting systems.
• Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs).
• Use AI powered engineering tools to improve development quality, speed, and productivity.
• Use engineering standards and best practices.
• Mentor engineers, supporting them in technical planning and execution.
• Identify and resolve system performance bottlenecks, optimizing code, design, and infrastructure.
• Write unit and integration tests and participate in code reviews to uphold engineering excellence.
• Investigate production issues, ensuring timely and effective solutions.
• Stay current with emerging trends in infrastructure engineering, AI/ML, and cloud-native technologies.

Who You’ll Work With You will be part of a high-performing engineering team building core components of Teradata’s AI platform. You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to Teradata’s AI product roadmap and technological direction.

What Makes You a Qualified Candidate

• Bachelor’s degree in Computer Science or equivalent from a recognized institution.
• 2+ years of experience in infrastructure, networking, devops or cloud technologies.
• Hands-on expertise with public cloud providers such as AWS, Azure, or GCP, cloud APIs and SDKs, or infrastructure components such as VPC/VNet, API gateways, storage or compute.
• Experience with virtualization/container orchestration technologies like Kubernetes, Istio or Docker.
• Advanced proficiency in automation tools like Terraform and Helm.
• Experience with configuration management tools like Chef or Puppet.
• Strong proficiency in languages like Python, Go, or Bash for services development and scripting.
• Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions or ArgoCD.
• Good understanding of design principles, distributed system patterns.
• Familiarity with security, compliance, IAM and observability.
• Hands-on experience designing and developing RESTful APIs.
• Experience with SQL or NoSQL databases and data modelling.
• Strong debugging, problem solving, and troubleshooting skills.
• Experience with AI productivity tools such as Claude Code or GitHub Copilot.
• Ability to work independently, drive workstreams, and deliver high quality outcomes.
• Strong communication and collaboration skills.

What You’ll Bring (Preferred qualifications)

• Familiarity with infrastructure KPIs and cost optimization.
• Experience with messaging systems such as Kafka.
• Experience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs.
• A track record of influencing infrastructure design decisions and driving engineering best practices.
• The ability to mentor engineers and guide them through design, planning, and execution.
• A proactive mindset and comfort working in fast paced, dynamic environments.
• Curiosity, adaptability, and a passion for building impactful AI-driven products.

**Why We Think You’ll Love Teradata We prioritize a peo…