Senior Cloud AI Engineer

Teradata; Hyderabad; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Teradata is seeking a Cloud AI Engineer to design and deliver scalable infrastructure within our AI stack. You will work in a technically rich environment, contributing to product planning, design and execution while advancing Teradata’s AI capabilities.

You will design cloud-native or on-prem solutions, use Terraform for reliable changes, mentor teammates, and help deliver end-to-end features across multi-cloud deployments.

Qualifications

• Bachelor’s degree in Computer Science or equivalent from a recognized institution.
• 4+ 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.

Responsibilities

• Design, develop, and maintain 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.

Skills

Python

Go

Bash

CI/CD practices

Distributed systems

Education

Bachelor's degree in Computer Science

Tools

Terraform

Helm

Kubernetes

Istio

Docker

Jenkins

GitHub Actions

ArgoCD

Chef

Puppet

API gateways

Job description

Our Company

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

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.

• 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.
• 4+ 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 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.