Senior Cloud AI Engineer

Teradata Group; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Teradata Bengaluru is seeking a Cloud AI Engineer to design, build, and optimize scalable cloud-native and on-prem infrastructure as part of Teradata’s AI stack. You’ll collaborate with peers to plan, design, and deliver end-to-end features for Teradata’s AI platform.

You will work with cross-functional teams on multi-cloud deployments, implement RESTful APIs, and apply AI/ML techniques including LLMs. Strong automation and security practices are required.

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 modeling.
• 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 and version controlled.
• Develop self-service platforms and tools to improve developer productivity and streamline deployment lifecycles.
• Collaborate with cross-functional engineers and product partners to shape the product and enable end-to-end features.
• Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability.
• Work with SQL and 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 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

Cloud infrastructure

Distributed systems

Problem solving

Independent work

Communication

AI/ML tooling

Mentoring

Security & observability

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Kubernetes

Istio

Docker

Terraform

Helm

Chef

Puppet

Jenkins

GitHub Actions

ArgoCD

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.

WhatYou’llDo

As aCloud 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 productplanning, designand execution while influencing the evolution of Teradata’s AI capabilities.

In this role, you will:

• Design, develop, andmaintainhigh quality cloud native or on-prem infrastructurewith an emphasis on scalability, availability, resiliency, and performance.
• Design and review large-scale distributed systems supportingmulti clouddeployments.
• UseIaCand 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 shapethe productand enable consistent delivery ofend to endfeatures.
• Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability.
• Work with SQL and/orNoSQL 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.
• Mentorengineers,supportingthem in technical planningand execution.
• Identifyand resolve system performance bottlenecks,optimizingcode,design, and infrastructure.
• Write unit and integration tests andparticipatein code reviews to uphold engineering excellence.
• Investigate production issues, ensuringtimelyand effective solutions.
• Stay current with emerging trends ininfrastructureengineering, AI/ML, and cloud-native technologies.

WhoYou’llWork 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 Scienceor equivalent from a recognized institution.
• 4+ years of experience in infrastructure, networking, devops or cloud technologies.
• Hands-onexpertisewith public cloud providers such as AWS, Azure, or GCP, cloud APIs and SDKs,orinfrastructure components such as VPC/VNet, API gateways,storageorcompute.
• Experience withvirtualization/container orchestration technologies like Kubernetes,IstioorDocker.
• Advancedproficiencyin automation tools like Terraform and Helm.
• Experience with configuration management tools like Chef or Puppet.
• Strongproficiencyin languages like Python, Go,orBash for services development and scripting.
• Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub ActionsorArgoCD.
• Goodunderstanding of designprinciples,distributed system patterns.
• Familiarity with security, compliance,IAMand observability.
• Hands-on experience designing and developing RESTful APIs.
• Experience with SQLorNoSQL databases and datamodelling.
• 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 communicationand collaboration skills.

WhatYou’llBring

(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 recordof influencing infrastructuredesigndecisions 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.

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