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Senior DevOps Engineer

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Teradata

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Location:
India , Hyderabad ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are looking for a Senior DevOps Engineer to design, build, and operate scalable, reliable cloud-native infrastructure that supports modern applications, including platforms running LLM and Generative AI workloads. You will work closely with software engineers, ML/AI engineers, and product teams to enable fast, secure, and resilient deployments. You’ll work closely with data scientists, ML engineers, platform teams, and product managers to operationalize AI/ML workflows, enabling smooth transitions from experimentation to production. You’ll also define test strategies, automate validation pipelines, and champion the overall quality of Teradata’s AI/ML platform and analytic products.

Job Responsibility:

  • Design, implement, and maintain Kubernetes-based platforms for production workloads
  • Build and manage containerized applications using Docker
  • Create, maintain, and version Helm charts for application and service deployments
  • Own CI/CD pipelines and deployment strategies (rolling, blue-green, canary, etc.)
  • Improve system reliability, scalability, observability, and operational excellence
  • Partner with AI/ML teams to support LLM and GenAI workloads in production environments
  • Troubleshoot complex infrastructure and deployment issues across environments
  • Establish best practices for infrastructure automation, security, and cost efficiency

Requirements:

  • 5+ years of experience in DevOps, SRE, or Platform Engineering roles
  • Strong hands-on experience with Kubernetes in production environments
  • Proficient with Docker and container lifecycle management
  • Solid experience building and managing Helm charts
  • Deep understanding of deployment strategies and CI/CD pipelines
  • Experience operating cloud-native systems (AWS, Azure, or GCP)
  • Understanding of how LLM and Generative AI systems are deployed and operated
  • Familiarity with serving LLM models, inference workloads, or AI services in Kubernetes
  • Awareness of performance, scaling, and cost considerations for GenAI workloads

Nice to have:

  • Bachelor’s or Master’s in Computer Science, Artificial Intelligence, or a related field (or equivalent experience)
  • Experience supporting ML platforms, model serving, or vector databases
  • Knowledge of GPU scheduling, resource optimization, or high-performance workloads
  • Experience with observability tools (Prometheus, Grafana, OpenTelemetry, etc.)
  • Infrastructure as Code (Terraform, CloudFormation, etc.)
What we offer:
  • People-first culture
  • Flexible work model
  • Focus on well-being
  • Inclusive environment

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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