Staff DevOps Engineer

Teradata Group; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Teradata seeks a Staff DevOps Engineer within the Cloud Platform Services team to build and operate cloud platform services across AWS, Azure, and Google Cloud. You will focus on provisioning, deployment observability, and lifecycle management for Teradata compute infrastructure.

You will drive infrastructure automation with Terraform, establish engineering standards, and design CI/CD platforms at scale while guiding SRE practices and security governance across teams.

Qualifications

• Terraform and IaC experience required.
• Experience designing and operating large-scale cloud platforms.
• Hands-on Kubernetes and cloud-native architectures.
• Experience building enterprise CI/CD platforms (GitHub Actions, Jenkins, GitLab CI, Azure DevOps).
• Strong programming and automation skills (Python, Go, Bash).
• Understanding of cloud networking, IAM, security controls and multi-region architectures.
• Observability platforms experience (Prometheus, Grafana, Datadog, Splunk).
• SRE practices including incident management and capacity planning.
• Ability to influence architecture and technical strategy across teams.

Responsibilities

• Lead architecture and implementation of large-scale DevOps and cloud platforms across AWS, Azure, and Google Cloud.
• Define infrastructure automation strategy using Terraform and cloud-native services.
• Establish engineering standards and operational excellence frameworks.
• Design and evolve CI/CD platforms using GitHub Actions, Jenkins, GitLab CI, or Azure DevOps.
• Lead Kubernetes platform architecture, deployment automation, and scalability initiatives.
• Drive reliability, disaster recovery and multi-region deployment strategies.
• Define observability frameworks including monitoring, logging, tracing, and SLO/SLI.
• Partner with engineering, security, networking, and platform teams to improve developer productivity and reliability.
• Lead incident reviews, root cause analysis, and continuous improvement.
• Mentor engineers and influence technical direction across organizations.

Skills

Terraform & IaC

Cloud platforms

Kubernetes

CI/CD platforms

Python/Go/Bash

Cloud networking & IAM

Observability tooling

SRE practices

Technical leadership

Education

Bachelor's degree in CS/Engineering

Advanced degree (optional)

Tools

GitHub Actions

Jenkins

GitLab CI

Azure DevOps

Job description

Staff DevOps Engineer – Cloud Platform Services

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.

Partnering with top companies around the world, Teradata helps improve customer experience, mitigate risk, drive product innovation, achieve operational excellence, transform finance, and optimize assets.

Teradata is recognized by media and industry analysts as a future-focused company for its technological excellence, sustainability, ethics, and business value.

The Teradata culture is built on diversity, collaboration, and innovation. Individuals with different backgrounds and perspectives come together with a shared goal of making Teradata and our people the best we can be.

Our Team

• This position is for a Staff DevOps Engineer in the Platform Services team within the Vantage Core Platform Software organization.
• The team builds and operates cloud platform services powering provisioning, deployment, observability, and lifecycle management of Teradata compute infrastructure across AWS, Azure, and Google Cloud.
• Key focus areas include:
• Multi-cloud infrastructure automation and platform operations
• CI/CD platforms and deployment automation at scale
• Kubernetes and cloud-native platform engineering
• Infrastructure as Code (IaC) and GitOps practices
• Site Reliability Engineering (SRE), observability, and operational excellence
• Security, compliance, and governance automation

Responsibilities

• Lead the architecture and implementation of large-scale DevOps and cloud infrastructure platforms across AWS, Azure, and Google Cloud.
• Define and drive infrastructure automation strategy using Terraform and cloud-native services.
• Establish engineering standards, best practices, and operational excellence frameworks adopted across multiple teams.
• Design and evolve CI/CD platforms using GitHub Actions, Jenkins, GitLab CI, or similar technologies.
• Lead Kubernetes platform architecture, deployment automation, and operational scalability initiatives.
• Drive reliability, resilience, disaster recovery, and multi-region deployment strategies for critical cloud services.
• Define and implement observability frameworks including monitoring, alerting, logging, tracing, and SLO/SLI practices.
• Partner with engineering, security, networking, and platform teams to improve developer productivity and system reliability.
• Lead incident response reviews, root cause analysis, and continuous improvement initiatives.
• Mentor engineers and influence technical direction across organizations.

Qualifications

• Strong expertise in Terraform, Infrastructure as Code (IaC), and cloud infrastructure automation.
• Deep experience designing and operating large-scale cloud platforms on AWS, Azure, or Google Cloud.
• Strong hands‑on experience with Kubernetes, container orchestration, and cloud-native architectures.
• Expertise building enterprise CI/CD platforms using GitHub Actions, Jenkins, GitLab CI, Azure DevOps, or equivalent solutions.
• Strong programming and automation skills in Python, Go, Bash, or similar languages.
• Deep understanding of cloud networking, IAM, security controls, compliance, and multi-region architectures.
• Experience implementing observability platforms using Prometheus, Grafana, Datadog, Splunk, OpenTelemetry, or similar technologies.
• Strong understanding of Site Reliability Engineering (SRE) practices including incident management, capacity planning, and reliability engineering.
• Proven ability to influence architecture and technical strategy across multiple teams and organizations.

Nice to Have

• Experience operating large-scale multi-cloud platforms supporting mission-critical workloads.
• Experience building Internal Developer Platforms (IDP) and self‑service infrastructure capabilities.
• Experience with GitOps technologies such as ArgoCD or Flux.
• Experience with platform security, compliance automation, and governance frameworks.
• Experience supporting SaaS and managed-service environments at enterprise scale.
• AWS, Azure, Google Cloud, Kubernetes, or Terraform certifications.

Minimum Education

• Bachelor's degree in Computer Science, Engineering, or related discipline with 8+ years of relevant industry experience.
• Advanced degree with 6+ years of relevant industry experience.

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