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Sr DevOps Engineer

Location: Pune, Maharashtra, India

Notice

This position is no longer open.

Requisition Number: 216790

External Description:

What You'll Do

Teradata is growing our Cloud Operations team and we’re looking for individuals that exemplify our principle of Customer Obsession through operational excellence, leadership, and a passion to continually be the voice of the customer. This is a unique opportunity to join our team in a period of fast growth and expansion. If you are interested in working in a dynamic and fast paced environment where you can directly influence the future of cloud-based analytics solutions and services, then this is the place for you. You will actively develop and implement state of the art technical solutions, including capabilities to support elastic scalability, on-demand self-service, disaster recovery, and usage-based consumption, to enable customers to solve their most complex data analytics challenges. 

Teradata Cloud seeks a Sr DevOps Engineer to build and operate highly scalable, fault tolerant, and secure systems in a distributed system highly distributed and dynamic Hybrid Cloud environment. 

What Makes You a Qualified Candidate

 

  • Define standards for metrics, logs and alerts across all cloud infrastructure and micro-services.
  • Partner with Engineering, Infrastructure, Support teams, stake holders and define monitoring standards for best performance, scalability, reliability and resiliency
  • Analyze utilization patterns, incidents and implement betterment solutions.
  • Reduce MTTR and MTTD’s with Observability.
  • Build Customer, infrastructure, application performance dashboards.
  • Develop automation for deployment, troubleshooting, managing of Observability tools with a goal towards self-service.
  • Create and maintain technical documentation as well as project plans.
  • Create and maintain knowledge base and runbooks.
  • Support of Observability tools and technologies in a 24/7 Production Environment.
  • Handle live production incidents and lead debug/troubleshooting including RCA.
  • Define and Implement SLO/SLI standards, Error Budgets.
  • Communicate and collaborate with stakeholders.

What You'll Bring

  • Solid understanding of Cloud infrastructure – AWS, Azure and GCP
  • Practical knowledge of Python, Terraform, Jenkins, GIT
  • Knowledge of Operating systems (linux), TCP/IP, HTTP and micro-services (Kubernetes).
  • Experience with Observability tools like Datadog (preferred) or New Relic or similar tool.
  • Experience in building Dashboards, Monitors, RCA.
  • Working knowledge of Distributed systems.
  • Trouble shooting and analytical skills.
  • Excellent communication, documentation and presentation skills.
  • Bachelor’s Degree in Computer Science Engineering or equivalent.
  • Experience - 4 -6 Yrs

 

CountryEEOText_Description: 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.

City: Pune

State: Maharashtra

Community / Marketing Title: Sr DevOps Engineer

Job Category: Engineering

Company Profile:

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

LinkedIn Remote:

Location_formattedLocationLong: Pune, Maharashtra IN

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