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Sr DevOPS Engineer
Sr DevOPS EngineerTata Consultancy Services • Raleigh, NC, United States
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Sr DevOPS Engineer

Sr DevOPS Engineer

Tata Consultancy Services • Raleigh, NC, United States
[job_card.1_day_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Sr DevOPS Engineer (Snowflake, DBT and Qlik)

  • CI / CD tools : Azure DevOps Pipelines or GitLab CI / CD (hands-on pipeline development)
  • Infrastructure as Code : Terraform (AWS and Azure providers) production-grade experience
  • Configuration Management : Ansible and / or Puppet ability to write playbooks / manifests and manage infrastructure state
  • Cloud platforms : AWS (EC2, S3, RDS, VPC, IAM, Lambda, Glue, Lakeformation) and Azure (VMs, App Services, Blob Storage, Cosmos DB, networking)
  • Python programming : scripting, automation, API integration, and tooling development
  • Snowflake : operational knowledge of warehouse management, cost optimization, and cloud integration
  • Git / GitLab / GitHub : version control, branching strategies, and repository management
  • Linux / Unix system administration and command-line proficiency
  • Networking fundamentals : VPCs, subnets, security groups, DNS, load balancing
  • Scripting languages : Bash, Python, or similar for automation
  • 5+ years in DevOps, Platform Engineering, or Infrastructure Engineering
  • 3+ years hands-on with Terraform and Infrastructure as Code
  • 3+ years with CI / CD tools (Jenkins, GitLab CI, Azure DevOps, or similar)
  • 2+ years with configuration management tools (Ansible, Puppet, or similar)
  • 2+ years supporting cloud platforms (AWS and / or Azure in production)
  • 1+ years with Python automation and scripting
  • Experience supporting or integrating with Snowflake or modern data warehouses

CORE COMPETENCIES :

  • Strong automation mindset : identify and eliminate manual toil
  • Systems thinking : understand full deployment pipelines and infrastructure dependencies
  • Problem-solving and troubleshooting skills
  • Clear communication with both technical and non-technical stakeholders
  • Detail-oriented with focus on reliability and repeatability
  • Comfortable with continuous learning of new tools and cloud services
  • Collaborative approach to working with data engineering teams
  • Ability to balance speed of delivery with stability and safety
  • Salary Range- $100,000-$110,000 a year #LI-SP3 #LI-VX1

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