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Sr DevOPS Engineer
Job in
Raleigh, Wake County, North Carolina, 27601, USA
Listed on 2026-02-16
Listing for:
NuStar Technologies
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
Cloud Computing, Systems Engineer
Job Description & How to Apply Below
Overview
Sr DevOPS Engineer (Snowflake, DBT and Qlik)
Responsibilities- CI/CD tools:
Azure Dev Ops Pipelines or Git Lab 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, Lake formation) 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/Git Lab/Git Hub: 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 Dev Ops, Platform Engineering, or Infrastructure Engineering
- 3+ years hands-on with Terraform and Infrastructure as Code
- 3+ years with CI/CD tools (Jenkins, Git Lab CI, Azure Dev Ops, or similar)
- 2+ years with configuration management tools (Ansible, Puppet, or similar)
- 2+ years supporting cloud platforms (AWS and/or Azure in production)
- 1+ year with Python automation and scripting
- Experience supporting or integrating with Snowflake or modern data warehouses
- 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
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