Sr DevOPS Engineer
Job Type:- Fulltime
Position:- Sr DevOPS Engineer (Snowflake, DBT and Qlik)
Location:- Remote/Hybrid- only from Raleigh, NC | Phoenix, AZ | Dallas, TX
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
Position:- Sr DevOPS Engineer (Snowflake, DBT and Qlik)
Location:- Remote/Hybrid- only from Raleigh, NC | Phoenix, AZ | Dallas, TX
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
