DevOps Engineer

About the role

Optomi is hiring a DevOps Engineer to support a major insurance firm by modernizing cloud infrastructure and automating delivery workflows. You will work within a centralized engineering group to replace manual tasks with scalable automation and improve release reliability across the enterprise.

Key facts

What you'll do

• Architect and manage Azure DevOps CI/CD pipelines for enterprise software.
• Replace manual operational steps with automated, repeatable solutions.
• Write and maintain Infrastructure as Code using Terraform.
• Migrate legacy Classic Azure DevOps pipelines into YAML-based configurations.
• Automate database deployments for SQL Server and Oracle environments using Liquibase.
• Coordinate with software developers to increase deployment frequency and release quality.
• Assist with production releases every two weeks while minimizing manual work.
• Resolve pipeline errors and infrastructure bottlenecks.
• Develop scripts to simplify provisioning and deployment tasks.

Requirements

• 5+ years of professional experience in DevOps, Cloud Engineering, or Infrastructure Automation.
• Proven ability to build and manage Azure DevOps CI/CD pipelines.
• Experience transitioning Classic pipelines to YAML.
• Hands-on proficiency with Terraform for infrastructure management.
• Background in automating software releases within large-scale environments.
• Proficiency in scripting with Python, Bash, or PowerShell.
• Deep understanding of cloud infrastructure, server management, and release lifecycles.
• Ability to work independently and drive technical initiatives with little supervision.

Nice to have

• Experience using Liquibase for database deployment automation.
• Familiarity with Helm charts and cloud-native deployment strategies.

Skills & tools

• Azure DevOps
• Terraform
• YAML
• Liquibase
• SQL Server
• Oracle
• PowerShell
• Bash
• Python
• Helm

Practical notes

This role requires a hybrid presence in either Charlotte or Hartford. You will be expected to collaborate across multiple engineering teams to implement automation best practices and support ongoing production release cycles.