Azure DevOps Engineer - Onsite in Columbus, Ohio W2 Position

Role: DevOps Engineer

Location: 4 Days onsite Columbus, Ohio

Job Description

Overview

We are seeking a DevOps Engineer to design, automate, and optimize our cloud infrastructure, CI/CD pipelines, and observability ecosystem. This role focuses on Azure DevOps , Terraformbased infrastructure , containerization , and Kubernetes , with strong emphasis on monitoring, logging, and system reliability .

Key Responsibilities

• Azure DevOps Pipelines — Build, maintain, and optimize CI/CD pipelines supporting application deployments and infrastructure automation.
• Infrastructure as Code — Use Terraform to provision, manage, and scale cloud resources, including containerized workloads and Kubernetes clusters.
• Containerization & Kubernetes — Implement and support container orchestration, ensuring seamless integration between software and underlying hardware.
• Observability & Monitoring — Manage and enhance the observability stack using tools such as Splunk, Datadog, Prometheus, ELK, and Grafana.
• Logging & Alerting — Configure log pipelines, dashboards, and alerting rules to ensure system reliability and rapid incident response.
• Automation — Automate repetitive tasks, environment provisioning, and deployment workflows to improve engineering velocity.
• CrossFunctional Collaboration — Partner with development, QA, and platform teams to ensure smooth delivery and operational excellence.

Required Skills & Experience

• Azure Cloud — Handson experience with Azure DevOps, Azure services, and cloudnative architectures.
• Terraform Expertise — Strong proficiency in Terraform for IaC and environment provisioning.
• Kubernetes — Experience deploying, scaling, and managing workloads in Kubernetes clusters.
• CI/CD — Proven experience building and maintaining CI/CD pipelines.
• Observability Tools — Experience with Splunk (primary), plus familiarity with Datadog, Prometheus, ELK, or Grafana.
• Scripting — Proficiency in scripting languages (e.g., Bash, PowerShell, Python) for automation and tooling.
• Systems Integration — Ability to integrate software systems with underlying hardware and infrastructure components.

Preferred Qualifications

• Container Security — Knowledge of container security best practices and vulnerability scanning.
• Monitoring Architecture — Experience designing dashboards, SLIs/SLOs, and alerting strategies.
• Performance Optimization — Ability to analyze system performance and optimize resource usage.