DevOps Engineer

Siri InfoSolutions Inc

Columbus, OH, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

dice.com

Tech stack

Kubernetes Security Microsoft Azure Bash Shell Cloud Computing Cloud Engineering Continuous Integration DevOps Monitoring of Systems Python (Programming Language) Performance Tuning Windows PowerShell Prometheus

+16 more

Azure DevOps Pipelines Software Deployment Software Systems Systems Integration Datadog Data Logging Scripting Delivery Pipeline Grafana Reliability of Systems Containerization Kubernetes Infrastructure Automation Frameworks Terraform Splunk Vulnerability Analysis

Job description

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, Terraform-based infrastructure, containerization, and Kubernetes, with strong emphasis on monitoring, logging, and system reliability., * 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.
Cross-Functional Collaboration - Partner with development, QA, and platform teams to ensure smooth delivery and operational excellence.

Requirements

Azure Cloud - Hands-on experience with Azure DevOps, Azure services, and cloud-native 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., * 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.