Doyensys
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Location: Remote (But need to local to OH)
Duration: 6+ Months
Candidate must work on EST Time Zone
Job Description
We are seeking an experienced DevOps Engineer to join our team in supporting and automating both on-premises and cloud-based infrastructures. This role focuses on building resilient, self-sustaining systems that can scale efficiently while minimizing downtime. The ideal candidate is a strong troubleshooter, a proactive problem solver, and a passionate automation enthusiast who thrives in collaborative environments and takes ownership of their work.
Requirements
Strong experience designing and maintaining CI/CD pipelines, especially in Harness.IO
Hands-on experience with GitHub Actions, Azure DevOps, and Jenkins
Proficient in infrastructure as code tools, including Terraform
Advanced knowledge of Kubernetes and Rancher for container orchestration
Experience working in both Azure cloud and on-prem environments
Familiarity with Databricks and common programming/scripting languages
Proficient in UNIX OS, shell scripting, and working with IBM AIX systems
Understanding of RPAS architecture and folder structure for OnPrem deployments
Familiarity with ServiceNow and JIRA for incident and story tracking
Experience with ELK Stack (Logstash, Kibana) for log aggregation and monitoring
Strong communication, collaboration, and problem-solving skills
Motivated to take on new challenges and quickly adapt to evolving technologies
Key Responsibilities
Design, implement, and maintain automated CI/CD pipelines using Harness.IO
Create and manage infrastructure as code using Terraform
Automate workflows and integrate tools using GitHub Actions and Azure DevOps
Deploy, manage, and troubleshoot containerized applications using Kubernetes and Rancher
Support incident management and development workflows through ServiceNow and JIRA
Write and maintain shell scripts to support infrastructure tasks
Monitor and analyze logs using ELK Stack components
Collaborate across multiple teams to support deployment efforts and optimize infrastructure
Contribute to architectural decisions that support resiliency and scalability
Support and maintain systems within Unix and IBM AIX environments
Engage in continuous learning to improve tools, processes, and infrastructure performance
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