DevOps Engineer with Databricks

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