Senior DevOps Engineer (Unix & Automation)
Coralai · Pune · hybrid · Posted 57d ago
About a minute. You'll make an account on the way through.
About this role
We are looking for an experienced Senior DevOps Engineer with 5 to 7 years of hands-on expertise in DevOps practices, robust Unix/Linux scripting, and modern infrastructure automation tools.
In this role, you will design, automate, and maintain critical build, deployment, and operational pipelines. You will collaborate closely with development and operations teams to enhance system reliability, streamline deployment workflows, and automate enterprise workload scheduling. Hands-on experience with Ansible, Terraform, and Python is required, while experience with IBM Tivoli Workload Scheduler (TWS) / HCL Workload Automation is a strong advantage.
Technical Expertise:
- DevOps & CI/CD: 57 years of experience with enterprise DevOps practices, containerization (Docker, Kubernetes), and CI/CD tools (Jenkins, GitLab CI, Azure DevOps, or GitHub Actions).
- Unix/Linux Scripting: Advanced proficiency in Unix/Linux operating systems, administration, and Shell scripting (Bash, KSH, or ZSH).
- Automation & Configuration Management:
- Hands-on expertise in Ansible for configuration management and orchestration.
- Hands-on expertise in Terraform for infrastructure provisioning.
- Programming: Proficiency in Python for building custom automation tools, scripting, and interacting with APIs.
- Version Control: Deep understanding of Git branching strategies, release management, and code repository management.
Education & Experience:
- Bachelors degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience).
- 5 to 7 years of progressive experience in DevOps, Systems Administration, or Site Reliability Engineering (SRE).
Preferred / Advantageous Skills:
- Tivoli Workload Scheduler (TWS): Practical experience configuring, managing, or migrating IBM Tivoli Workload Scheduler / HCL Workload Automation (HWA) job streams.
- Cloud Platforms: Experience with Oracle cloud, AWS, Azure, or GCP cloud services and managed resources.
- Monitoring Tools: Familiarity with enterprise monitoring platforms (Prometheus, Grafana, Datadog, or Splunk).
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