Job Title: DevOps / SRE Engineer (Cloud & AI Platforms)
Job Description
We are looking for a highly skilled DevOps/SRE Engineer with strong experience in automating, optimizing, and scaling infrastructure across on-premises and cloud-native environments. The ideal candidate will have expertise in CI/CD, cloud platforms, Kubernetes, Infrastructure as Code, monitoring, incident management, and AI/MLOps enablement.
Required Skills
- Strong hands-on experience with Jenkins, GitHub, and Azure DevOps.
- Expertise in AWS, Azure, or PCF cloud platforms.
- Experience with Terraform, Docker, Kubernetes, and Nginx.
- Knowledge of monitoring and incident management tools such as Grafana, PagerDuty, and ServiceNow.
- Experience with Python and Shell/Bash scripting.
- Familiarity with AI/ML platform integrations including Azure AI GPT and Google Gemini.
- Working knowledge of JIRA, Confluence, SharePoint, VS Code, PyCharm, and Insomnia.
- Strong understanding of DevOps, SRE principles, automation, observability, and cloud-native architectures.
Preferred Qualifications
- Experience in enterprise-scale distributed systems and production support.
- Exposure to GitOps, AI/MLOps, and self-healing infrastructure.
- Strong troubleshooting, communication, and collaboration skills.
Employment Type
Full-Time
