SRE Devops AI Engineer

About the Role

As part of our operational transformation, we are enhancing AI-related skill alignment within our engineering team. We are looking for a dynamic SRE / DevOps Engineer who has strong adaptability and hands-on experience in SRE BAU Operations, CI/CD, DevOps, Monitoring, and AI-driven automation. This role will play a key part in strengthening platform reliability while leveraging modern AI tools such as CursorAI, Generative AI models, and automation frameworks.

Key Responsibilities

• Handle SRE BAU (Business-As-Usual) operations including incident management, problem resolution, root-cause analysis, and service restoration.
• Manage and maintain CI/CD pipelines and deployment automation across environments.
• Drive operational excellence through DevOps practices, infrastructure automation, and system optimization.
• Implement and monitor observability tools (logging, metrics, alerting, dashboards).
• Utilize AI tools (CursorAI, Generative AI, automation copilots) to accelerate troubleshooting, documentation, code generation, and incident analysis.
• Improve platform reliability, scalability, and performance through automation and proactive monitoring.
• Collaborate with engineering, product, and security teams to ensure smooth releases and secure infrastructure.
• Contribute to reducing manual operational work through AI-assisted solutions and scripting.

Required Skills & Experience

Core Skills

• Strong hands-on experience with SRE or DevOps operations
• Expertise in CI/CD tools (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, etc.)
• Experience in monitoring & observability (Grafana, Prometheus, Splunk, ELK, Datadog, New Relic, etc.)
• Good understanding of cloud platforms (AWS / Azure / GCP)

AI & Automation

• Practical usage of AI tools in daily engineering workflows (CursorAI, ChatGPT, GenAI, automation assistants)
• Ability to identify repetitive tasks and automate them using AI or scripting
• Familiarity with AI-driven troubleshooting and documentation tools

Scripting & Automation

• Proficiency in Python, Bash, PowerShell, or similar scripting languages
• Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, ARM, Ansible (preferred but not mandatory)

Preferred Qualifications

• Experience in supporting production environments with on-call rotations
• Understanding of containerization and orchestration (Docker, Kubernetes)
• Knowledge of system performance tuning and capacity planning
• Experience integrating AI into operational workflows or automation pipelines

What We Expect

• Strong adaptability and willingness to learn new tools quickly
• Ability to leverage AI tools to enhance productivity and reduce effort
• Ownership mindset, strong problem-solving skills, and continuous improvement attitude
• Excellent communication and cross-team collaboration skills