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 contemporary 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

- Solid 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

📌 SRE AI Engineer (Bengaluru)
🏢 wissen technology
📍 Bengaluru