SRE AI Engineer

Wissen Technology; Pune District, Mumbai, Bengaluru; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

Wissen Technology in Pune invites an experienced SRE/DevOps Engineer to join our operations transformation. You will strengthen platform reliability through CI/CD, monitoring, and AI-driven automation. The role emphasizes hands-on troubleshooting, on-call readiness, and collaboration with security and product teams to ensure secure, scalable releases.

Proficiency in scripting and IaC is valued. Join us to work with modern AI tooling and drive proactive improvements across the stack while

Qualifications

• Hands-on SRE/DevOps operations in production environments.
• CI/CD experience with GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
• Monitoring/observability using Grafana, Prometheus, Splunk, Datadog, etc.
• Cloud platforms: AWS, Azure, GCP.

Responsibilities

• Handle SRE BAU 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.

Skills

SRE/DevOps operations

CI/CD tools

Monitoring & observability

Cloud platforms (AWS/Azure/GCP)

Tools

Docker

Kubernetes

Terraform

Ansible

Job description

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 workflowsor 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