AI & DevOps Engineer

Location and work arrangement

• The position is based in Vadodara, Gujarat.
• The role is full time and onsite.

Schedule

• The position operates on evening and night shifts.
• The role sits within the IT Infrastructure department.

Job summary

Key responsibilities

• Design and deploy AI-powered solutions for reliability, incident response, and enterprise operations.
• Build capabilities for anomaly detection, event correlation, predictive analytics, root cause analysis, and operational insights.
• Automate infrastructure monitoring, database operations, performance optimization, capacity planning, and recommendations.
• Design observability solutions using metrics, logs, traces, and events.
• Develop AI-powered log analytics using machine learning, LLMs, RAG, and AI frameworks.
• Develop and maintain AI/ML models for observability, predictive operations, and IT automation.

Must-have skills

• Python, SQL, Shell scripting, REST APIs, Infrastructure as Code, and CI/CD practices.
• Enterprise database administration, observability, automation, and artificial intelligence.
• AI/ML, LLMs, and AI agents for AIOps and intelligent IT operations.
• Automation for monitoring, anomaly detection, log analytics, predictive operations, incident response, and root cause analysis.

Job requirements

• Bachelor’s degree in computer science, information technology, artificial intelligence, data science, or a related field.
• Three to five years of experience in AIOps, DevOps, or related enterprise operations roles.
• Hands-on AI/ML solution development and deployment for AIOps, observability, automation, or intelligent IT operations.
• Experience with ML models for anomaly detection, predictive analytics, log analysis, event correlation, and operational intelligence.
• Experience with LLMs, RAG, AI agents, MCP, LangChain, or similar AI frameworks.
• Knowledge of AI deployment, MLOps, model lifecycle management, and operational AI pipelines.
• Strong experience with enterprise observability platforms such as Grafana, Prometheus, OpenTelemetry, Elastic/OpenSearch, Splunk, Datadog, or Dynatrace.
• Exposure to Kubernetes, Docker, cloud infrastructure, on-premises environments, and enterprise databases.
• Experience with Terraform, Ansible, or equivalent Infrastructure as Code tools, CI/CD pipelines, and automation tools.
• Strong analytical, troubleshooting, problem-solving, communication, and collaboration skills.

Good-to-have skills