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Niche AIOps focus plus non-metro onsite and lesser-known employer lowers competition.
AIOps and observability specialization reduces transferability, while core DevOps skills remain somewhat portable.
Explicit 3–5 years plus many mandatory technical and AI/AIOps skills increases filtering.
Develop and deploy AI-powered solutions to enhance system reliability, automate incident response, and optimize enterprise operations.
Build AI-driven capabilities for anomaly detection, predictive analytics, root cause analysis, and intelligent operational insights across applications, databases, and cloud infrastructure.
Design and optimize enterprise observability and automation solutions using AI/ML, LLMs, and modern observability platforms.
3-5 years of experience in AIOps, DevOps, or related enterprise operations roles.
Bachelor’s degree in Computer Science, IT, AI, Data Science, or related field.
Strong programming skills in Python, SQL, Shell scripting, REST APIs, and automation frameworks.
On-site work location: Vadodara, Gujarat, India.
Experience in developing and deploying AI/ML models specifically for operational intelligence tasks like anomaly detection, predictive analytics, and log analysis.
Hands-on with enterprise observability tools such as Grafana, Prometheus, OpenTelemetry, Elastic/OpenSearch, Splunk, Datadog, or Dynatrace.
Familiarity with cloud and container technologies (AWS preferred), Infrastructure as Code, CI/CD pipelines, and collaborating across infrastructure, DevOps, database, and application teams.