What you’ll be doing:

• Design, develop, and implement AIOps solutions to enhance IT operations efficiency and effectiveness, including automation, anomaly detection, event correlation, and root cause analysis.

• Collaborate with cross-functional teams (e.g., DevOps, SRE, Infrastructure) to integrate AIOps tools and methodologies into existing workflows.

• Build and maintain machine learning models for predictive analysis, capacity planning, and performance optimization.

• Develop dashboards and reporting mechanisms to provide actionable insights into IT infrastructure and application health.

• Stay abreast of emerging technologies and trends in the AIOps domain and recommend innovative solutions.

• Leverage GenAI solutions to automate operational activities to optimize operations cost enabled with Self or Auto healing solutions

• Mentor and guide junior team members in AIOps principles and best practices.

What we’re looking for:

• A passion for leveraging AI and ML to transform IT operations.

• Strong analytical and problem-solving skills with a data-driven mindset.

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

• A proactive and self-directed individual with a strong sense of ownership.

• Adaptability and eagerness to learn and apply new technologies.

You’ll need to have:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field

• Four or more years of experience in IT operations, DevOps, or a related field.

• Proficiency in programming languages such as Python, Java.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Even better if you have one or more of the following:

• Proven experience with AIOps platforms and tools (e.g., Moogsoft, Splunk, Dynatrace).

  • Strong understanding of machine learning algorithms and their application in IT operations.