Senior Software Engineer, AIOps and Observability

About this kind of role

What a Senior Software Engineer, AIOps and Observability usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and tests software solutions focused on Artificial Intelligence for IT Operations (AIOps) and observability platforms. This includes building tools for automated incident management, performance monitoring, and root cause analysis. Responsibilities often involve integrating various data sources, creating machine learning models, and ensuring the scalability and reliability of these systems. Senior engineers mentor junior team members and contribute to architectural decisions.

Tools and skills: Proficiency in programming languages like Python or Java, experience with cloud platforms (AWS, Azure, or Google Cloud), familiarity with machine learning frameworks (TensorFlow, PyTorch), and strong knowledge of observability tools (Prometheus, Grafana, Datadog) are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for leveraging AI and data analytics to improve IT operations are typically successful in this role.