Description

You will design and implement architectural frameworks to improve enterprise observability, performance, and system reliability.

This role is on-site.

Responsibilities

• Design, prototype, and document technical solutions that improve system resilience and operational predictability.
• Publish technology strategies and observability standards to support AI/MLOps maturity.
• Develop Observability Driven Development procedures using open standards like OTel and MELTS.
• Implement full-stack reliability patterns and monitoring standards for scalability and availability.
• Create AI-augmented testing strategies to enable federated execution and enterprise governance.

Required Skills

• 5+ years of experience in engineering or architectural roles.
• Deep expertise in AI-Ops and AI/MLOps practices.
• Strong background in Observability and SRE engineering.
• Experience with open standards including OTel and MELTS.
• Proven ability to translate business requirements into technical diagnostic and descriptive designs.
• Experience establishing monitoring and alerting standards for large-scale systems.
• Ability to develop training and documentation for enterprise-wide knowledge transfer.

Preferred Skills

• Experience in designing integration patterns for prescriptive disruption response.

Key Skills

Education

Any Graduate