Saroj Nayak
@sarojnayak1
Senior Site Reliability Engineer specializing in AIOps, MLOps, and autonomous incident response.
What I'm looking for
I’m a Site Reliability Engineer with 9+ years designing, scaling, and operating mission-critical, high-availability distributed systems for Fortune 500 enterprises. I bring deep expertise across SRE, DevOps, AIOps, MLOps, and Agentic AI—building LLM-powered autonomous incident response, predictive anomaly detection, GenAI-driven runbook automation, and self-healing infrastructure on cloud-native Kubernetes platforms.
Most recently at Wipro, I architected AI-driven alert correlation to cut alert noise by 55%, deployed LLM-assisted triage for 30+ incident types to reduce MTTT by 25%, and engineered an SLO/SLI/error-budget framework that sustained a 99.9% uptime SLA for a payment gateway processing $2B+ daily transactions. I’ve also reduced MTTR by 40%, improved capacity forecasting to prevent 12+ SLA breaches, and delivered significant toil elimination with automated remediation and ML-enhanced operational tooling.
Experience
Work history, roles, and key accomplishments
Enterprise RAG Chat Engine (Capstone)
Personal / Self-Directed
Jan 2025 - Present (1 year 6 months)
Designed and deployed an end-to-end Retrieval-Augmented Generation (RAG) chat engine for banking and e-commerce use cases. Built the ingestion-to-query pipeline with embeddings, vector search, LLM orchestration, a conversational UI, and cloud CI/CD, applying Azure AI and GitHub Copilot tooling.
Architected AI-driven alert correlation and LLM-assisted triage/runbook automation to reduce alert noise and speed incident response. Designed SLO/SLI frameworks and built ML-based scaling and automated remediation to improve MTTR and prevent SLA breaches for a high-transaction payment gateway.
Principal Site Reliability Engineer
Accion Labs India Pvt. Ltd.
Jan 2023 - Dec 2023 (11 months)
Introduced AI-driven incident classification and routing across 150+ applications and improved reliability through MLOps observability and toil-reduction automation. Operated Kubernetes with AI-enhanced deployment gates and built centralized observability using logging and distributed tracing.
Specialist — Infrastructure & Operations
Merck
May 2017 - Nov 2019 (2 years 6 months)
Managed enterprise collaboration platforms and improved availability through proactive monitoring and self-service automation. Led incident response and change management for globally distributed infrastructure to meet strict SLAs and delivered digital transformation initiatives.
Software Engineer — L1/L2 Support
PS Networks
Jan 2014 - Apr 2017 (3 years 3 months)
Maintained enterprise batch processing reliability and automated scheduled jobs, reducing manual toil. Performed production troubleshooting and root-cause analysis on Linux systems and supported reliability improvements through mentoring and knowledge transfer.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology (NIT) Rourkela
Executive PhD, Artificial Intelligence & Machine Learning
2026 -
Pursuing an Executive PhD in Artificial Intelligence & Machine Learning at NIT Rourkela.
Krupajal Engineering College
B.Tech, Electronics Engineering
2007 - 2011
Completed a B.Tech in Electronics Engineering at Krupajal Engineering College.
Availability
Location
Authorized to work in
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