Tom Sebastian — DevOps Engineer

Backend Engineer with 8+ years of experience building scalable microservices, distributed systems, and cloud-native platforms. Currently working for Intuit on an AI-powered SRE system for automated incident triage and root cause analysis, using LLM-based multi-agent architectures (LangGraph). I develop and evaluate agent workflows that correlate logs, metrics, traces, and service dependencies to identify failures in large-scale distributed systems. Focused on Agent Evaluation — benchmarking AI-generated RCAs against real incidents, improving reasoning, tool usage, and signal correlation for production reliability. Strong experience across backend and platform engineering with Python, Java, Kafka, Kubernetes, AWS (SQS, DynamoDB, S3), and observability stacks like Splunk and Wavefront. Previously at Temenos, led cloud migrations and built event-driven microservices using Java, Spring, Apache Camel, and Kafka, deployed on Kubernetes (EKS/AKS) across AWS and Azure, delivering significant performance improvements (~90%) in enterprise applications. Interested in Distributed Systems, AI/LLM Agents, Observability, and Production-Scale Backend Engineering. 💬 Tech: Python | Java | Kafka | Kubernetes | AWS | Azure | LLM Agents | LangGraph | Splunk | Wavefront | Microservices | Distributed Systems

Stackforce AI infers this person is a Backend Engineer specializing in SaaS and Fintech with a focus on distributed systems.

Location: Bengaluru, Karnataka, India

Experience: 7 yrs 9 mos