Varshitha GR
@varshithagr
Senior software engineer building scalable distributed backend systems and production AI/GenAI pipelines.
What I'm looking for
I’m a Senior Software Engineer with 11.5 years of hands-on experience building and delivering highly scalable distributed systems, microservices, and event-driven architectures on Amazon Web Services (AWS). I focus on system design, code quality, performance optimization, and reliability—especially in high-throughput backend environments.
At Saks Global (Hudson's Bay Company), I architected and built AWS microservices (ECS/EKS) with Apache Kafka processing 1M+ daily transactions (5M+ peak), designing for high availability, fault tolerance, and reliability. I also integrated AI/GenAI into production backend systems by building a RAG-based LLM pipeline using HuggingFace Transformers for support automation.
I lead engineering through system design and code reviews, setting standards and mentoring engineers on distributed systems, ML integration, and cloud-native practices. I own system reliability and observability, maintaining 99%+ platform availability through Datadog monitoring and providing Level 3 (L3) production support with SLA adherence.
I’ve driven measurable outcomes by reducing integration latency by 20-30% through performance analysis and legacy re-engineering, and by accelerating GenAI tooling adoption via PoC evaluations. Earlier at Tata Consultancy Services, I built enterprise-grade integration systems using IBM IIB and IBM MQ, modernizing legacy batch to event-driven architectures and earning early promotion and multiple performance awards.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Saks Global (Hudson's Bay Company)
Feb 2021 - Feb 2026 (5 years)
Architected scalable AWS microservices on ECS/EKS with Apache Kafka, processing 1M+ daily transactions (5M+ peak) via fault-tolerant, event-driven architectures. Integrated RAG/LLM support pipelines, reduced integration latency by 20–30%, and maintained 99%+ platform availability with Datadog monitoring and L3 production support.
Designed and built enterprise integration systems for a UK retail client using IBM IIB and IBM MQ, processing millions of daily transactions across POS, e-commerce, WMS, and supplier orchestration. Modernized legacy batch to event-driven architectures, reducing reconciliation time by 40% and improving throughput by 20–30%, while serving as technical lead during a 2-year on-site engagement.
Education
Degrees, certifications, and relevant coursework
NITTE Meenakshi Institute of Technology
Bachelor of Engineering (B.E.), Computer Science and Engineering
Grade: 9.48/10
Earned a Bachelor of Engineering (B.E.) in Computer Science and Engineering from NITTE Meenakshi Institute of Technology, graduating in 2014 (GPA: 9.48/10).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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