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Harshit RajHR
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Harshit Raj

@rharshit82

Backend engineer specializing in high-scale Kafka pipelines, distributed systems, and observability.

India
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What I'm looking for

I seek backend or platform roles where I can build scalable distributed systems, improve observability, reduce costs, and mentor engineers in an impact-driven, collaborative team.

I am a backend engineer with three years of experience designing and operating high-scale Kafka pipelines, microservices, and observability platforms at Amazon and AdPushup. I focus on reliable, cost-efficient systems—containerizing serverless services, reducing DB footprint by 24×, and cutting cold-start latency by 40% while mentoring teammates and driving cross-team API integrations.

My work includes building a 3.2B+ daily-request Kafka feedback infrastructure, multi-threaded ingestion pipelines, real-time anomaly detection with Kafka Streams, and Prometheus+Grafana observability stacks that halved MTTR. I contribute to open source projects, build automation tools, and emphasize measurable impact in production systems.

Experience

Work history, roles, and key accomplishments

Amazon logoAM
Current

Software Development Engineer I

Oct 2025 - Present (8 months)

Built and maintained backend features for order exchange and returns, containerized large Lambda services to cut cold-start latency by 40%, and reduced DB footprint from 24GB to 600MB through compliant data purging to achieve major cost savings.

AD

Software Engineer

AdPushup

Mar 2023 - Sep 2025 (2 years 6 months)

Engineered Kafka-based feedback infrastructure processing 3.2B+ daily requests, built multi-threaded ingestion reducing report lag by 90%, and implemented observability stack that improved MTTR by 50% while delivering ad-delivery optimizations that lifted eCPM by ~20%.

Education

Degrees, certifications, and relevant coursework

KG

KIET Group of Institutions Ghaziabad

Bachelor of Technology, Computer Science and Information Technology

2019 - 2023

Grade: CGPA: 8.15

Completed a Bachelor of Technology in Computer Science and Information Technology with a CGPA of 8.15 from August 2019 to July 2023.

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