Neelesh Thakur

NT

Open to opportunities

Neelesh Thakur

@neeleshthakur

Backend Software Engineer focused on distributed systems, low-latency data workflows, and scalable service architecture.

What I'm looking for

I’m looking for a backend role where I can build distributed systems with measurable performance impact—owning low-latency data workflows, reliability improvements, and observability end to end in a team that values clean architecture and iteration.

I’m a Backend Software Engineer building distributed services for large-scale data access and workflow processing. At Goldman Sachs (SDE-II), I designed and enhanced backend services processing 200M+ records daily, achieving 15% lower end-to-end latency.

Previously at VMware R&D (Software Engineer-I), I developed backend automation and control-plane services for large-scale cloud and SDDC platforms, improving monitoring and remediation coverage by 30%. I also designed workflow orchestration and state management with Java, Python, and MySQL, reducing cross-system failures by 40%, while maintaining 15+ production Jenkins pipelines.

I enjoy translating systems design into reliable, measurable performance—whether through multithreaded Spark workloads, secure patch deployment automation, or distributed notification services. My projects and work reflect a strong engineering ethos: modular architecture, rigorous performance tuning, and production-grade observability (Prometheus/Grafana), reinforced by a “At Our Best” VMware award.

Experience

Work history, roles, and key accomplishments

GS

Current

SDE-II Backend Engineer

Current

Goldman Sachs

Nov 2024 - Present (1 year 6 months)

Designed and enhanced backend services for large-scale data access workflows processing 200M+ records daily, achieving 15% lower end-to-end latency. Built an asynchronous Spring Boot service integrating Trino with multiple storage backends (SFX, HDFS, FTP), improving data retrieval performance by 20%.

Java Spring Boot Trino Apache Spark Asynchronous Distributed Systems HDFS

VR

Software Engineer I

VMware R&D

Jul 2022 - Jul 2024 (2 years)

Developed backend automation and control-plane services for large-scale cloud and SDDC platforms, increasing monitoring and remediation coverage by 30%. Designed workflow orchestration and state management with Java, Python, and MySQL, reducing cross-system failures by 40%, and reduced manual intervention by 50% through remediation logic and orchestration workflows.

Java Python MySQL Workflow Orchestration State Management Jenkins Cloud Automation

Education

Degrees, certifications, and relevant coursework

LS

Lakshmi Narayan College of Technology and Science

Bachelor of Technology, Computer Science Engineering

2018 - 2022

Grade: CGPA: 8.74

Earned a BTech in Computer Science Engineering from Lakshmi Narayan College of Technology and Science, completing the program from 2018 to 2022. Achieved a CGPA of 8.74.

Tech stack

Software and tools used professionally

Apache Spark

GitHub

Kubernetes

Jenkins

GitHub Actions

MySQL

MongoDB

Gmail

Rollout

Node.js

Spring Boot

Redis

Java

Kafka

Grafana

Prometheus

VMware vSAN

Plane

Trino

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