Neelesh Thakur
@neeleshthakur
Backend Software Engineer focused on distributed systems, low-latency data workflows, and scalable service architecture.
IndiaWhat I'm looking for
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
SDE-II Backend Engineer
Goldman Sachs
Nov 2024 - Present (1 year 7 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%.
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.
Education
Degrees, certifications, and relevant coursework
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
Availability
Location
IndiaAuthorized to work in
Social media
Job categories
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