Nilesh Sahitya

Software Engineer

Gurugram, Haryana, India5 yrs 2 mos experience

Key Highlights

Implemented scalable systems improving efficiency by 40%.
Designed fraud detection reducing cases by 75%.
Optimized deployments achieving 20% cloud cost savings.

Stackforce AI infers this person is a DevOps-focused engineer with expertise in scalable systems and microservices architecture.

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Skills

Core Skills

DevopsMicroservices

Other Skills

AJAXAPI developmentAWSAWS ECSAdmin DashboardAmazon EKSAmazon Web Services (AWS)AnsibleBootstrapBootstrappingCC++CPPCascading Style Sheets (CSS)CloudWatch

About

With 4 years of experience, I have honed my skills in building scalable systems and products from scratch. Throughout my career, I have had the opportunity to work with a wide range of tools and technologies, and I am currently focusing on the DevOps field. One of my key achievements has been my ability to clearly understand requirements and deliver solutions that are both scalable and reusable. I have also been recognized for my commitment to documentation, ensuring that every requirement is thoroughly documented. In my previous roles, I have primarily worked on the platform side, with a particular focus on building systems that are scalable and efficient. I am always looking for new challenges and opportunities to learn and grow, and I am excited about the prospect of contributing my skills and expertise to new projects and teams.

Experience

5 yrs 2 mos

Total Experience

1 yr 3 mos

Average Tenure

Current Experience

Gokwik

SDE-2

Oct 2024 – Apr 2025 · 6 mos · Gurugram, Haryana, India · On-site

Probo

Software Engineer

Nov 2021 – Oct 2024 · 2 yrs 11 mos · Gurugram, Haryana, India · On-site

Scalable Notification System: Implemented a scalable notification architecture for sending notifications to hundreds of thousands of users, improving delivery rates and minimizing service interruptions during high traffic.
Fraud Detection System: Designed and deployed a fraud detection system that reduced reported fraud cases by 75%, automating real-time monitoring of user behavior and transactions.
Unified Monitoring & Alerting: Integrated CloudWatch, Prometheus, Grafana, and Kibana, enabling proactive scaling decisions and rapid anomaly detection.
RabbitMQ Clustering: Configured RabbitMQ clustering for high availability and scalability, ensuring reliable message delivery even during node failures and high traffic volumes.
Job Scheduling System: Developed an in-house job scheduling system that automates routine tasks, enhancing system performance and reducing manual effort.
Resilient Service Orchestration: Optimized AWS ECS and Kubernetes deployments, ensuring high availability, zero-downtime releases, and achieving 20% cloud cost savings.

Scalable Notification SystemFraud Detection SystemUnified Monitoring & AlertingRabbitMQ ClusteringJob Scheduling SystemResilient Service Orchestration+2

Dozee

Software Engineer

May 2021 – Nov 2021 · 6 mos · Bangalore Urban, Karnataka, India · On-site

Admin Dashboard for 300+ Hospitals: Developed a full-stack (ReactJS, Go) admin dashboard, enhancing operational efficiency by 40% through streamlined hospital, ward, and device management.
One-Click Deployment Pipeline: Designed and implemented a Terraform + Python-based deployment pipeline for microservices, reducing deployment time by 60% and optimizing cloud costs.
Performance Optimization: Implemented caching and indexing strategies in Go, cutting patient report generation time in half and improving overall system responsiveness.
Scalable Analytics Solution: Built an Elasticsearch-powered analytics platform, increasing product insights by 30% and enabling real-time data-driven decision-making.

Admin DashboardOne-Click Deployment PipelinePerformance OptimizationScalable Analytics SolutionDevOpsMicroservices

Tywar

Software Engineer

Jan 2020 – Apr 2021 · 1 yr 3 mos · Udaipur, Rajasthan, India · Remote

Designed and developed a service application that enabled users to access and choose from a variety of services, such as repairing or appliances, in their local area. In this project, I was responsible for designing the database schema and building robust APIs using NodeJS. Additionally, I ensured that the API documentation was accurate and up-to-date by documenting the API endpoints using Swagger. Through my work, I was able to create a seamless user experience and ensure that the application was reliable, scalable, and easy to use.