Dharmveer J.

Software Engineer

Bengaluru, Karnataka, India3 yrs 10 mos experience

Highly Stable

Key Highlights

Architected Java-to-Go migrations saving $30K/month.
Owner of distributed services handling 12k+ QPS.
Delivered automation systems saving ₹20L weekly.

Stackforce AI infers this person is a Backend Engineer specializing in high-scale distributed systems and automation in SaaS.

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Skills

Core Skills

Distributed SystemsMicroservicesSoftware Architectural DesignCost OptimizationAutomationBackend DevelopmentApi Development

Other Skills

Go (Programming Language)JavaApache KafkagRPCRecommendation SystemsFlaskREST APIsAWSFlask Monitoring DashboardNoSQLApache ZooKeeperProtocol BuffersGrafanaKubernetesMongoDB

About

SDE - 2 at Meesho | Building High-Scale Backend Infrastructure - Owner of distributed services handling 12k+ QPS with p99 latencies <110ms - Architected Java-to-Go migrations: 65% cost reduction ($30K/month), 50% latency improvement - Built circuit breaker patterns preventing revenue loss during system failures - Delivered automation systems saving ₹20L weekly + recommendation features contributing ₹10L+ daily revenue Technical Stack: - Languages: Go, Java, C++ - Distributed Systems: Microservices, Apache Kafka, gRPC, Protocol Buffers - Databases: MySQL, Redis, Scylla, BigTable - Cloud: AWS, GCP, Kubernetes (GKE) Competitive Programming: - LeetCode: 1879 rating (max) - Codeforces: Expert (1602 rating) Focused on building resilient, high-performance systems that scale. Open to discussing distributed systems architecture and system design challenges.

Experience

3 yrs 10 mos

Total Experience

3 yrs 10 mos

Average Tenure

3 yrs 10 mos

Current Experience

Meesho

Software Engineer 2

Jul 2022 – Present · 3 yrs 10 mos · Bengaluru · Hybrid

Go (Programming Language)JavaDistributed SystemsMicroservices

Miskaa

Software Engineer

Jun 2021 – Jul 2021 · 1 mo · Ghaziabad, Uttar Pradesh, India

Worked on the Flask Backend of a Kitchen Companion App.
Implemented REST APIs with Flask and Integrated Flask Monitoring Dashboard to monitor API endpoints performance and utilisation.
Designed a service that initiates meet recording on a self-hosted Jitsi server and stores the mp4 file in the AWS S3 cloud bucket.
Developed a configurable module to generate and send CSV reports through email and used a cron job to automate the process.
Used YouTube Data API to prepare a script in Python to import data from YouTube in JSON format and upload it to a Google spreadsheet.

FlaskREST APIsAWSBackend DevelopmentAPI Development