Yash Verma

Senior Software Engineer

Gurugram, Haryana, India6 yrs 10 mos experience

AI EnabledHighly Stable

Key Highlights

Architected systems serving 8.5M+ daily users.
Achieved 99.9% uptime with zero tolerance for downtime.
Reduced deployment errors by 60% through automation.

Stackforce AI infers this person is a Backend Engineer specializing in Telecommunications with a focus on high-availability systems.

Contact

verma.yash23.yv@gmail.com LinkedIn

Skills

Core Skills

MicroservicesDistributed SystemsContinuous Integration And Continuous Delivery (ci/cd)Systems DesignApi DevelopmentApi Performance Optimization

Other Skills

java 21Spring BootAerospikeJenkinsDockerDroolsJavaREST APIsGrafanaKibanaNeo4jDocker & ContainersMicroservices ArchitectureApache KafkaSpring Framework

About

I architect backend systems. Millions use them daily. 3+ years at Bharti Airtel. Shipped production systems that don't break: → EPC Sync Validator — 5 days to 2 hours validation (96% faster). Freed 3 FTEs. → Router Diagnostics API — 2,000+ engineers. 30% faster issue resolution. 25% fewer escalations. → ATOM Order Platform — 8.5M+ daily users. 99.9% uptime. Zero tolerance for downtime. Core skills: Microservices · Distributed Systems · Low-latency APIs · Event-driven Architecture · Scaling under load Tech: Java · Spring Boot · Kafka · Aerospike · AWS · Docker · Neo4j What I obsess over: Reliability. Performance. Systems that don't wake you up at 3am. Open to backend roles with real scaling problems — teams that care about system design, production reliability, and shipping things that actually work at scale. Let's talk: system design · microservices patterns · scaling challenges · production reliability DM me.

Experience

6 yrs 10 mos

Total Experience

4 yrs

Average Tenure

3 yrs 7 mos

Current Experience

Airtel

2 roles

Senior Software Engineer

Promoted

Jun 2025 – Present · 1 yr

Architected Aerospike-based distributed caching layer reducing redundant API calls by 40% and improving peak-load latency by 35%; served 8.5M+ daily orders with 99.9% availability
Designed Spring Boot microservices with JMS-based async processing, increasing system throughput by 2.3x and reducing order processing latency from 3.2s → 1.8s for 100K+ daily transactions
Automated CI/CD pipelines using Jenkins + Docker, reducing deployment errors from 8.2% → 3.2% (60% reduction) and cutting mean-time-to-deployment from 45min → 18min
Designed Drools-based reconciliation engine achieving 100% Day-1 profile synchronization across telecom billing nodes; eliminated 160 manual monthly hours (freed 3 FTEs for revenue work)
Led infrastructure optimization consolidating 12 redundant microservices into 3 scalable event-driven services; saved $120K annual cloud costs while improving API response times by 40%
Mentored 4 junior engineers on microservices design patterns and production-grade coding practices; 3 promoted within 12 months

java 21Spring BootAerospikeJenkinsDockerMicroservices+1

Software Developer

Nov 2022 – Present · 3 yrs 7 mos

Engineered REST API layer for MyWiFi self-care features integrated into Airtel Thanks App, acquiring 8M+ users within 6 months; drove $2.3M incremental revenue through reduced support tickets
Built and scaled provisioning microservices handling 3.2M+ daily requests with 99.97% success rate; designed auto-retry + exponential backoff logic reducing failed provisioning attempts by 87%
Implemented Grafana + Kibana monitoring dashboards providing real-time diagnostics for 2,000+ support engineers; reduced MTTR (mean time to resolution) by 30% through automated troubleshooting flows
Optimized API latency through strategic caching and database indexing, improving P95 response time from 850ms → 320ms; increased throughput capacity by 150% without scaling infrastructure
Automated troubleshooting workflow engine reducing manual support requests by 14% (420 tickets/month) and freeing 1.5 FTEs; improved customer satisfaction score by 18 NPS points
Designed failure recovery mechanisms reducing unplanned downtime by 95%; documented incident playbooks used by entire support team (200+ engineers)

java 21JavaMicroservicesAPI Development