Prasad Santosh
@prasadsantosh
Senior software engineer building distributed, event-driven microservices and reliability systems at scale.
IndiaWhat I'm looking for
I’m a Senior Software Engineer focused on building production-grade distributed systems and event-driven microservices. I’ve spent the last several years designing service boundaries, data-flow contracts, and scalable backend APIs that support large, real user workloads.
At T-Mobile, I built the T-Satellite subscriber platform from the ground up, scaling it from near-zero to 5M+ active users. I architected event-driven provisioning on Apache Kafka, decoupling subscriber workflows, reducing pipeline bottlenecks, and improving delivery performance and reliability through systematic reliability engineering.
I also led a monolith-to-microservices migration at TCS, improving horizontal scalability by 40% and cutting deployment cycle time by 50%. Beyond core backend development, I integrated enterprise observability tooling and deployment automation (including OpenTelemetry, Splunk, ArgoCD GitOps, and Kubernetes) to strengthen operational visibility.
I enjoy turning engineering pain points into durable automation—like building a JIRA-to-production AI development agent using Claude AI, which autonomously reads sprint tickets, implements code, runs unit tests, and syncs updates back to JIRA. I’m recognized for measurable impact and inclusive engineering practices, and I actively mentor teams by setting coding standards and improving post-deploy quality.
Experience
Work history, roles, and key accomplishments
Designed and built cloud-native microservices for T-Mobile's T-Satellite platform, owning service boundaries, API contracts, and data-flow for subscriber entitlement and feature activation. Architected event-driven provisioning on Apache Kafka, improved API performance and reliability, and led production incident resolution and reliability improvements.
Built and optimized backend microservices for T-Mobile's T-Satellite platform, including event-driven subscriber provisioning and REST API improvements. Contributed to observability integration, deployment tooling setup, and automation of delivery workflows for production operations.
Led migration from a monolithic application to a cloud-native microservices platform, improving scalability and deployment cycle time through service decoupling. Built and maintained backend APIs for an enterprise employee transportation platform and delivered real-time notifications for large-scale user updates.
Contributed to backend development and operational delivery for an enterprise employee transportation platform, including ride scheduling, real-time vehicle tracking, and operational management across deployments. Supported end-to-end release management and post-release support for production application versions.
Machine Learning Intern
Tech Fortune Technologies
Jun 2020 - Dec 2020 (6 months)
Developed and evaluated predictive machine learning models in R, including data preprocessing, feature engineering, model training, and performance evaluation on real-world datasets.
Education
Degrees, certifications, and relevant coursework
Visvesvaraya Technological University (Canara Engineering College)
Bachelor of Engineering, Computer Science & Engineering
2016 - 2020
Bachelor of Engineering in Computer Science & Engineering at Visvesvaraya Technological University (Canara Engineering College) from 2016 to 2020.
Tech stack
Software and tools used professionally
OpenAPI
Splunk
Amazon S3
GitHub
SonarQube
Kubernetes
Jenkins
GitHub Actions
DB
Spring Data
MySQL
PostgreSQL
MongoDB
Cassandra
Gmail
Spring Boot
Redis
Jira
JavaScript
Java
Fluentd
Kafka
Grafana
Prometheus
OpenTelemetry
iOS
AppDynamics
gRPC
Spring Security
Kafka Streams
JUnit
Mockito
Root Cause
SQL
Cursor
ArgoCD
GitHub Copilot
Cosmos
Task
Remote
Jan
Android
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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