Amogh N Rao

Software Engineer

Bengaluru, Karnataka, India1 yr 8 mos experience

Key Highlights

Expert in building scalable, data-driven applications.
Proficient in real-time data processing and microservices architecture.
Strong background in cloud infrastructure and CI/CD practices.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in real-time data processing and microservices.

Contact

Skills

Core Skills

Spring BootReactJavaKafkaPythonDocker

Other Skills

Google Kubernetes Engine (GKE)PostgreSQLFlinkReact.jsKafka StreamsAirflowBigQueryTerraformSQLSpring FrameworkKubernetesConfluent CloudApache AirflowRedisGoogle Cloud Platform (GCP)

About

I’m a software engineer focused on building scalable, data-driven applications across backend systems, real-time pipelines, and modern web interfaces. Over the past couple of years, I’ve worked across the stack — designing microservices with Spring Boot, building real-time data pipelines using Kafka and Flink, and developing user-facing applications with React. I enjoy working on systems that process high-volume data and turn it into meaningful, real-time insights. My work has involved building event-driven systems, optimizing backend performance, and owning end-to-end deployments on cloud infrastructure using Kubernetes, Terraform, and CI/CD pipelines. I’ve also worked closely with cross-functional teams to translate business requirements into reliable and scalable technical solutions. I’m currently looking for backend or full-stack (backend-heavy) roles where I can work on distributed systems, real-time data processing, and high-impact product development.

Experience

1 yr 8 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 8 mos

Current Experience

Confluent

3 roles

Software Engineer

Promoted

Aug 2025 – Present · 8 mos · Bengaluru · Hybrid

Customer Intelligence Platform
Built a web interface for AI-enabled real-time analysis of customer usage, empowering the Sales team with actionable insights.
Engineered efficient real-time data pipelines using Kafka connectors, Flink SQL, and consumers to ingest event data into PostgreSQL; managed deployment using Terraform.
Developed modular and reusable frontend components using React and Tailwind CSS to visualize customer usage and real-time events.
Designed and implemented scalable microservices using Spring Boot to expose secure backend APIs; improved API performance by ~97% through data pre-aggregation in PostgreSQL and scheduled jobs.
Refactored the repricing and discounting logic in the customer commit estimation system using SOLID principles and the Strategy design pattern in GoLang, reducing development time for new features by ~50%.

Google Kubernetes Engine (GKE)Spring BootReact

Associate Software Engineer

Jul 2024 – Jul 2025 · 1 yr · Bengaluru · Hybrid

Developed a Slack bot for the Sales team to deliver real-time customer usage events and weekly summaries; implemented user subscription management using Kafka Streams and cache for efficient event-subscription joins.
Deployed the Slack bot along with Kafka Streams, producers, and consumer services on Google Kubernetes Engine (GKE); used Kustomize to manage environment-specific (dev/prod) configurations via CI/CD pipelines, reducing deployment time from ~30 minutes to ~5 minutes.
Data infrastructure:
Built scalable and fault-tolerant ETL pipelines using Python, Airflow, and BigQuery to automate data ingestion and transformation across sources such as YouTube, Meetup, and LinkedIn.

JavaReact.jsKafka

Software Engineer Intern

Jan 2024 – Jul 2024 · 6 mos · Bengaluru · Hybrid

- Developed a real-time data pipeline for PagerDuty using a custom Kafka Source Connector (BYOC) for ingestion and Flink SQL for stream processing; handled infrastructure provisioning and deployment through Terraform.

kafkaJavaKafka

Silicon labs

Infrastructure Software Intern

Jun 2023 – Aug 2023 · 2 mos · Hyderabad, Telangana, India · On-site

Developed a reservation notifier using python and kafka to reduce the waiting time of reserving a test bed. Made use of event driven microservices architecture. Performed unit testing using pytest.
Worked on building a reverse-proxy to allow users from outside company network to push and pull docker images.

dockerSQLPythonDocker