Aman Kumar

Backend Engineer

Bengaluru, Karnataka, India1 yr 5 mos experience

Key Highlights

Expert in backend APIs and scalable systems.
Proficient in Docker and containerized applications.
Strong focus on real-time communication and observability.

Stackforce AI infers this person is a Backend Engineer specializing in scalable SaaS solutions and real-time data processing.

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Skills

Core Skills

Backend ApisDockerDjangoGraphql

Other Skills

Shell ScriptingApplication VirtualizationWebRTCNGINXFluent BitRedisApi serverAutomationKubernetesDjango REST FrameworkPython (Programming Language)C++Google Cloud Platform (GCP)Hypertext Transfer Protocol (HTTP)

About

Backend Engineer focused on scalable systems and real-time applications. At Harman, I work on containerized systems (Docker), backend APIs, and system reliability — including observability, automation, and real-time communication (WebRTC). Interested in distributed systems and backend engineering. Tech: Python, Docker, Linux, WebRTC, NGINX, PostgreSQL, Django, JavaScript, Shell

Experience

1 yr 5 mos

Total Experience

1 yr 5 mos

Average Tenure

1 yr 5 mos

Current Experience

Harman international

Associate Software Engineer

Jan 2025 – Present · 1 yr 5 mos · Bengaluru, Karnataka, India · On-site

Led POC, virtualization, and integration of CAN-based communication tooling using SIL Kit, now used across customer environments for simulation workflows
Designed and implemented an API server for containerized targets, enabling direct backend and customer interaction with pods, replacing WebRTC-based communication and improving performance and API coverage
Built and standardized a virtualized communication layer for consistent inter-service interaction and testing across environments
Developed backend APIs (Fastify) behind NGINX for scalable multi-service communication
Optimized Docker-based virtual environments, reducing startup time and resource usage
Debugged and resolved WebSocket communication issues in containerized systems, restoring real-time data flow
Built configuration validation framework, improving system reliability
Implemented centralized logging (Fluent Bit), improving observability and debugging efficiency
Developed automation using Python and Shell scripting to reduce manual effort
Working fault-tolerant communication/recovery mechanisms