Backend Engineer (Go)

MavensTCL

Job Location:

Garhwa - India

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Role Summary

You will own Valuwares high-concurrency services: Cloud Resource Exchange Compute Barter Network Bandwidth Exchange and WebSocket gateways for real-time tracking and chat. Your code will handle thousands of concurrent connections with sub-100ms latency enabling peer-to-peer resource trading at enterprise scale.

Key Responsibilities / Duties

Development

Build high-performance services using Go (Gin/Fiber)

Implement WebSocket servers for real-time:

Live order tracking for hardware shipments

Consultant-client chat for M25 engagements

Talent location updates for onsite tracking

Develop cloud resource provisioning integrations (AWS Azure GCP APIs)

Build the Compute Barter matching engine (M8)

Implement bandwidth utilization metering (M9)

Concurrency and amp; Performance

Design goroutine-safe data structures

Implement rate limiting and circuit breakers

Optimize for high throughput (10k RPS per pod)

Manage WebSocket connection lifecycles

Implement graceful shutdown and connection draining

Integration

Build gRPC services for inter-service communication

Integrate with PostgreSQL (using pgx or GORM)

Implement Redis Pub/Sub for cross-pod messaging

Connect to Kafka for event streaming

Required Skills and amp; Qualifications

Must-Have (5 years overall)

SkillProficiencyNotes

Go4 yearsConcurrency patterns goroutines channels

WebSockets2 yearsGorilla/WebSocket or native net/http

PostgreSQL3 yearsGORM or pgx

Redis3 yearsPub/Sub rate limiting session storage

REST APIs4 yearsGin Fiber or standard library

Docker2 yearsMulti-stage builds

Git3 years

Preferred / Good-to-Have Skills

SkillWhy It Matters

gRPCHigh-performance service communication

KafkaEvent streaming for audit logs

KubernetesHPA for WebSocket services

Cloud APIs (AWS/Azure/GCP)M6 cloud exchange integrations

PrometheusCustom metrics export

OpenTelemetryDistributed tracing

Interview Process

Round 1 Python ML fundamentals: and nbsp;60 minutes

Round 2 LLM / RAG system design: and nbsp;60 minutes

Round 3 NLP / Voice AI: and nbsp;45 minutes

Round 4 Hiring Manager: and nbsp;45 minutes

Role SummaryYou will own Valuwares high-concurrency services: Cloud Resource Exchange Compute Barter Network Bandwidth Exchange and WebSocket gateways for real-time tracking and chat. Your code will handle thousands of concurrent connections with sub-100ms latency enabling peer-to-peer resource tra...