Job Url: https://www.remoterocketship.com/company/pointwild/jobs/backend-engineer-united-states-remote

Job Description: 
Point Wild (Formerly Pango Group)
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Point Wild is a leader in online security, providing innovative solutions for consumer identities and endpoint protection. The company focuses on delivering robust security technologies that safeguard both individual users and enterprises from data breaches and privacy incidents. 

Through its various brands, Point Wild offers services such as VPN and Antivirus solutions, which have been widely adopted and downloaded by millions, ensuring privacy and protection in today's digital landscape. 


51 - 200 employees

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

Backend Engineer
3 days ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

Cyber Security

Distributed Systems

GRPC

JavaScript

Node.js

Python

TypeScript

Go

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📋 Description
• Build and maintain high-performance backend services to ingest telemetry, orchestrate analysis, and support remediation workflows
• Design internal APIs and gRPC/REST interfaces for coordination between distributed agents, front-end systems, and external integrations
• Model and persist system state, cryptographic metadata, and remediation context using scalable storage and indexing strategies
• Collaborate closely with AI engineers on inference infrastructure and LLM integration patterns
• Define service-level objectives (SLOs), instrument observability metrics, and ensure fault tolerance under edge conditions
• Contribute to CI/CD pipelines, security reviews, and deployment automation for fast, safe iteration
• Engage in design discussions across the stack to help shape foundational architecture decisions

🎯 Requirements
• 5+ years of backend engineering experience with strong system design and coding fundamentals
• Deep fluency in modern backend development (e.g., TypeScript with Node.js/NestJS, or Go/Python if appropriate)
• Strong understanding of distributed systems, API ergonomics, and architectural tradeoffs
• Familiarity with authentication protocols, cryptographic primitives, and secure data handling practices
• Experience with event-driven architecture, stream processing, or telemetry ingestion pipelines
• Proficiency in designing and evolving data models and working with document or time-series databases
• A bias toward clean abstractions, thoughtful naming, and maintainability under iteration pressure
• Ability to thrive in high-trust, ambiguity-rich environments with strong ownership and product sensibility