Software Engineer - Go Specialist

Software Engineer (Go / Golang Backend) – Cybersecurity Platform | Remote

Position Type: Full-Time, Remote Working Hours: U.S. Business Hours

About the Role

At Pavago, one of our clients is hiring a Software Engineer (Go / Golang Backend) to help build and scale the backend infrastructure powering a modern cybersecurity platform.

This is not a basic CRUD application role.

You'll work on:

• high-scale backend systems
• real-time security data processing
• distributed systems
• complex third-party integrations
• event-driven architectures
• scalable APIs and data pipelines

If you enjoy solving infrastructure and backend engineering challenges at scale, this role is a strong fit.

Backend Engineering (Go / APIs)

• Build backend services using:
• Go (Golang)
• Design and maintain:
• REST APIs
• internal microservices
• Handle:
• authentication flows
• API rate limiting
• retry logic
• fault tolerance
• error handling
• Build scalable and maintainable backend systems

Third-Party Integrations

• Build integrations across 100+ enterprise systems
• Work with:
• OAuth
• webhooks
• external APIs
• Ensure:
• reliability
• observability
• scalability
• integration stability
• Troubleshoot and improve integration performance

Event-Driven Systems & Data Pipelines

• Design event-driven architectures for security data processing
• Build systems for:
• data ingestion
• transformation
• enrichment
• Work with:
• asynchronous processing
• messaging systems
• distributed workflows

Data Architecture & Databases

• Design scalable, multi-tenant backend systems
• Work heavily with:
• PostgreSQL
• Handle:
• schema design
• complex queries
• indexing
• performance optimization
• data modeling for analytics and operational systems

Cloud Infrastructure & Observability

• Deploy and manage services across:
• Google Cloud Platform (preferred)
• AWS
• Azure
• Work with:
• scalable compute
• managed storage
• messaging systems
• Implement:
• monitoring
• logging
• observability
• reliability improvements

Collaboration & Platform Evolution

• Collaborate with:
• Product teams
• Security teams
• Engineering stakeholders
• Contribute to:
• architecture decisions
• technical design reviews
• infrastructure improvements
• platform scalability
• Support AI-powered security workflows and automation initiatives

What Makes You a Strong Fit

• You enjoy backend engineering more than frontend/UI work
• You've built scalable systems and integrations before
• You care about:
• clean architecture
• long-term maintainability
• reliability
• performance
• You take ownership and move quickly in fast-paced environments
• You enjoy solving complex technical problems

Requirements (Must-Have)

Engineering Experience

• Strong backend engineering experience
• Proficiency in:
• Go (preferred)
• OR Python / Java / TypeScript with willingness to learn Go
• Experience building APIs and distributed backend systems

Databases & Infrastructure

• Strong experience with:
• relational databases
• PostgreSQL preferred
• Experience with:
• cloud platforms (GCP, AWS, Azure)
• Familiarity with:
• APIs
• webhooks
• authentication systems
• async processing

Communication & Ownership

• Strong problem-solving ability
• Ownership mindset and ability to work independently
• Strong written and verbal communication skills
• Comfortable collaborating across technical and non-technical teams

Nice to Have

• Experience with:
• OAuth
• event-driven systems
• messaging queues
• distributed architectures
• Exposure to:
• cybersecurity platforms
• SIEM tools
• identity management tools
• endpoint security tools
• Startup or high-growth environment experience
• Interest in:
• AI systems
• LLM-powered workflows
• applied AI infrastructure

Tools & Technologies

• Go (Golang)
• PostgreSQL
• REST APIs
• OAuth / Webhooks
• GCP / AWS / Azure
• Messaging systems
• Monitoring & observability tools

What a Typical Day Looks Like

• Build and ship backend services in Go
• Design integrations with external systems
• Debug production issues and improve reliability
• Optimize APIs, pipelines, and database queries
• Collaborate on architecture and scalability decisions
• Improve observability and infrastructure performance

In short: You build the backend infrastructure that powers high-scale cybersecurity data processing and integrations.

Key Metrics for Success (KPIs)

• Backend reliability and uptime
• API performance and scalability
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