Software Engineer – Go/Golang Backend | Cybersecurity Platform 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 specializing in backend development to help build and scale the infrastructure powering a modern cybersecurity platform. This is not a basic CRUD development role. You’ll work on technically challenging systems involving:

- Go/Golang backend services
- High-volume security data processing
- Distributed and event-driven systems
- 100+ third-party integrations
- Scalable APIs and data pipelines
- Cloud infrastructure
- Multi-tenant data architecture If you enjoy solving complex backend, infrastructure, and integration problems at scale, this role offers strong technical ownership and impact. What You’ll Own Backend Engineering – Go & APIs - Build and maintain backend services primarily using Go (Golang).
- Design scalable REST APIs and internal microservices.
- Implement authentication, rate limiting, retry mechanisms, fault tolerance, and robust error handling.
- Write maintainable, production-ready code designed for reliability and scale.
- Diagnose performance bottlenecks and improve backend efficiency.

Enterprise

Integrations - Build and maintain integrations across 100+ enterprise systems.

- Work extensively with REST APIs, OAuth, webhooks, and external services.
- Design integrations that remain reliable as data volume and customer usage scale.
- Troubleshoot integration failures and improve resilience.
- Implement monitoring and observability around integration health. Event-Driven Systems & Data Pipelines - Design event-driven architectures for processing security data.
- Build pipelines for data ingestion, transformation, and enrichment.
- Work with asynchronous processing, messaging systems, and distributed workflows.
- Ensure high-volume data can be processed reliably and efficiently. PostgreSQL & Data Architecture - Design scalable data models for multi-tenant applications.
- Work extensively with PostgreSQL.
- Design schemas and optimize complex queries.
- Improve indexing and database performance.
- Support both operational and analytics-oriented data requirements.
- Maintain data integrity as the platform scales.

Cloud

Infrastructure & Observability - Deploy and operate services across cloud environments, with Google Cloud Platform (GCP) preferred.





- Work with scalable compute, managed storage, and messaging infrastructure.
- Implement monitoring, logging, and observability.
- Diagnose production issues and improve system reliability.
- Contribute to infrastructure and platform scalability initiatives. Architecture & Platform Development - Collaborate with Product, Security, and Engineering teams.
- Participate in architecture decisions and technical design reviews.
- Identify opportunities to improve platform reliability, scalability, and maintainability.
- Contribute to AI-powered security workflows and automation initiatives.

Required Experience & Skills - Strong professional backend software engineering experience.

- Proficiency in Go/Golang, or strong experience with Python, Java, or TypeScript with willingness to transition to Go.
- Experience building production APIs and distributed backend systems.
- Strong relational database experience, ideally PostgreSQL.
- Experience with at least one major cloud platform:
- GCP
- AWS
- Azure - Hands-on understanding of:
- REST APIs
- Webhooks
- Authentication systems
- Asynchronous processing
- Database design and optimization - Strong debugging and problem-solving abilities.
- Ability to independently own technical problems through resolution.
- Strong written and verbal communication skills. Nice to Have Experience with any of the following is highly valuable:
- OAuth
- Event-driven architectures
- Message queues and asynchronous systems
- Distributed systems
- High-volume data pipelines
- Multi-tenant SaaS architecture
- Cybersecurity platforms
- SIEM systems
- Identity and access management
- Endpoint security platforms
- Startup or high-growth engineering environments
- AI/LLM-powered applications and workflows Core Technology Stack Backend: Go / Golang

Database: PostgreSQL

APIs: REST, OAuth, Webhooks

Cloud: GCP preferred; AWS/Azure relevant

Architecture: Microservices, distributed systems, event-driven processing

Infrastructure: Messaging systems, monitoring, logging,



observability What Makes You a Strong Fit You’re likely to succeed if you:

- Prefer backend and systems engineering over frontend/UI development.
- Have built production systems designed for scale.
- Understand that integrations need to handle failures, retries, rate limits, and changing external APIs.
- Care about clean architecture and long-term maintainability.
- Think deeply about reliability, performance, and observability.
- Can troubleshoot complex production issues systematically.
- Take ownership without requiring constant direction.
- Enjoy fast-moving, engineering-heavy environments. What a Typical Day Looks Like You may spend your day:
- Building and shipping backend services in Go.
- Designing an integration with an external enterprise platform.
- Debugging a production integration or data-processing issue.
- Optimizing PostgreSQL queries and indexes.
- Improving API reliability and performance.
- Building or refining event-driven data pipelines.
- Reviewing architecture decisions with other engineers.
- Improving monitoring and observability.
- Supporting AI-powered security and automation workflows.

In short: you’ll build the scalable backend infrastructure, integrations, and data systems that power a modern cybersecurity platform. Key Metrics for Success - Backend reliability and uptime.

- API latency and performance.
- Scalability under increasing workloads.
- Reliable processing of high-volume security data.
- Reduced third-party integration failures.
- Database and query performance.
- Platform stability and maintainability.
- Quality and speed of engineering execution.

Why This Role Stands

Out - Work on real distributed backend systems, not basic application development.

- Solve challenging integration problems across 100+ enterprise systems.
- Build infrastructure supporting high-volume cybersecurity data.
- Work across APIs, databases, event-driven architecture, and cloud infrastructure.
- Exposure to AI-powered security workflows.
- Strong technical ownership in a fully remote environment.
- Growth opportunities into:
- Senior Backend Engineer
- Senior Go Engineer
- Platform Engineer
- Systems Architect
- Infrastructure Lead Interview Process 1.

Initial Phone

Screen

2.

Technical

Interview

3.

Practical

Backend/API Assessment

- Cross-Functional Interview
- Offer & Onboarding

📌 Software Engineer - Go Specialist (México)
🏢 Pavago
📍 México