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

Initial Phone Screen

Technical Interview

Practical Backend/API Assessment

Cross-Functional Interview

Offer & Onboarding

Apply Now

If you’re a backend engineer who enjoys Go/Golang, distributed systems, PostgreSQL, APIs, integrations, and scalable infrastructure, we’d love to hear from you.

Join a technically challenging environment where you can build backend systems that process security data at scale and directly influence the architecture and reliability of a growing cybersecurity platform. #Golang #GoDeveloper #BackendEngineer #SoftwareEngineer #Cybersecurity #PostgreSQL #DistributedSystems #GCP #APIDevelopment #Microservices #CloudEngineering #RemoteJobs

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