# Software Engineer - Go Specialist > Pavago · Colombia (Remote) · — · Posted 2026-08-09 **Workplace:** remote **Department:** Candidate Sourcing ## Description ### **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 4. Cross-Functional Interview 5. 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. **#LI-AG1 #Golang #GoDeveloper #BackendEngineer #SoftwareEngineer #Cybersecurity #PostgreSQL #DistributedSystems #GCP #APIDevelopment #Microservices #CloudEngineering #RemoteJobs** ## Apply [Apply at Pavago](https://apply.workable.com/pavago/j/178449E8A7/apply) --- Powered by [Workable](https://www.workable.com)