Software Engineer - Go Specialist.

Location: Colombia, Mexico, Costa Rica, Brazil, Argentina

Department: Candidate Sourcing

Workplace: remote

Description

Job Title: Software Engineer - Go Specialist

Position Type: Full-Time, Remote

Working Hours: U.S. Hours

About the Role

We are seeking Software Engineers to build and scale the backend systems that power a modern, enterprise-grade cybersecurity platform. This role is focused on designing core platform components that ingest, process, and correlate security data at scale across a wide range of third-party systems.

This is a hands-on engineering role where you will work on high-impact backend services, integrations, and data pipelines that directly influence customer outcomes, platform reliability, and security intelligence.

Responsibilities

Backend Engineering & Integration

• Design, build, and maintain integrations with 100+ enterprise platforms, each with unique authentication models, API constraints, and rate limits.
• Develop robust, scalable REST APIs using Go to support customer-facing products and internal services.
• Handle complex third-party API interactions, including authentication flows, retries, error handling, and observability.

Event-Driven Systems & Data Processing

• Build and manage event-driven pipelines to process high-volume security signals reliably and efficiently.
• Design systems that support near real-time ingestion, transformation, and enrichment of security data.
• Ensure data consistency, fault tolerance, and scalability across distributed services.

Data Architecture & Platform Foundations

• Design multi-tenant data architectures that support entity resolution, risk scoring, and anomaly detection.
• Work extensively with relational databases, designing schemas and writing complex queries to support analytical and operational workloads.
• Ensure data security, encryption, and compliance best practices are embedded into platform design.

Cloud Infrastructure & Deployment

• Deploy and operate backend services using cloud-native infrastructure.
• Leverage managed services for compute, messaging, and databases to support scalable system design.
• Implement observability, monitoring, and logging to ensure system reliability and performance.

Collaboration & Applied AI

• Collaborate closely with Product, Security, and Engineering teams to translate requirements into scalable technical solutions.
• Contribute to embedding AI-driven capabilities into security workflows to enhance detection, prioritization, and response.
• Participate in technical discussions, design reviews, and continuous improvement initiatives.

What Makes You a Strong Fit

• You enjoy building backend systems that operate at scale and solve real-world problems.
• You are comfortable working with complex integrations and external systems.
• You take ownership of your work and proactively identify opportunities for improvement.
• You thrive in fast-moving environments where priorities evolve and impact is high.
• You value clean design, reliability, and long-term maintainability.

Required Experience & Skills

• Strong programming fundamentals, with proficiency in Go preferred (or strong experience in Python, Java, or TypeScript with the ability to ramp up in Go).
• Solid experience with relational databases, particularly PostgreSQL, including schema design and complex queries.
• Experience working with cloud infrastructure (GCP preferred; AWS or Azure acceptable).
• Strong written and verbal communication skills, with the ability to explain technical concepts clearly.
• Self-directed and comfortable owning tasks from problem definition through execution.

Preferred Experience & Tools

• Experience building third-party integrations involving OAuth, webhooks, and API lifecycle management.
• Familiarity with event-driven architectures and messaging systems.
• Exposure to security platforms such as identity providers, endpoint security tools, or SIEMs.
• Startup experience or demonstrated ability to adapt quickly in evolving environments.
• Interest in applied AI or LLM technologies and their use in backend systems.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field preferred.
• Open to recent graduates with strong projects, internships, or open-source contributions.
• Candidates with 5+ years of experience are also encouraged to apply if there is strong role alignment.

What Does a Typical Day Look Like ?

A Software Engineer in this role focuses on building reliable backend systems and integrations that process security data at scale. You will:

• Design and implement new integrations and backend services.
• Review and improve existing APIs, data pipelines, and schemas.
• Collaborate with teammates to solve complex technical challenges.
• Debug production issues and improve system reliability.
• Contribute ideas to improve platform architecture and long-term scalability.

In short: you build the foundations that enable secure, scalable, and intelligent security workflows.

Key Metrics for Success (KPIs)

• Reliability and performance of backend services and integrations
• Successful ingestion and processing of security data
• Quality and scalability of API and data architecture
• Reduction in integration errors and system failures
• Contribution to platform stability and feature delivery

Interview Process

• Initial Phone Screen
• Technical Interview with Engineering Team
• Practical Assessment (e.g., API design or backend implementation exercise)
• Cross-Functional Interview
• Offer & Background Verification

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