Software Engineer - Go Specialist

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.

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