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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Originally posted on Himalayas