Remote Senior Go Backend Engineer – Cybersecurity Platform

Pavago

United States

On-site

USD 120,000 - 180,000

Full time

14 days+

Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Job summary

Pavago is seeking a Software Engineer specializing in backend development to power a modern cybersecurity platform. You will build and scale backend services using Go, design scalable REST APIs, and own integrations across 100+ enterprise systems.

This remote role offers ownership of event-driven data pipelines, PostgreSQL data architecture, and cloud infrastructure across GCP/AWS/Azure. You will work on high-volume security data processing, distributed systems, and multi-tenant data

Qualifications

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.

Responsibilities

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.
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.
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.
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.
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.
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.