Senior Golang Backend Engineer – Fraud Prevention

Sigma Software; Poland; On-site; PLN 180,000 - 240,000; Full time

Job summary

Sigma Software is seeking an experienced Go backend engineer to design, develop, and maintain high-performance services. You will build distributed systems handling large-scale prediction workloads and work closely with data scientists, security analysts, researchers, and product managers to improve scalability, reliability, latency, and cost efficiency across environments.

You will contribute to backlog prioritization, technical planning, and ensure software quality through clean architecture,

Qualifications

• Design, develop, and maintain backend services in Go.
• Build and optimize distributed systems processing trillions of prediction requests daily.
• Collaborate with data scientists, malware analysts, researchers, and product managers.
• Improve system scalability, reliability, latency, and cost efficiency.
• Develop, test, review, deploy, and maintain software across multiple environments.
• Ensure software quality through clean architecture and engineering best practices.
• Contribute to backlog prioritization and technical planning.
• Deploy and support services in Kubernetes environments.
• Investigate fraudulent activities and develop new fraud prevention approaches.
• Drive engineering excellence within a collaborative product-oriented team.

Responsibilities

• Design, develop, and maintain backend services in Go.
• Ensure high availability and performance of critical systems.
• Collaborate across data science, security, and product teams.
• Drive architectural decisions and best practices across projects.

Skills

Golang

Backend development

Distributed systems

Code quality

Collaboration

Performance optimization

Tools

Kubernetes

Docker

Job description

Sigma Software is seeking an experienced Go backend engineer to design, develop, and maintain high-performance services. You will build distributed systems handling large-scale prediction workloads and work closely with data scientists, security analysts, researchers, and product managers to improve scalability, reliability, latency, and cost efficiency across environments.

You will contribute to backlog prioritization, technical planning, and ensure software quality through clean architecture,