Senior/Principal Golang Developer

Principal Remote
Europe, Albania, Poland, Romania, Ukraine, Latin America, Brazil, Mexico
Engineering, Software Development, GO

Required skills

Golang / expert
Distributed Systems / expert
Kubernetes / strong
Performance Optimization / expert
SQL / good

Ready to build systems operating at internet scale and fight sophisticated digital fraud in real time? We are looking for a Senior Golang Backend Engineer to join a cross-functional team developing cutting-edge AdTech and cybersecurity solutions.

In this role, you will work with high-load distributed systems processing over 1.5 trillion prediction requests daily while collaborating with data scientists, malware analysts, and product experts. You will contribute to building scalable fraud prevention technologies used by major internet companies worldwide.

We at Sigma Software offer the opportunity to work on impactful global products, solve complex engineering challenges, and grow alongside experienced professionals in a collaborative and innovation-driven environment. Work format and location are flexible depending on your preferences and project needs.

Customer

Our Customer is a global cybersecurity company delivering advanced protection solutions for individuals, organizations, and digital ecosystems. The company specializes in large-scale threat detection, digital risk mitigation, and real-time protection technologies designed to combat sophisticated online threats across multiple industries.

Project

The project focuses on building a real-time risk assessment platform for the digital advertising ecosystem. The solution helps identify invalid, fraudulent, or low-quality traffic before advertising budgets are spent, enabling automated decision-making in real time.

The team develops advanced fraud detection technologies integrated with major AdTech platforms, agencies, and brands. Engineers work closely with researchers and analysts to uncover abuse patterns, reduce sophisticated invalid traffic (IVT), and improve transparency across programmatic advertising systems.

Requirements

  • Strong commercial experience with Golang and backend engineering
  • Strong Computer Science fundamentals including algorithms, data structures, concurrency, and system design
  • Proven experience with high-load distributed systems
  • Experience with performance tuning, latency optimization, and memory management
  • Hands-on experience with Kubernetes, Terraform, and Helm Charts
  • Good understanding of DevOps practices and cloud-native deployments
  • Experience with SQL databases and large-scale data processing
  • Experience working with AI tools, LLMs, or agent-based systems
  • Product-oriented mindset and ability to align technical solutions with business goals
  • Experience across the full software development lifecycle
  • Ability to design stable, maintainable, and scalable architectures
  • Strong communication and problem-solving skills
  • Upper-Intermediate English level or higher
  • 5+ years of commercial software development experience

WILL BE A PLUS

  • Experience with Apache Airflow
  • Experience with Python
  • Experience with Snowflake
  • Experience in the AdTech domain
  • Experience with C++

Personal Profile

  • Strong analytical and problem-solving mindset
  • Ownership mentality and proactive approach
  • Ability to work effectively in a cross-functional environment
  • Passion for scalable and high-quality systems
  • Ability to balance technical excellence with business priorities
  • Comfortable working in a fast-paced product environment

Responsibilities

  • Design, develop, and maintain high-performance backend services in Golang
  • 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

WHY US

  • Diversity of Domains & Businesses
  • Variety of technology
  • Health & Legal support
  • Active professional community
  • Continuous education and growing
  • Flexible schedule
  • Remote work
  • Outstanding offices (if you choose it)
  • Sports and community activities

REF4150A

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