Senior Go Backend Engineer – High-Load Sportsbook

SOFTSWISS; Poland; On-site; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Private health insurance

Sports benefits

Free English lessons (online)

Local language courses

Paid time off

Maternity leave support

Referral program rewards

Upskilling, internal workshops

Job summary

SOFTSWISS is seeking a Senior Go Developer to design and build scalable backend systems for our Sportsbook platform. You will shape architecture for a high-load, business-critical service and work closely with a cross-functional team.

You will review code, write clean tests, optimize performance, and apply best practices in Go, Linux, Docker, Kafka, and Kubernetes. Experience with betting products and data integrity is highly valued.

Qualifications

• 7+ years of professional software development experience.
• At least 4 years of Go as the primary language.
• Hands-on betting-related product experience is a must.
• Strong Go internals knowledge: data structures, multithreading, memory management, GC.
• Experience with relational databases and writing/optimizing complex SQL queries.
• Solid Linux knowledge and containerization experience (Docker).
• Ability to write testable code with unit tests.
• Experience with Kafka and Kubernetes.
• Russian language at Upper-Intermediate level.

Responsibilities

• Collaborate within a Scrum team and plan your own workflow.
• Engage in architectural, infrastructure, and strategic decision making.
• Conduct code reviews and document your own code.

Skills

Go programming

System internals

Distributed architecture

Unit testing

SQL queries

Linux

Kafka

Kubernetes

Russian language

Tools

Docker

PostgreSQL

ClickHouse

Job description

SOFTSWISS is seeking a Senior Go Developer to design and build scalable backend systems for our Sportsbook platform. You will shape architecture for a high-load, business-critical service and work closely with a cross-functional team.

You will review code, write clean tests, optimize performance, and apply best practices in Go, Linux, Docker, Kafka, and Kubernetes. Experience with betting products and data integrity is highly valued.