About this role
Overview:SOFTSWISS is looking for an experienced Site Reliability Engineer to join our Sportsbook team and work on a high-load, production-critical platform.
About Product:SOFTSWISS Sportsbook
Sportsbook is a software platform designed for launching and managing a successful online sports betting business. The Sportsbook team’s goal is to develop truly innovative software that will make the process of creating and running a bookmaker website faster and easier for our clients. We are searching for driven individuals who are passionate about what they do and are ready to work on engaging tasks and exciting projects together.
Purpose of the role:You will work on a high-load platform in a production-focused role that combines backend engineering and operational responsibility. The work is hands-on: debugging real issues, stabilizing systems and improving reliability rather than building features in isolation.
Key responsibilities:Investigate and resolve production issues across multiple services and integrations
Perform deep debugging (logs, traces, metrics, DB queries) to identify root causes
Tune system performance (PostgreSQL queries, caching, service behavior under load)
Work directly with Kubernetes environments: deployments, configs, scaling, troubleshooting
Improve observability: metrics, logging, tracing (Grafana, ELK stack)
Support and maintain integrations between Sportsbook services and external client platforms
Set up and configure new projects/environments (mainly Sportsbook-related)
Write internal tooling and automation in Go to reduce manual work and operational overhead
Work with messaging systems (Kafka, RabbitMQ) and diagnose related issues
Collaborate with developers, QA, and DevOps to resolve incidents and improve system stability
Required Experience:Solid experience with Go (comfortable reading and writing production code)
Strong debugging skills: ability to trace issues across services, logs, and data layers
Experience working with PostgreSQL (query analysis, indexing, performance tuning)
Hands-on experience with Kubernetes (kubectl, deployments, configs, troubleshooting)
Familiarity with observability tools (Grafana, Kibana/ELK, logs/metrics/tracing)
Experience with Redis (caching patterns, debugging)
Experience with Kafka and/or RabbitMQ (consumer behavior, lag, retries, failures)
Understanding of how distributed systems behave under load (timeouts, retries, race conditions)
Comfortable working with production systems and handling incidents
Ability to work independently: take an issue, investigate, and drive it to resolution
Nice to have:Experience with high-load or real-time systems
Experience with Sportsbook or betting platforms
Experience building internal tools or automation for engineering teams
Our Benefits:Private health insurance
Sports benefits
Comprehensive Mental Health Program
Free English lessons (online)
Local language courses
Paid time off
Maternity leave support
Referral program rewards
Upskilling, internal workshops, and participation in professional conferences and corporate events