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Overview
SOFTSWISS is seeking a Senior Site Reliability Engineer to enhance their Sportsbook platform, focusing on operational stability and performance in a high-load environment. 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.
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
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
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