Senior Site Reliability Engineer

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SOFTSWISS

1001 - 5000 employees

💼 Consulting

📣 Marketing

🎮 Gaming

Consulting • Marketing • Gaming

SOFTSWISS is a leading provider of iGaming software solutions, offering a wide range of products including iGaming Platform, Sportsbook Platform, Game Aggregator, Jackpot Aggregator, and more. Established in 2009, SOFTSWISS has grown to employ over 1,700 people across 4 international offices in Poland, Georgia, Malta, and several remote locations. The company is known for its innovation in the iGaming industry, being the first Crypto iGaming provider in the world. SOFTSWISS not only promotes a dynamic and flexible work culture with comprehensive employee benefits but also commits to social responsibility by supporting various campaigns and initiatives.

📋 Description

• Investigate and resolve production issues across multiple services and integrations • Perform deep debugging using logs, traces, metrics, and database queries to identify root causes • Tune system performance, including PostgreSQL queries, caching, and service behavior under load • Work directly with Kubernetes environments, including deployments, configurations, scaling, and troubleshooting • Improve observability through metrics, logging, and tracing using Grafana and ELK stack • Support and maintain integrations between Sportsbook services and external client platforms • Set up and configure new Sportsbook-related projects and environments • Write internal tooling and automation in Go to reduce manual work and operational overhead • Work with Kafka and RabbitMQ messaging systems and diagnose related issues • Collaborate with developers, QA, and DevOps to resolve incidents and improve system stability • Debug real production issues, stabilize systems, and improve platform reliability on a high-load platform

🎯 Requirements

• Solid experience with Go and comfort reading and writing production code • Strong debugging skills across services, logs, and data layers • Experience with PostgreSQL, including query analysis, indexing, and performance tuning • Hands-on Kubernetes experience with kubectl, deployments, configurations, and troubleshooting • Familiarity with observability tools including Grafana, Kibana/ELK, logs, metrics, and tracing • Experience with Redis, including caching patterns and debugging • Experience with Kafka and/or RabbitMQ, including consumer behavior, lag, retries, and failures • Understanding of distributed systems under load, including timeouts, retries, and race conditions • Comfortable working with production systems and handling incidents • Ability to work independently, investigate issues, and drive them to resolution

🏖️ 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

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