Senior Ruby on Rails Developer

Stack

Responsibilities

• ▹Design, build and evolve Ruby on Rails services powering the iGaming platform: high-throughput APIs, payment and wallet flows, real-time game integrations and back-office tooling
• ▹Work in an AI-augmented workflow using coding assistants and agents (Cursor, Claude Code, GitHub Copilot or similar) for scaffolding, refactoring, test generation and code review, taking full responsibility for merged quality
• ▹Integrate LLM-based features where they create real value (fraud and risk signals, player-support automation, content generation, internal analytics copilots)
• ▹Own performance and reliability: profile hot paths, tune PostgreSQL queries, design caching and background-processing strategies, drive incidents to root cause
• ▹Review human- and AI-written code, mentor mid-level engineers and help set team standards for responsible AI use
• ▹Take part in architecture discussions, technical planning and cross-team initiatives

Requirements

• ▹4+ years of commercial Ruby on Rails experience; deep understanding of Ruby internals and Rails conventions
• ▹Strong SQL and PostgreSQL skills: indexing, query planning, migrations on large tables without downtime
• ▹Solid grasp of distributed-system fundamentals: message queues, idempotency, eventual consistency, background jobs (Sidekiq or similar), caching (Redis)
• ▹Hands-on experience with AI coding tools in day-to-day work and a clear opinion on when they help and when they hurt
• ▹Ability to evaluate and verify AI-generated code; write and read tests critically
• ▹Experience designing and consuming REST and/or gRPC APIs; familiarity with OpenAPI
• ▹Confident with Git, CI/CD pipelines and Docker; comfortable reading Kubernetes manifests and logs
• ▹Experience with observability tooling (Prometheus/Grafana, Sentry, OpenTelemetry or similar)
• ▹Upper-Intermediate or higher English and Russian

Nice to have

• ▹Experience integrating LLM APIs (OpenAI, Anthropic, open-weight models) into production Ruby applications: prompt design, structured outputs, evaluation, cost and latency control
• ▹Familiarity with RAG pipelines, vector databases (pgvector, Qdrant) or agent frameworks
• ▹Understanding of security and data-privacy implications of AI features (PII handling, prompt injection, output validation)
• ▹Experience in fintech, payments or iGaming; knowledge of regulatory and responsible-gaming requirements
• ▹Contributions to open-source Ruby projects, talks or technical writing

Soft skills

About the company

The SOFTSWISS Casino Platform is a full-service modular software platform for managing online casino operations; the company is expanding its team.