Softswiss

Ruby on Rails Developer – Senior

Poznań, PL • Beograd, RS • Vilnius, LT • Kato Polemidia, CY • T'bilisi, GE • Warszawa, PL · Work style not stated · Full-time

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EmployerSoftswiss
LocationPoznań, PL • Beograd, RS • Vilnius, LT • Kato Polemidia, CY • T'bilisi, GE • Warszawa, PL
Work styleWork style not stated
Employment typeFull-time
Employer posted20 days ago

Overview:

SOFTSWISS continues to expand its team and is looking for a Senior Ruby on Rails Developer. We need a skilled, proactive and accomplished professional who shares our culture and values and is ready to contribute to the development of cutting-edge gaming solutions.

About Product:

SOFTSWISS Casino Platform
Full-service modular software platform to manage online casino operations

Learn More

Purpose of the role:

We're looking for an engineer who treats AI as a force multiplier rather than a shortcut: someone who ships fast with modern tooling, but still owns the architecture, the edge cases and the production behaviour of everything they deliver. If you share our culture and values and want to build high-load gaming solutions used by millions of players, we'd love to talk.

Key responsibilities:

You'll do design, build and evolve Ruby on Rails services that power our iGaming platform: high-throughput APIs, payment and wallet flows, real-time game integrations and back-office tooling.

Show full description

Work in an AI-augmented workflow: use coding assistants and agents (Cursor, Claude Code, GitHub Copilot or similar) for scaffolding, refactoring, test generation and code review and take full responsibility for the quality of what gets merged.

Integrate LLM-based features into the product 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, and drive incidents to root cause.

Review code (human- and AI-written alike), mentor mid-level engineers and help set the team's standards for how we use AI responsibly and effectively.

Take part in architecture discussions, technical planning and cross-team initiatives.

Required Experience:

4+ years of commercial Ruby on Rails experience; deep understanding of Ruby internals, Rails conventions and where to break them.

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.

You can spot a plausible-looking hallucinated API in review.

Ability to evaluate and verify AI-generated code: you write and read tests critically, understand what the code actually does, and never merge what you can't explain.

Experience designing and consuming REST and/or gRPC APIs; familiarity with OpenAPI.

Confident with Git, CI/CD pipelines, Docker; comfortable reading Kubernetes manifests and logs.

Experience with observability tooling (Prometheus/Grafana, Sentry, OpenTelemetry or similar).

Upper-Intermediate or higher English and Russian level

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, model 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.

Working knowledge of Go, Elixir or TypeScript for cross-service work.

Our stack:

Ruby 3.x, Rails 7/8, PostgreSQL, Redis, Sidekiq, Kafka [/RabbitMQ], Docker, Kubernetes, GitLab CI, Grafana, Sentry.

AI tooling: [Cursor / Claude Code / Copilot] with team-wide guidelines on usage, review and security.

LLM integrations via [provider APIs and self-hosted models]

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

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