Systems/DevOps Engineer

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SOFTSWISS

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🎮 Gaming

Gaming • Software Development

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

• Collaboration with product teams. • Participate in the launch of new projects and new features. • Participate in the design of complex information systems. • Automate infrastructure components. • Setup and maintain infrastructure. • Consult managers and company clients. • Create and maintain technical documentation.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • At least 3 years of professional experience in systems engineering or a similar role such as SRE or DevOps. • Proficient with Linux-based operating systems. • Experience with configuration management systems (Puppet / Chef / Ansible / Saltstack). • Development skills in bash and python. • Experience with container application virtualization systems and orchestration systems for them (preferably with k8s). • Good knowledge and experience in the CI/CD process (Gitlab CI). • Experience with distributed systems. • Experience in information system design. • Experience with Postgresql. • Excellent command of Russian. • Intermediate or higher English (B1+). • Familiarity with modern AI-powered tools and their use in daily engineering workflows: • a. Experience with agentic tools (e.g., Claude Code, Cursor, etc.), not just chat interfaces: ability to assign tasks to agents and work with MCP integrations (Jira, GitLab, etc). • b. Ability to validate AI-generated output: reviewing generated merge requests and configurations, understanding where an agent can be given autonomy and where a human approval gate is required (e.g., irreversible actions, production environments). • c. Documentation for agents: ability to write structured runbooks and state files that are executable and understandable by both humans and AI. This is a core foundation of the project. • d. AI secrets hygiene: understanding what must never be exposed to a model or included in its context (tokens, credentials, PII, sensitive data).

🏖️ 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