Middle Software Engineer (Ruby on Rails)

Accountabilities

• Maintain, enhance, and develop FAdmin, a core flyer processing system, alongside the broader Content Platform ecosystem, including workflow execution, vendor management, merchant administration, FTP synchronization, and store administration tools.

• Deliver roadmap features end to end, from technical planning and implementation through testing, deployment, and ongoing maintenance.

• Apply an AI-first development approach using Claude Code or similar AI coding agents to accelerate implementation, improve productivity, and support high-quality software delivery.

• Use agentic coding workflows to plan tasks, generate and review code, automate development activities, and validate AI-generated solutions against established engineering standards.

• Refactor and improve existing codebases and architecture to make systems more maintainable, reliable, and accessible to AI coding agents.

• Participate in the Content Layer Service Desk and internal request boards, investigating issues, resolving service requests, and supporting operational continuity.

• Write and maintain automated tests to ensure application reliability, prevent regressions, and validate new functionality.

• Participate in peer code reviews, share technical knowledge, and promote clean, maintainable, and well-tested code.

• Maintain and improve CI/CD pipelines to support reliable deployments, shorter feedback cycles, and continuous delivery.

• Collaborate with engineers and relevant stakeholders to understand requirements, troubleshoot technical challenges, and deliver solutions aligned with business needs.

• Contribute to continuous improvements in development workflows, production support, and AI-assisted engineering practices.

Requirements:

• Between two and five years of professional experience in backend or full-stack software development.

• Proven hands-on experience building, maintaining, and deploying production applications using Ruby on Rails.

• Two to five years of solid experience working with relational databases, SQL, and query design.

• Daily practical experience with AI coding agents such as Claude Code or comparable tools, including task planning, code generation, reviewing AI-generated output, and validating implementation quality.

• Strong understanding of software engineering fundamentals, code maintainability, debugging, and production application development.

• Experience writing automated tests, participating in code reviews, and working with CI/CD pipelines.

• A proven track record of delivering reliable, high-quality features to production and taking responsibility for their ongoing performance.

• Strong analytical and problem-solving skills, with the ability to investigate issues and develop effective technical solutions.

• Excellent written and spoken English skills, enabling clear communication and effective collaboration within an international, distributed team.

• A proactive, independent working style, with a strong sense of ownership and a willingness to learn and experiment with emerging development tools.

Nice to have:

• Deeper knowledge of AI coding agent capabilities, including skills, Model Context Protocol (MCP) servers, subagents, and context engineering.

• Experience with Kafka or other message brokers and event-driven architectures.

• Familiarity with Docker, Kubernetes, Amazon EKS, and AWS infrastructure.

• Experience with Datadog, production monitoring, incident investigation, or on-call rotations.

• Practical experience with JavaScript and TypeScript.

• Exposure to LLM-powered product features, content processing systems, or product catalog data pipelines.

• Interest in improving AI-assisted development workflows and making software architectures more suitable for agent-based engineering.

Benefits:

• Competitive compensation:Attractive monthly remuneration based on experience and skills.

• Fully remote work:Flexibility to work remotely within the supported European working arrangement.

• Flexible schedule:Working hours designed to support autonomy and work-life balance.

• Paid vacation:18 paid working days of annual leave.

• Paid sick leave:Sick leave coverage, including five days per year that do not require documentation.

• Health and well-being support:Medical insurance or sports programs to support your physical health and wellness.

• Professional development:Opportunities to obtain certifications, attend conferences, and continuously expand your technical expertise.

• Learning opportunities:Access to English lessons and support for ongoing professional growth.

• Modern equipment:Work with Mac computers and tools that support efficient software development.

• Team activities:Opportunities to participate in sports activities, charity initiatives, and team engagement events.

• Administrative support:Full assistance with Private Entrepreneur (FOP) reporting services, where applicable.

• Engineering-focused environment:Collaborate with experienced technical professionals in a team that values engineering excellence, asynchronous communication, and continuous improvement.