Business Operations Engineer

• As a Business Operations Engineer, you sit at the intersection of business operations, data, and technology, ensuring that systems and automation solutions run reliably and evolve with business needs. Your mission is to maintain, troubleshoot, and continuously improve the modules deployed within QOS, ensuring their stability, performance, and sustainability
• This is a hands-on technical role focused on maintaining production solutions, resolving incidents, and delivering incremental enhancements. You combine programming skills with an understanding of business processes, automation, and AI-powered workflows
• Take ownership of the ongoing maintenance and operational reliability of existing QOS modules, ensuring their availability, stability, and correct functioning across business processes
• Investigate, troubleshoot, and resolve bugs, incidents, and performance issues, identifying root causes and implementing sustainable fixes to prevent recurring problems
• Develop and implement small enhancements and iterative improvements based on operational feedback and evolving requirements
• Monitor existing automations, integrations, data pipelines, and AI-powered workflows to proactively identify failures and performance inefficiencies
• Maintain and improve integrations between internal systems, ensuring consistent data flows and reliable cross-system automation
• Maintain technical documentation, troubleshooting guides, and operational runbooks
• Collaborate with engineering team members and business stakeholders to prioritize maintenance activities, assess improvement requests, and address technical challenges

Benefits

• 🍼 Truly flexible schedules
• 🎉 Regular company events
• 🍹 A selection of free drinks at the office
• 🎓 Mentoring and career development
• ✈️ The hotel room is your office - we allow working from another country up to 3 months a year
• 💳 Flexible compensation plan - our Edenred and become.1 cards are an open door to customisable benefits and tax savings

• Practical familiarity with LLMs, AI agents, and agentic workflows, including troubleshooting AI-powered solutions
• Proven experience in software engineering, automation engineering, or a similar technical role
• Solid programming skills in at least one of the following: Java, JavaScript, TypeScript, or Python, alongside working knowledge of SQL
• Hands-on experience maintaining, debugging, and improving production applications and automated workflows
• Practical understanding of DevOps concepts, including containerization (Docker), orchestration (Kubernetes), and CI/CD practices
• Continuous Improvement: Proactively identifies opportunities to optimize existing solutions and processes
• Problem-Solving: Independently identifies and resolves operational and technical issues within their area of responsibility
• Ownership: Takes responsibility for system reliability, maintenance, and continuous improvement
• Collaboration: Works effectively with business stakeholders and technical colleagues, communicating clearly and escalating complex issues appropriately
• Decision-Making: Makes sound technical decisions within established frameworks and aligns with team standards