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Business Operations Engineer

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Skills

Required

  • LLMs
  • AI agents
  • agentic workflows
  • troubleshooting AI-powered solutions
  • software engineering
  • automation engineering
  • programming
  • Java / JavaScript / TypeScript / Python
  • SQL
  • automated workflows
  • DevOps
  • containerization
  • Docker
  • Kubernetes

Preferred

  • QOS
  • monitor existing automations
  • identifying root causes

Join our team as a Business Operations Engineer, where you'll be at the intersection of business operations, data, and technology. In this hands-on technical role, you'll maintain, troubleshoot, and continuously improve our QOS modules, ensuring their stability, performance, and sustainability.

Responsibilities

  • You'll also have the opportunity to develop and implement small enhancements, monitor existing automations, and collaborate with engineering team members and business stakeholders.
  • Enjoy a flexible schedule, free drinks at the office, regular company events, mentoring and career development, and the option to work from another country for up to 3 months a year.
  • Maintaining, troubleshooting, and continuously improving the modules deployed within QOS, ensuring their stability, performance, and sustainability.
  • Taking ownership of the ongoing maintenance and operational reliability of existing QOS modules, ensuring their availability, stability, and correct functioning across business processes.
  • Investigating, troubleshooting, and resolving bugs, incidents, and performance issues, identifying root causes and implementing sustainable fixes to prevent recurring problems.
  • 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

Requirements

  • 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
  • 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

Pay

EUR 35,000 - 40,000