Business Operations Engineer
Qualifyze
- Barcelona, Spain
- Mid Level
- Posted
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
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