Senior Data & Cloud Operations Engineer

As subsidiary of the Sortbat Group, Watt4

Ever closely collaborates with Sortbat Belgium and Xbat.ai on high-end engineering projects. The number of battery types is growing rapidly, making manual sorting more challenging. Different chemistries, sizes, and designs make it harder for the workers to correctly identify and sort batteries. In particular, the growing variety within Li-ion chemistries adds an extra layer of complexity. Xbat.ai solves these challenges with a groundbreaking battery sorting system using X-ray sensors and Artificial Intelligence (AI), ensuring precise, fast, and safe processing of all household batteries, from button cells to packs.

Sortbat and VITO lead the industry of sorting with the world’s only AI-driven X-ray battery sorting solution Xbat.ai. Sortbat is a European leader in the collection, sorting, and recycling of batteries, dedicated to closing the loop in the circular economy. As part of the Sortbat Group, we drive sustainability by linking battery collection and processing with innovative reuse pathways. To strengthen our innovation roadmap, we participate in national and European funded projects (VLAIO, EU Horizon, and others).

These projects support the development of new technologies, intellectual property (IP), and in-house competencies that are critical to Sortbat’s growth.

Xbat.ai is seeking a Senior Data & Cloud Operations Engineer who will take full ownership of our data infrastructure, cloud platforms, BI delivery, and mission-critical operational environment. This role combines data engineering, cloud architecture, platform reliability, advanced troubleshooting, and customer-facing technical support. You will work closely with our AI, software, and product teams to ensure a performant, secure, and scalable ecosystem.

You will also act as the primary technical escalation point for complex system behaviour, cloud issues, and production incidents. The ideal candidate is hands‑on, analytical, and proactive, with a strong sense of accountability toward system uptime, data integrity, and customer satisfaction.

• Business Intelligence & Customer Delivery:
  Deploy, maintain, and optimize BI dashboard solutions for customers. Monitor performance, troubleshoot issues, and ensure reliability of delivered analytics products. Support customer onboarding and provide technical context during implementations.
• Cloud & Infrastructure Engineering:
  Design, develop, and maintain the Xbat.ai cloud environment supporting internal AI workflows and customer‑facing components. Architect and operate scalable storage and compute environments handling 100+ TB datasets. Build and manage CI/CD pipelines for software components developed across the organization. Improve observability across systems through metrics, dashboards, alerts, and automated diagnostics.
• Advanced Troubleshooting & Operational Ownership:
  Diagnose and resolve complex issues across data pipelines, cloud platforms, APIs, dashboards, update servers, and application components.
• Take full ownership of production incidents: analysis, mitigation, root‑cause investigation, and long‑term corrective actions. Collaborate directly with engineering teams to reproduce issues, recommend fixes, and validate deployments. Create and maintain runbooks, operational documentation, and technical knowledge resources. Customer‑Facing Technical Support – Serve as the technical escalation point when system malfunctions, degraded performance, or downtime occurs. Communicate effectively with customers regarding issue status, impact, and resolution steps.
  
  Provide technical workshops or briefings to prospects and clients when needed.
• Security, Policy & Compliance:
  Own Xbat.ai’s cybersecurity posture, including policy maintenance and compliance alignment. Implement, monitor, and continuously improve security best practices across infrastructure, data flow, and cloud components.

• 3–5+ years of experience as a Data Engineer, Cloud Engineer, Platform Engineer, or a similar technical role. Proven experience with cloud platforms (AWS, Azure, or GCP) and infrastructure automation. Strong command of data…