Senior Data & Cloud Operations Engineer

*This is a vacancy in* Xbat.ai*, a VITO spin\-off, not for a function in VITO itself. All information will be transferred to* Xbat.ai*.*

Role Overview

XBAT 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.

Key Responsibilities

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.

• 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.

• 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.

• 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.

• 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.

Must\-Have Qualifications

• 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 pipeline engineering, ETL/ELT workflows, and distributed data systems.


• Experience with CI/CD tools and modern DevOps practices.


• Strong engineering fundamentals in Python, SQL, IaC, containers, and API integration.


• Demonstrated ability to resolve complex technical issues and drive incident management end\-to\-end.


• Ability to work directly with customers in a technical capacity.


• Familiarity with cybersecurity principles and willingness to own security and compliance topics.


• Proactive problem\-solving attitude with strong ownership of outcomes.

Nice\-to\-Have Qualifications

• Experience with IoT ecosystems, device integration, or sensor networks.


• Affinity with hardware or operational production\-line environments.


• Experience with large\-scale storage systems (object stores, data lakes, distributed file systems).


• Background supporting ML/AI teams, GPU workloads, or high\-performance compute environments.

What We Offer

• A high\-impact role with broad ownership across cloud, data, operations, and security.


• Direct collaboration with AI and software engineering experts in a rapidly scaling environment.


• Autonomy to shape our infrastructure, reliability practices, and engineering roadmap.


• Exposure to diverse engineering challenges spanning cloud systems, cybersecurity, hardware integration, and data\-intensive workloads.


• Opportunities to interact directly with customers, influence technical strategy, and drive continuous improvement across the organization.

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