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.
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.
Business Intelligence & Customer Delivery
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Deploy, maintain, and optimize BI dashboard solutions for customers.
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Monitor performance, troubleshoot issues, and ensure reliability of delivered analytics products.
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Support customer onboarding and provide technical context during implementations.
Cloud & Infrastructure Engineering
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Design, develop, and maintain the XBAT.ai cloud environment supporting internal AI workflows and customer-facing components.
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Architect and operate scalable storage and compute environments handling 100+ TB datasets.
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Build and manage CI/CD pipelines for software components developed across the organization.
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Improve observability across systems through metrics, dashboards, alerts, and automated diagnostics.
Advanced Troubleshooting & Operational Ownership
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Diagnose and resolve complex issues across data pipelines, cloud platforms, APIs, dashboards, update servers, and application components.
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Take full ownership of production incidents: analysis, mitigation, root-cause investigation, and long-term corrective actions.
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Collaborate directly with engineering teams to reproduce issues, recommend fixes, and validate deployments.
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Create and maintain runbooks, operational documentation, and technical knowledge resources.
Customer-Facing Technical Support
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Serve as the technical escalation point when system malfunctions, degraded performance, or downtime occurs.
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Communicate effectively with customers regarding issue status, impact, and resolution steps.
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Provide technical workshops or briefings to prospects and clients when needed.
Security, Policy & Compliance
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Own XBAT.ai's cybersecurity posture, including policy maintenance and compliance alignment.
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Implement, monitor, and continuously improve security best practices across infrastructure, data flow, and cloud components.
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3–5+ years of experience as a Data Engineer, Cloud Engineer, Platform Engineer, or a similar technical role.
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Proven experience with cloud platforms (AWS, Azure, or GCP) and infrastructure automation.
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Strong command of data pipeline engineering, ETL/ELT workflows, and distributed data systems.
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Experience with CI/CD tools and modern DevOps practices.
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Strong engineering fundamentals in Python, SQL, IaC, containers, and API integration.
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Demonstrated ability to resolve complex technical issues and drive incident management end-to-end.
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Ability to work directly with customers in a technical capacity.
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Familiarity with cybersecurity principles and willingness to own security and compliance topics.
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Proactive problem-solving attitude with strong ownership of outcomes.
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Experience with IoT ecosystems, device integration, or sensor networks.
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Affinity with hardware or operational production-line environments.
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Experience with large-scale storage systems (object stores, data lakes, distributed file systems).
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Background supporting ML/AI teams, GPU workloads, or high-performance compute environments.
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A high-impact role with broad ownership across cloud, data, operations, and security.
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Direct collaboration with AI and software engineering experts in a rapidly scaling environment.
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Autonomy to shape our infrastructure, reliability practices, and engineering roadmap.
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Exposure to diverse engineering challenges spanning cloud systems, cybersecurity, hardware integration, and data-intensive workloads.
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Opportunities to interact directly with customers, influence technical strategy, and drive continuous improvement across the organization.
