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.

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.

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.