Temporary Cloud Operations Engineer Jobs in Wisconsin

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.