Data & Infrastructure Support Engineer

Are you someone who enjoys troubleshooting technical issues, investigating what's happening behind the scenes, and finding solutions to unfamiliar problems? Do you have an interest in AI technologies and enjoy working with logs, monitoring tools, and different technical platforms to understand how systems operate?

We're looking for a Data & Infrastructure Support Engineer to join ATI Business Group. In this role, you'll support the reliability and performance of our data and infrastructure environments while helping investigate technical incidents across different platforms. You'll review logs, dashboards, and alerts, identify potential root causes, and either resolve issues or escalate them with clear supporting information.

We're particularly interested in candidates with a background in DevOps, infrastructure, or technical support who have hands-on exposure to AI/LLM technologies. Candidates with experience developing or supporting AI-powered applications are also encouraged to apply. You'll have the opportunity to work across data platforms, infrastructure, RPA, and AI-enabled solutions as part of our evolving technology environment.

Key Responsibilities

• Provide first-line support for data, infrastructure, and AI-related incidents, investigating issues and determining appropriate resolutions or escalations.
• Monitor system health and performance through logs, dashboards, alerts, and monitoring tools to identify potential issues and their root causes.
• Support and troubleshoot infrastructure and data environments, including servers, cloud services, networking, data pipelines, ETL processes, and scheduled jobs.
• Assist in monitoring and troubleshooting AI/LLM-powered applications and integrations, identifying application errors, API issues, and service availability concerns.
• Manage support tickets, incident documentation, and stakeholder communication to ensure timely resolution and compliance with agreed SLAs.
• Support RPA environments and contribute to improving monitoring, troubleshooting procedures, and technical documentation across infrastructure, data, and automation platforms.

Is this you?

• Bachelor’s degree in Computer Science, Information Technology, Information Systems, Software Engineering, or a related technical field.
• Experience in DevOps, infrastructure support, technical support, application support, data operations, or AI application development.
• A strong troubleshooting mindset with the ability to investigate unfamiliar issues methodically and reach an initial diagnosis.
• Comfortable working with logs, dashboards, alerts, and observability/monitoring tools such as Grafana, Datadog, Azure Monitor, Splunk, or similar.
• Familiarity with SQL, basic data querying, and data pipeline/ETL concepts.
• Understanding of cloud infrastructure fundamentals across Azure, AWS, or GCP, including VMs, storage, and basic networking.
• Basic scripting skills in Python, PowerShell, or similar languages for troubleshooting and routine operational checks.
• Familiarity with ITSM tools such as Jira Service Management, ServiceNow, or equivalent, including incident management, escalation, and SLA processes.
• Able to follow and contribute to technical runbooks and documentation, with clear communication skills for handovers and escalations.
• Exposure to UiPath or other RPA platforms, including UiPath Orchestrator, robots, queues, or transactions, is a plus.
• Exposure to Microsoft Power Automate, AI/LLM-powered applications, or related automation technologies is also a plus.