AI System Engineer

Acumatica is a company on a mission. We are a leading innovator in cloud ERP (Enterprise Resource Planning) solutions with growing businesses worldwide. But don’t take our word for it—read what analysts like G2, IDC, Nucleus Research, and Info-Tech have to say about us. Acumatica is different by design and purposely built to help small and midsized companies thrive in today’s digital economy. Our industry-specific business management solution is engineered to address real-world needs—featuring intelligent workflows and market-leading usability that enable companies to manage risk, anticipate disruption, and seize new opportunities. Our principled business practices, growth-friendly licensing, and flexible deployment options put organizations in control of their own future. Acumatica is more than just a product—we are a community of partners, customers, and creators committed to elevating business performance. Our ecosystem is driven by collaboration, merging leading technology and real-world insights to put organizations control of their future. In May of 2025, Acumatica was acquired by Vista Equity Partners, a global investment firm focused on enterprise software, data and technology-enabled businesses.

Acumatica’s culture is collaborative and high-energy. We are passionate about our product and our mission, and we are loyal to each other and our company. We value work/life balance, efficiency, simplicity, freakishly friendly customer service, and making a difference in the world. Acumatica offers exceptional professional and financial growth potential. To learn more about Acumatica’s mission, please visit: http://www.acumatica.com.

We are looking for a talented Systems Engineer - AI/OPS to join our team and help us build and operate our AI/OPs platform. The successful candidate will be responsible for designing, implementing, and maintaining the infrastructure that supports our AI/OPs applications, ensuring high availability, scalability, and performance. The ideal candidate will have a strong background in systems engineering, AI/OPs, and cloud computing, with experience in designing and implementing large-scale distributed systems. 

Key Responsibilities: 

• Design and implement AI/OPs infrastructure: Design and implement scalable, highly available, and secure infrastructure to support AI/OPs applications. 

• Cloud computing expertise: Have expertise in cloud computing platforms such as AWS, Azure, or Google Cloud, and be able to design and implement cloud-based infrastructure. 

• Distributed systems: Design and implement large-scale distributed systems, including load balancing, caching, and message queuing. 

• Monitoring and observability: Implement monitoring and observability tools to ensure the health and performance of AI/OPs applications, including: 

• Active Directory for identity and access management 

• PRTG for network monitoring 

• Prometheus for metrics and monitoring 

• Grafana for data visualization and dashboards 

• Automation: Implement automation tools to streamline deployment, scaling, and management of AI/OPs applications, including: 

• JIRA for project management and issue tracking 

• JSM for service management and incident management 

• Collaboration: Collaborate with cross-functional teams, including engineering, product management, and operations, to ensure alignment and successful delivery of AI/OPs projects. 

• Troubleshooting: Troubleshoot complex issues related to AI/OPs applications and infrastructure. 

• Documentation: Maintain accurate and up-to-date documentation of AI/OPs infrastructure and applications. 

• Security: Ensure the security and compliance of AI/OPs infrastructure and applications. 

• Stay up-to-date: Stay current with industry trends and emerging technologies, and apply this knowledge to improve AI/OPs infrastructure and applications. 

• Bachelor's degree in Computer Science, Engineering, or related field: Required 

• 5+ years of experience in systems engineering: Required 

• 2+ years of experience in AI/OPs: Required 

• Cloud computing expertise: Required 

• Distributed systems expertise: Required 

• Programming skills: Proficient in programming languages such as Python, Java, or C++ 

• Experience with monitoring and observability tools: Required 

• Experience with automation tools: Required 

• Strong communication and collaboration skills: Required 

• Certifications: Relevant certifications such as AWS Certified SysOps Administrator or Google Cloud Certified - Professional Cloud Developer 

Nice to Have: 

• Master's degree in Computer Science, Engineering, or related field: Desired 

• Experience with machine learning and deep learning: Desired 

• Experience with containerization: Desired 

• Experience with orchestration tools: Desired 

Operating System Expertise: 

• Windows: Proficient in Windows Server and Client operating systems 

• Linux: Proficient in Linux distributions such as Ubuntu, CentOS, or Red Hat 

Tools and Technologies: 

• Active Directory: Proficient in Active Directory for identity and access management 

• PRTG: Proficient in PRTG for network monitoring 

• Prometheus: Proficient in Prometheus for metrics and monitoring 

• Grafana: Proficient in Grafana for data visualization and dashboards 

• JIRA: Proficient in JIRA for project management and issue tracking 

• JSM: Proficient in JSM for service management and incident management 

• Industry competitive salary
• Comprehensive Health & Life insurances  
• Hybrid working
• Office lunch
• Exposure to working with distributed global teams
• Paid paternity leave

Acumatica is an Affirmative Action and Equal Opportunity Employer/Veterans/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail [email protected].