Systems Engineer

• Deploying a SaaS-based MAM platform with cloud storage for a major Hollywood studio
• Building high-end editorial and finishing suites in a large-scale production environment for a major retailer
• Integrating AI-driven metadata tagging into post-production pipelines to streamline media management

• Implement and optimize comprehensive media technology platforms—including MAMs, DAMs, project management systems, data orchestration tools, and media lifecycle management solutions—across on-premises, cloud, and hybrid environments.
• Configure and optimize SAN, NAS, and cloud-based storage platforms, along with the supporting network infrastructure that ensures their performance, reliability, and scalability
• Collaborate with CHESA’s Solutions Consulting, Sales, and Support teams for seamless project delivery
• Document system configurations, workflows, and client communications in detail
• Identify upsell opportunities during deployments and coordinate with the sales team
• Train editorial, creative, and technical users on new systems and workflows
• Manage multiple projects concurrently while ensuring accurate billing and reporting
• Escalate complex technical issues to internal teams and third-party vendors with appropriate context
• Provide consultative guidance to clients and help distinguish between scope changes and change orders
• Participate in continuous learning through certifications, vendor training, and self-development

Our compensation package includes:

• Medical, Dental, and Vision Insurance
• 401(k) with Company Match
• Paid Time Off (PTO) and Company Holidays
• Short- and Long-Term Disability Coverage
• Life Insurance
• Travel opportunities for client engagements
• Remote work flexibility, depending on project requirements

• 3–5+ years in systems engineering, IT infrastructure, broadcast engineering, or post-production technical support
• Experience in customer-facing roles such as pre-sales engineering, consulting, or managed services
• Understanding of media production workflows including ingest, editorial, finishing, delivery, and archive

• Proficiency with shared storage technologies (SAN, NAS), backup, and archive solutions
• Familiarity with Media Asset Management platforms such as Iconik, Mimir, CatDV, or similar
• Experience with AWS, Azure, GCP or others  for media workflows and cloud storage
• Strong networking fundamentals including Layer 2/3, VLANs, DNS, and VPN configuration
• Operating system knowledge across macOS, Linux, and Windows environments
• Exposure to automation/orchestration tools, including no-code/low-code platforms
• Scripting knowledge (Bash, Python, or PowerShell) is a plus
• Interest or experience in AI/ML applications for metadata tagging or media analysis is highly desirable

• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Organized and capable of managing multiple parallel workstreams
• Strong teaching and training skills for empowering users
• Creative, consultative problem-solver with a client-first mindset
• Comfortable working independently or collaboratively, in-person or remotely