Director, IT Data Engineering

Serve as the hands-on technical leader responsible for architecting and building enterprise-scale, AI-enabled products from concept through production.

Day-to-Day Responsibilities:

• Design and build scalable systems from scratch across cloud and on-prem environments
• Define architecture and technical direction across multiple product initiatives
• Develop PoCs and convert them into production-ready solutions
• Lead complex integrations across third-party systems and internal platforms
• Build and deploy full-stack applications with strong backend focus
• Troubleshoot and resolve complex production issues
• Partner with product and leadership to influence roadmap and technical decisions
• Mentor engineers and elevate engineering best practices
• Serve as the primary technical decision-maker across projects
• Communicate technical concepts clearly to both technical and non-technical stakeholders

• Must-Haves:

• 12-15 years of software engineering experience
• 4 years in a Principal or Architect-level role
• Strong backend development experience (.NET/C# preferred; Java acceptable)
• Proven experience building systems from scratch and owning architecture end-to-end
• Experience designing and scaling full-stack applications
• Deep expertise in third-party integrations and APIs
• Strong cloud experience (AWS, Azure, or GCP)
• Experience with databases and distributed systems
• Familiarity with containerization and modern architectures
• Proven ability to build PoCs rapidly and productionize them
• Experience with AI-enabled or web-based systems
• Bachelor's degree required
• Strong communication skills with both technical and non-technical stakeholders
• Ability to operate with high autonomy and ownership

• Nice-to-Haves:

• Experience with AI/ML, including LLMs or Vision AI
• Exposure to hardware/software integrations (IoT, device communication)
• Experience in hybrid-cloud or air-gapped environments
• Familiarity with messaging systems (Kafka, RabbitMQ)
• Experience with advanced AI models (e.g., VLMs)
• Background in security systems, IoT, or hardware integrations

This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility