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David Careers

Sr. Developer / Solution Architect

Posted 54 days ago

mga entertainmentLos Angeles (CA)
Computer Systems Engineers/ArchitectsComputer Systems Design Services

SENIORITY

Lead

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About the role

Role Purpose: The Lead Architect will establish and guide the architectural foundation for our global MGA's emerging solution development and automation enablement capability. This is a hands-on, technical leadership role responsible for building the frameworks, environments, and standards needed to prototype agent-driven solutions quickly and transition them into MGA's traditional IT ecosystem. The Lead Architect will define the technical pathways that connect experimentation with enterprise readiness — building a sandbox environment, establishing integration patterns, and ensuring solutions can scale securely across the business. This role blends modern software engineering, cloud-native development, and strong knowledge of traditional IT systems (ERP, data platforms, infrastructure, cybersecurity). This position is the anchor of MGA's move from a support-focused IT model to a product-centric, innovation-driven technology organization.
Key Responsibilities:
  • Strategic Architecture Leadership Establish the architectural vision and standards for automation and agent-enabled product development.
  • Define MGA's technical framework for rapid proof of concept, modular development, and scalable integration.
  • Build the foundation for an internal product engineering capability operating alongside traditional IT.Translate long-term technology strategy into actionable reference architectures and reusable patterns.
  • Engineering & Platform Ownership Design and build the company'sautomation sandbox environment, ensuring secure, compliant, and scalable experimentation.
  • Develop the transition pipeline — moving prototypes into enterprise-ready solutions through defined quality, security, and performance gates.
  • Own API strategy, integration patterns, microservice architecture, data access frameworks, and cloud infrastructure design.
  • Deliver reference implementations, starter templates, and tooling that accelerate product team velocity.
  • Automation Enablement & Solution Architecture Partner with
  • Solution designers, Data miners, and Engineeringteams to architectautomationenabled features, workflows, and applications.
  • Define the standards for model deployment, vector search, data pipelines, and runtime hosting.
  • Ensure solutions integrate properly with core enterprise systems (ERP, CRM, eCommerce, Data Warehouse).Enterprise Alignment Serve as the bridge between modern development practices and the existing enterprise IT estate.
  • Ensure all new solutionsfit MGA's security, governance, compliance, and operational standards.
  • Collaborate with Infrastructure, Cybersecurity, ERP, and Data warehouseteams to ensure smooth integration and long-term maintainability.
  • Maintain architectural consistency across environments, products, and teams. Team Leadership & Culture Act as the senior-most technical mentor for full-stack developers, ML engineers, and platform engineers.
  • Build a culture of pragmatic, hands-on engineering balanced with disciplined architectural thinking.
  • Contribute to building MGA's internal product engineering team structure and capability.
  • Provide coaching and guidance that grows mid-level engineers into future technical leads.
  • Key Deliverables (First 18–24 Months) Publish MGA's Architecture Framework for AI-enabled solution development.
  • Build the business process automation sandbox environment and secure access model.
  • Deliver the transition pipeline for promoting prototypes into production.
  • Produce reference architectures and reusable components for APIs, integrations, and automation workflows.
  • Support the launch of multiple AI-enabled products/solutionsor automation across business units.
  • Establish core architectural guardrails for ERP, data, integration, and cloud alignment.
Experience & Qualifications: 7–12years experience in software engineering or solution architecture. Hands-on expertise in cloud-native development (AWS/Azure/GCP), containers, and modern application architectures. Experience deploying AI/ML systems, LLM-based applications, or automation frameworks. Strong understanding of enterprise technologies: ERP systems, system integrations, data platforms, Power Platforms, identity management. Proficient with DevOps practices (CI/CD, IaC, observability) and secure-by-design engineering principles. Prior experience in modernization environments or product engineering teams. Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).

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