Job Description City: Burbank, CA Onsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility) Duration: 17 Months Rate Range: Upto $103.50/hr on W2 Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have: • Backend programming (Java, Python, C++, or Go) • Frontend frameworks (React, Streamlit, or similar) • SQL and database querying • Cloud-based application architecture • AI/ML tooling and infrastructure (MLOps) • CI/CD pipelines and automated build, test, deployment • AI coding tools (Cursor, Claude or similar) Responsibilities: • Define and oversee technical architecture for new production and innovation tools during proof-of-concept, prototype, and pilot phases. • Design scalable cloud-based solutions and document technical specifications, architecture diagrams, and integration points. • Collaborate with internal engineering teams and external vendors to deliver technology solutions aligned with security and system standards. • Evaluate technologies and select appropriate tools based on use cases and user requirements. • Maintain technology roadmaps supporting the evolution of solutions through innovation cycles. • Conduct code reviews, propose alternate implementations, and troubleshoot technical issues. • Lead architecture discussions and guide engineering teams on system design and implementation. • Build and maintain CI/CD pipelines for automated build, testing, and deployment. Qualifications: • Bachelor's degree in Computer Science or related field. • 8+ years of experience in software engineering or technical architecture roles. • Experience designing and implementing cloud-native applications. • Hands-on experience with backend development and modern frontend frameworks. • Experience deploying and productizing applications. • Experience with AI/ML tooling and infrastructure. • Strong experience with CI/CD pipelines and automated deployment processes. • Experience working in Agile environments (Scrum or Kanban). Nice to Have: • Unity or Unreal development experience • AR/VR technologies • Media technology or digital production workflows • Advanced degree in Computer Science • Experience with AI/ML model development or integration • Industry publications or conference contributions