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