Director of Software Engineering overseeing end - to - end software development lifecycle at SNC. Leading a team towards Agile and DevOps transformation with a focus on quality, scalability, and security.
About the role
- Full Stack Engineer building production-ready generative AI systems that empower game studios. Collaborating with teams to develop scalable tools and workflows in a hybrid environment.
Responsibilities
- Design, build, and maintain full stack applications that integrate generative AI and machine learning capabilities into studio tools, developer platforms, and production workflows.
- Develop scalable backend services, APIs, and data pipelines that power AI-driven systems used across game development and studio operations.
- Build intuitive, responsive interfaces that allow developers, artists, and creative teams to interact effectively with AI-powered tools.
- Rapidly prototype and experiment with new AI-driven capabilities, validating ideas and evolving successful prototypes into reliable production systems.
- Apply a range of AI and machine learning techniques, selecting the right approaches for real-world production environments and creative workflows.
- Implement and integrate AI systems using modern orchestration approaches and emerging standards such as Model Context Protocol to support modular, extensible AI workflows.
- Partner cross-functionally with research, platform, product, security, and studio engineering teams to translate emerging capabilities into practical tools and services.
- Own systems end to end, including architecture, implementation, deployment, monitoring, and continuous improvement.
Requirements
- Strong proficiency with Python and JavaScript or TypeScript, with 5+ years of experience building backend services and modern frontend applications.
- Experience designing and shipping full stack software in production environments, with a focus on reliability, performance, and maintainability.
- Experience integrating AI into real-world applications, including model inference, orchestration approaches such as tool calling, retrieval augmented systems, or protocols like Model Context Protocol.
- Experience working with cloud infrastructure such as Azure, Google Cloud Platform, or similar environments, including deploying and operating services at scale.
- Familiarity with machine learning fundamentals and applied AI techniques, including familiarity with deep learning approaches such as convolutional neural networks and generative models.
- Comfort working with containerization and modern infrastructure practices such as Docker, Kubernetes, and cloud managed services.
Benefits
- Medical, dental, vision
- Health savings account or health reimbursement account
- Healthcare spending accounts
- Dependent care spending accounts
- Life and AD&D insurance
- Disability insurance
- 401(k) with Company match
- Tuition reimbursement
- Charitable donation matching
- Paid holidays and vacation
- Paid sick time
- Floating holidays
- Compassion and bereavement leaves
- Parental leave
- Mental health & wellbeing programs
- Fitness programs
- Free and discounted games
- Various voluntary benefit programs
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