Software Architect

Zynga•Toronto, ON

About The Position

Come join the AI team at Zynga making an impact across all of the company's games - Central Technology! As a Software Architect you will be responsible for the technical vision, design and implementation of AI-powered tools and systems that elevate developer productivity and player experiences at scale. We're looking for outstanding engineers with a passion for artificial intelligence and the desire to work in a team with dynamic strengths.

Requirements

Bachelor’s or Master’s degree in Computer Science, or equivalent
8+ years of professional experience in software development of cloud based software
Experience with AI/ML systems integration at the platform layer.
Demonstrated expertise in Python across multiple programming languages, architectures, and system types.
Strong familiarity and experience using AWS and/or other cloud computing platforms (IaaS, PaaS, SaaS)
Experience with containers and Kubernetes/EKS
Experience with database systems (SQL, NoSQL)
Deep understanding of algorithms, design patterns, debugging and performance optimization
Excellent interpersonal skills and the ability to communicate with senior leadership with confidence and clarity

Nice To Haves

Familiarity with web development using JS, Angular and React is a plus

Responsibilities

Design and architect scalable AI systems, full stack applications, and cloud infrastructure running in AWS with a focus on LLM-powered services and agentic workflows
Own cross-cutting architecture decisions and the technical strategy for AI tools that multiple game studios and engineering teams across Zynga depend on
Establish and uphold engineering standards: code quality, testing, review culture, CI/CD, and reliability practices.
Advocate for and implement new AI technologies, frameworks, and engineering standards, keeping the team at the forefront of a rapidly evolving landscape
Evaluate and choose AI platforms and infrastructure with a long-term lens.
Document and build comprehensive plans for architecture and system designs across the AI tooling ecosystem.
Work collaboratively across game studios, product, and central technology teams to understand developer needs and propose AI-driven solutions that meaningfully improve productivity
Establish engineering processes and metrics to measure software process, operations, and quality
Partner with stakeholder on realistic scoping and sequencing; flag technical risk early.
Coach and mentor engineers