Director of Software Engineering at Acuity leading AI - enabled digital commerce platform development and transforming user experience with modern architecture.
About the role
- Senior Full-Stack Software Engineer developing a platform for configuring autonomous driving scenarios. Focusing on scalable web services and cloud deployment practices.
Responsibilities
- Lead the hands-on development of the platform's user interface
- Build, develop, and deliver high-quality, full-stack features from concept through deployment
- Write clean, performant, and maintainable production code for both frontend interfaces and distributed backend services
- Implement and manage integrations with core APIs (gRPC and REST) and data infrastructure
- Help maintain and improve CI/CD pipelines in GitLab and Jenkins
- Support the deployment and upkeep of containerized services managed by Docker and Kubernetes/Helm
- Actively participate in the code review process
- Identify, debug, and resolve complex technical issues, performance bottlenecks, and operational incidents
- Work closely with the Tech Lead and multi-functional teams (ML Engineers, Product Managers)
Requirements
- Master's degree (M.S.), or a Bachelor's degree (B.S.) in Computer Science, Software Engineering, Electrical Engineering, or a closely related technical field (or equivalent experience)
- Minimum 10+ years of hands-on experience developing and deploying scalable full-stack web services in a production cloud environment
- Deep expertise and proven track record in a modern frontend framework (e.g., React, Vue, Angular)
- Mastery of TypeScript and JavaScript for robust client-side development and state management architecture
- Proven proficiency in developing backend systems that handle high volume and growth using Python and/or Go
- Hands-on experience implementing and consuming APIs built with Protocol Buffers
- Solid practical experience with containerization using Docker and exposure to orchestration tools like Kubernetes and Helm
- Experience with cloud services, particularly AWS S3, and familiarity with SQL for data management
- Demonstrated knowledge of CI/CD practices along with experience using source control platforms like GitLab
- Experience with MaaS (Model-as-a-Service) patterns and serving large machine learning models as high-throughput endpoints
Benefits
- eligible for equity
- benefits
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