Platform Engineer designing and implementing scalable backend services for AI models. Focus on Python and infrastructure in a collaborative engineering team within an open-source environment.
Responsibilities
Design and implement scalable, maintainable platform architecture from the ground up, making strategic technical decisions that will shape our technology foundation
Build robust, high-performance backend services and APIs using Python, with optional Rust for performance-critical components
Implement infrastructure automation using modern DevOps practices and tools
Provide technical guidance on best practices, architecture decisions, and coding standards
Convert product requirements into fully functioning systems, taking ownership of features from concept to production
Requirements
Proven experience in software development, with a strong understanding of programming languages such as Python, Rust or Javascript.
Demonstrated success building systems from scratch in fast-paced environments
Strong proficiency in Python for backend development
Knowledge of Rust or willingness to learn for performance-critical components
Familiarity with cloud platforms (AWS/GCP/Azure)
Experience with containerization (Docker) and orchestration (Kubernetes)
Ability to design clean APIs, scalable architectures, and efficient data models
Experience with CI/CD pipelines, monitoring, and observability tools
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Familiarity with open-source projects and a passion for contributing to the open-source community.
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