We are looking for a Backend Engineer to join our MLOps team and help build the infrastructure that powers cutting-edge AI models. In this role, youll manage the end-to-end MLOps lifecycle, designing event-driven systems that handle massive video data and moving compute-intensive, generative models from research to production. You'll collaborate closely with AI researchers and video-processing teams to ensure our AI services are scalable, reliable, and performant.
Requirements:
6+ years of production-grade Python development experience.
Strong background in distributed systems: Youve built and debugged complex, event-driven architectures (e.g., Kafka, microservices).
Expertise in Data Engineering at scale: Experience building massive data pipelines and architecting Data Lakes (S3) with compute layers like Athena for large-scale analysis.
Deep understanding of the MLOps lifecycle: Experience taking models from training to deployment, including versioning and performance monitoring.
Experience with containerized environments, microservices, and Kubernetes.
Experience with workflow management frameworks (Temporal, Airflow) and asynchronous programming.
Experience with cloud platforms (AWS preferred) and model-serving frameworks (Triton, VLLM/SGLang, Ray Serve).
A love for exploring new tech and the drive to implement modern frameworks that move the needle.
6+ years of production-grade Python development experience.
Strong background in distributed systems: Youve built and debugged complex, event-driven architectures (e.g., Kafka, microservices).
Expertise in Data Engineering at scale: Experience building massive data pipelines and architecting Data Lakes (S3) with compute layers like Athena for large-scale analysis.
Deep understanding of the MLOps lifecycle: Experience taking models from training to deployment, including versioning and performance monitoring.
Experience with containerized environments, microservices, and Kubernetes.
Experience with workflow management frameworks (Temporal, Airflow) and asynchronous programming.
Experience with cloud platforms (AWS preferred) and model-serving frameworks (Triton, VLLM/SGLang, Ray Serve).
A love for exploring new tech and the drive to implement modern frameworks that move the needle.
This position is open to all candidates.
