Senior Software Engineer, Data and AI Infrastructure

📋 Description

• Design, build, and operate highly available data and AI infrastructure on Kubernetes and public
• Develop scalable platforms for streaming, batch processing, and real-time data workloads using
• Build and evolve AI infrastructure, including AI gateways, model-routing layers, traffic
• Develop self-service capabilities that enable data, AI, and application teams to deploy and operate
• Partner with engineering teams to translate emerging data and AI requirements into durable platform

🎯 Requirements

• 5+ years in DevOps, SRE, or platform engineering, owning production systems end to end.
• Strong experience designing, operating, and troubleshooting production Kubernetes environments.
• Experience building or operating distributed data infrastructure with technologies such as Kafka
• Hands-on experience with at least one major public cloud platform, such as AWS, Google Cloud, or
• Strong knowledge of cloud and container networking, including DNS, load balancing, ingress, service
• Proficiency in one or more of Go, Python, or Java, with experience writing maintainable production

🎁 Benefits

• Platform engineering experience, particularly building internal developer platforms or paved-road
• Hands-on experience with serving technologies such as SGLang, vLLM, or NVIDIA Triton Inference
• Knowledge of GPU scheduling, batching, model parallelism, memory management, autoscaling, and
• Experience improving the cost efficiency of large-scale data processing or AI inference workloads.
• Contributions to infrastructure, data-platform, Kubernetes, or AI-serving open-source projects.