Software Engineer – Real-time Autonomous Retail Platform

About the role

Sensei is building a real‑time autonomous retail platform that combines AI, computer vision and edge data. As a Software Engineer you will design, develop and maintain the distributed services that power this platform, ensuring low latency, scalability and reliability.

Key responsibilities

• Design, develop and maintain scalable micro‑services and real‑time data pipelines.
• Build event‑driven architectures using Kafka or other pub/sub systems to process high‑throughput streams.
• Implement robust APIs and inter‑service communication with gRPC, RTCP and Protobuf.
• Containerize applications and orchestrate them with Docker and Kubernetes.
• Create and maintain CI/CD pipelines using GitHub Actions for automated testing and deployment.
• Set up logging, monitoring, alerting and observability with Datadog, Prometheus and Grafana.
• Work with CV/ML teams to integrate model inference pipelines into production services.
• Ensure reliability, fault tolerance and performance of all deployed systems.
• Participate in code reviews and testing activities.

Required profile

• Strong software engineering background with experience in distributed, event‑driven systems.
• Ability to work collaboratively with Computer Vision, Data Engineering and DevOps teams.
• Proven problem‑solving skills and attention to production‑grade quality.
• Passion for building high‑performance, low‑latency services.

Required skills

• Kafka (or similar pub/sub)
• gRPC
• RTCP
• Protobuf
• Docker
• Kubernetes
• GitHub Actions
• Datadog
• Prometheus
• Grafana