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Software Engineer – Real-time Autonomous Retail Platform

Sensei · Lisbonne

Nouveau
🇬🇧 English
Kafka gRPC RTCP Protobuf Docker Kubernetes GitHub Actions Datadog Prometheus Grafana

Description du poste

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

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