Software Engineer

About Sensei: Sensei is truly revolutionising the retail business and technology sectors with innovative solutions. Our in-house systems enable us to digitise physical stores and power them with the most advanced AI, computer vision, and real-time data processing technology — all within a reliable, cost-effective, and privacy-driven platform. This delivers the most seamless, checkout-free shopping experience in the world.

Our technology already operates in multiple countries with leading retailers and distinguishes itself by offering a unique, frictionless retail experience that welcomes all shoppers and payment methods, with real-time basket management and analytics.

About Your Team: The Software Engineering team is at the heart of Sensei's platform, building the distributed systems that make autonomous retail possible. Our engineers design, develop, and deploy high-performance services that process real-time data streams from multiple sources, including cameras, sensors, and edge devices, ensuring reliability, scalability, and low latency. By combining strong engineering principles, DevOps culture, and automation, the team's mission is to deliver production-grade systems that integrate seamlessly with Sensei's AI and Computer Vision technology.

How Can You Help? We're looking for a smart, highly qualified

Software Engineer

who will play a key role in designing, implementing, and maintaining the backbone of Sensei's real-time autonomous retail platform. You will work on distributed and event-driven systems, microservices, and end-to-end pipelines that connect vision-based AI insights with robust, on-premise and cloud infrastructures.

You'll collaborate closely with Computer Vision (CV), Data Engineering, and Dev-Ops teams, ensuring our systems are performant, observable, and production-ready. You will also be responsible for improving deployment pipelines, implementing best practices for software development, service communication, system monitoring, and delivering resilient, scalable software solutions.

At Sensei, you'll be at the forefront of redefining how software supports next-generation AI-based retail experiences.

Daily at Sensei, You Will:

Design, develop, and maintain scalable microservices and real-time data pipelines.

Work with event-driven architectures (Kafka, pub/sub) to handle high-throughput, low-latency data.

Implement robust APIs and inter-service communication using gRPC, RTCP, and Protobuf.

Contribute to containerization and orchestration using Docker and Kubernetes.

Develop and manage CI/CD pipelines (GitHub Actions) for automated testing and deployment.

Implement logging, monitoring, alerting, and observability with Datadog, Prometheus, and Grafana.

Collaborate with the CV/ML teams to integrate model inference pipelines into production services.

Handle camera image stream synchronization and real-time data processing.

Ensure strong reliability, fault tolerance, and performance across all deployed systems.

Participate in code reviews, testing automation, and continuous improvement initiatives.

Stay up to date with modern software engineering practices and share insights with your peers.

You Will Bring to the Table:

M.Sc. in Computer Science, Software Engineering, or a related field, or equivalent professional experience.

2+ years of experience in backend software development, preferably in distributed or real-time systems.

Strong knowledge of Python.

Solid understanding of microservices architecture, Docker, Kubernetes, and gRPC/Protobuf.

Familiarity with event-driven systems (Kafka, ROS, or other pub/sub frameworks).

Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, etc.).

Strong understanding of software testing, end-to-end integration, and system debugging.

Working knowledge of build systems, linters, and code quality assurance tools.

Excellent collaboration and communication skills; fluent in English (our daily working language).

Nice-to-have:

Familiarity with monitoring, tracing, and observability tools (Grafana, Datadog, Prometheus).

Familiarity with edge computing, real-time camera or sensor systems, or IoT pipelines.

Experience in real-time data processing and streaming architectures.

Familiarity with DevOps best practices, infrastructure as code, or service orchestration.

Solid foundation in object-oriented design, concurrency, and system performance optimization.

Contributions to open-source or experience working in high-availability production environments.

After Six Months, Success Means:

Successfully delivered at least one real-time microservice or component into production, showing high-quality code leading to efficiency, latency, or scalability.

Familiarized with Sensei's distributed architecture, communication protocols, and CI/