Senior Software Engineer; Full Stack), Fleet Management

Senior Software Engineer (Full Stack), Fleet Management

About Advertima Vision

Advertima is building the missing infrastructure that brings the power of digital advertising to the physical world.

Today, most advertising inside physical retail stores still operates like the internet did twenty years ago: static screens, no audience intelligence, and almost no measurable performance. Meanwhile, online advertising evolved into a trillion-dollar ecosystem powered by real-time data, automation, and programmatic infrastructure.

We are changing that.

Advertima has built the technology that transforms physical retail environments into real-time, data-driven media channels. Using computer vision, edge computing, and distributed AI systems, we translate physical shoppers into anonymized digital audiences that can be measured, targeted, and activated in real time.

This is not a theoretical vision or an incremental improvement. It is the creation of a completely new global technology standard.

Global retail leaders such as Walmart, Carrefour, Fair Price, SPAR, and EDEKA are deploying our technology across thousands of stores. Together, we are defining the global standard for In-store Retail Media.

The technical challenge behind this is massive. Our platform operates across large fleets of edge AI devices deployed globally, processes real-world sensor data in real time, and integrates with complex cloud infrastructure and the global adtech ecosystem. Managing, provisioning, and maintaining the operational health of this expanding fleet is critical to our global scale.

At the same time, everything we build follows a strict privacy-by-design philosophy. Our systems operate without processing and storing personal data or images, while still enabling the audience intelligence required for real-time performance media. This approach, rooted in Switzerland’s strong privacy culture, has become one of the key reasons global retailers trust Advertima to power their next-generation Retail Media infrastructure.

Solving this combination of distributed systems, edge computing, AI inference, privacy-preserving data processing, and global-scale reliability is a hard engineering problem. To tackle this challenge, we are looking for an experienced Senior Software Engineer (Full Stack) specializing in Fleet Management to join our core engineering team in Zurich.

If you enjoy working on complex real-world systems, pushing the boundaries of edge and cloud infrastructure, and building mission-critical IoT fleet tools, Advertima offers a rare opportunity.

Your role…

• Frontend Development: Build and maintain user-facing applications in Leptos, ensuring usability, responsiveness, and design consistency across the fleet management platform.
• Backend Development: Design and implement backend services in Rust/Axum, modelling a complex business domain around IoT fleet management (device lifecycle, health state, provisioning, and remote operations).
• Data Modelling: Design and evolve database schemas that accurately represent fleet, device configuration, and operational state, balancing normalization, query performance, and long-term maintainability.
• API Design: Define clear API contracts between frontend, backend, and third‑party integrators.
• Software Quality & Security: Ensure high code quality through testing, code review, and secure‑by‑design practices across the application stack.
• CI/CD: Develop and maintain CI/CD pipelines for the relevant applications, enabling reliable and frequent releases.

• Education: BSc/MSc or PhD Degree in Computer Science, or equivalent practical experience.
• Experience: At least 5 years of experience in software development.
• Programming: Proficiency in Rust, preferably with hands‑on experience in Axum, Leptos, and Tokio.
• Database: Experience with Postgres and MQTT‑based data flows.
• Web Protocols: Deep understanding of HTTPS, Web Socket, SSE, and WebRTC.
• Auth & Identity: Familiarity with OAuth2/OIDC flows and JWT‑based authentication and authorization.
• AI‑Augmented Engineering: Experience orchestrating AI agentic tools within the development lifecycle, structuring tasks and context to get reliable output…