Engineering Manager - Software/Cloud

Rivr Zürich, Zurich – Schweiz Veröffentlicht am 25/09/2026
Stellenbeschreibung
Overview

As Engineering Manager for the Fleet & Cloud Systems team, you lead a small yet impactful squad building the server-side brain of our robotics platform. You define the cloud roadmap to support a robotic fleet at scale, including ML workflows and deployment infrastructure with high availability. You collaborate across teams to deliver end-to-end robot operations features and field-ready tooling for observability and maintenance. This role combines hands-on leadership with technical decision-making to enable safe, reliable autonomous last-mile delivery. Joining during our Amazon integration, you help shape a fast, scalable robotics ecosystem.

Verantwortungsbereiche
  • Lead and develop a team of 5–8 DevOps, backend, and full-stack engineers, with performance management and culture-building.
  • Partner with other teams to design end-to-end features for robot operations and real-world delivery experiences.
  • Collaborate with the software organization to structure projects, align timelines, and execute plans.
  • Represent the team in technical and product discussions with senior stakeholders.
  • Own sprint planning, backlog grooming, and roadmap execution, removing blockers and maintaining velocity.
  • Evaluate technical decisions and tradeoffs, balancing short- and long-term impact.
  • Improve system availability, latency, and observability; oversee on-call rotations and post-mortems.
  • Translate operational requirements into concrete, scalable technical milestones that deliver value to the field.
Zentrale Anforderungen
  • 4+ years leading engineering teams, managing sprints, and coaching developers
  • 7+ years building/operating large-scale backend systems in SOA or microservices
  • Proven AWS architecture experience
  • Experience operating a complex SOA at scale and understanding failure modes
  • Experience building/operating ML training infrastructure within SDLC and handling sensitive data
  • Strong delegation skills while staying connected to technical details
  • Excellent judgment, ownership mindset, and ability to earn trust
  • Exceptional communication skills for both technical and non-technical stakeholders
  • leadership
  • ownership
  • communication
  • AWS
  • SOA/microservices
  • distributed systems
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