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Senior Software Engineer - Cloud

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: United States Digital Space LLC
Full Time position
Listed on 2026-06-30
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 120000 EUR Yearly EUR 80000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: Senior Staff Software Engineer - Cloud

The company is an AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. The company's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, the company delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more.

The company currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. The company is funded by the Soft Bank Vision Fund, Clearbridge, and Qualcomm Ventures.

Position Overview

The Sr Staff Software Engineer - Cloud (Technical Lead Manager) is a key contributor within the company's engineering organization leading the design and development of large-scale, high-availability systems powering the company's cloud platform. This platform connects our global fleet of autonomous robots, manages data ingestion from the field, and supports advanced machine learning pipelines for perception, analytics, and operational insights. This dual role will serve as both a technical leader and people manager, guiding a team of cloud engineers while contributing hands‑on to the architecture, design, and implementation of next‑generation cloud services.

The engineer will work closely with ML engineers, data scientists, and infrastructure teams to build scalable cloud‑based machine learning systems that handle massive volumes of image data and deliver efficient inference at scale.

This role is located in our Utrecht, Netherlands office.

Essential Job Functions
  • Lead and manage a team of cloud software engineers, providing technical mentorship, career guidance, and performance management
  • Define and execute the cloud technical roadmap, ensuring alignment with the company's business and product goals
  • Architect and implement high‑availability, scalable, and secure systems on Google Cloud Platform (GCP) to support machine learning workloads and data ingestion at scale
  • Design, build, and operate ML pipelines that process hundreds of thousands of images daily, enabling rapid model iteration and deployment
  • Develop and optimize GPU resource management strategies, improving model serving throughput, latency, and cost efficiency
  • Build canary and staging environments to ensure safe, progressive deployments and system resilience
  • Collaborate cross‑functionally with ML, Dev Ops, and robotics teams to define APIs, data models, and operational workflows for cloud‑robot communication
  • Implement Infrastructure‑as‑Code (IaC) solutions using Pulumi, Terraform, or equivalent, ensuring repeatable and automated deployments
  • Establish and maintain cloud observability systems, ensuring reliability, performance, and security compliance
  • Drive technical excellence, setting coding standards, reviewing designs, and promoting best practices in distributed systems and cloud ML architectures
  • Stay current with advancements in GCP, ML infrastructure, and MLOps to continuously improve platform capabilities and team practices
Education and/or Work Experience Requirements
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
  • 10+ years of professional software engineering experience, including 3+ years in cloud architecture or large‑scale distributed systems
  • 3+ years of technical leadership or management experience, preferably in a Technical Lead Manager or team lead capacity
  • Proven experience designing and operating GCP‑based ML systems at scale
Required Knowledge, Skills, Abilities and Other Characteristics
  • Expert‑level knowledge of Google Cloud Platform (GCP) services such as GKE, Dataflow, Big Query, Cloud Run, Pub/Sub, Vertex AI, and Cloud Storage
  • Strong proficiency in Go, Python, or Type Script, with an emphasis on maintainable, production‑quality code
  • Deep understanding of machine learning pipelines: data ingestion,…
Position Requirements
10+ Years work experience
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