About The Company
GROPYUS creates sustainable, affordable, and aspirational buildings for everyone through modular construction and setting a new standard in smart living.
About the Role
You will be part of a highly collaborative product team working at the core of our manufacturing facility transforming digital models into physical elements at scale. Product Teams at GROPYUS own what they build, including underlying infrastructure, build pipelines, automated testing, release and rollout management, monitoring, and support. You will be trusted to solve problems efficiently and effectively building on top of a solid architecture and operational foundation and will be encouraged to seek out under-attended topics and assume responsibility for them both within your product area as well as across product areas.
What you'll be doing
- Designing, building, testing and operating software solutions for logistics and manufacturing use cases incl. Robots, AGVs and other (semi) automated manufacturing equipment.
- Working in a hybrid infrastructure environment (cloud and on-prem), managing complex software deployments at scale
- Bringing a Site Reliability Engineering (SRE) mindset to monitor, maintain, and improve software uptime including reliable updates, latency, and efficiency
- Acting as a bridge between digital product delivery & physical logistics and manufacturing systems, ensuring both are aligned and integrated
- Helping define, monitor and evolve SLAs/SLOs as well as other important KPIs like e.g. OEE for critical systems
What you bring
- You are an experienced software engineer with a background in manufacturing or logistics systems, Site Reliability Engineering or software system operations
- You possess practical experience in some / all key areas of modern software development, including infrastructure, observability, testing, deployment pipelines incl. quality assurance, and scaling
- You have operated and supported large-scale software systems in cloud and non-cloud environments (on-premise)
- You have worked in companies with strong operational cultures, ideally in logistics or manufacturing – understanding the commercial impact of system downtime