Automation & Robotic Expert

About the role

We’re hiring a Automation & Robotic Engineer/Analyst to join our Automation & Robotic team. Our mission connects suppliers automation systems to internal software platforms (WMS/WES) and automates processing pipelines. You’ll contribute software expertise, apply data-analysis principles to improve operational decisions, and drive R&D to prototype system-level solutions for intra-logistics and automation.

What you’ll do
• Design and implement software components that connect suppliers’ automation systems with internal WMS/WES and logistics services.
• Perform data analysis to identify bottlenecks, define KPIs, and support recommendations for system and process improvements.
• Build and maintain dashboards and KPI monitoring solutions to track the performance of key initiatives.
• Design end-to-end system and process flows across automation solutions, software platforms, and logistics operations to ensure efficient and reliable execution.
• R&D: evaluate new automation and robotics approaches, develop proofs of concept, and translate findings into actionable implementation plans.
• Work closely with product, operations, vendors, and engineering teams to deliver designed solutions.
• Preparing technical documents and share best practices across teams to accelerate adoption and reuse.
• Contribute effectively within a multidisciplinary environment by sharing knowledge, aligning technical efforts, and supporting team objectives.

Required qualifications
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical or academic experience.
• Experience with backend and frontend software development and strong programming skills in at least one language e.g. Python , Java or other programming languages commonly used in software platforms.

• Understanding of core networking concepts such as TCP/IP, APIs, and communication protocols used in distributed automation and logistics environments.
• Knowledge of software architecture principles for designing scalable, modular, and maintainable systems supporting WMS/WES and automation platforms.
• Solid hands-on experience with data analysis fundamentals, including SQL, data transformation, and extracting insights from event and log data.
• Curious and experimental mindset with demonstrated interest in R&D and structured development planning.
• Strong communication skills with the ability to bridge operations, product and engineering perspectives.
• Strong analytical and critical-thinking skills to identify root causes of complex technical and operational challenges and propose effective solutions.

Nice-to-have
• Experience with robotics middleware, frameworks, or industrial communication protocols.
• Background in logistics, warehousing, or fulfillment systems and related operational workflows.
• Familiarity with cloud platforms, containerization (Docker/Kubernetes), stream processing (Kafka), and observability tools.
• Exposure to machine learning models for process optimization, anomaly detection and forecasting.
• Familiarity with PLCs, conveyor control systems, or direct hardware interaction.
• Familiarity with enterprise logistics software such as ERP, OMS, WMS, or WES.