Logistics Process Engineer & Automation Specialist (gn) - Elsdorf

Forward Deployed Engineer At Dexory, we believe that real-time data will revolutionise the logistics industry. We are building the ultimate data insights platform that provides companies with unprecedented access to their operations through autonomous data capture and digital twins. As a Forward Deployed Engineer at Dexory, you will sit inside the engineering organisation as an intelligent interface layer between our various engineering teams. Dexory operates with a global fleet of autonomous robots, supported by a 24/7 first-line support team. The Forward Deployed Engineer sits above that layer, taking ownership of complex, ambiguous issues and driving them to resolution or to the right team. You will be one of Dexory’s first Forward Deployed Engineers, representing Dexory at the highest level in customer environments and helping to define how this function operates as we scale. This is a technically demanding role for someone who is as comfortable spotting patterns across weeks of telemetry data as they are at supporting a new customer deployment on the ground. You will query data across logs, databases, and observability tooling, interpret point cloud scan data, and navigate Grafana, AWS, and a range of robotics-specific tooling to investigate issues and understand their root cause. Crucially, you will also use what you learn to improve things — identifying recurring failure modes, feeding structured insights back into the engineering teams, and raising the platform’s reliability across our global fleet. You will also support new customer deployments end-to-end, bridging WMS and network integration questions with robot operational and perception configuration requirements. The right person is defined by their investigative instinct and technical curiosity, not their robotics or logistics background. Domain knowledge is built on the job through close collaboration with the engineering teams.   KEY RESPONSIBILITIES * Cross-functional Triage & Investigation: Receive escalated issues from the first-line support team and investigate independently before routing to the relevant engineering teams. Query telemetry data, robot logs, AWS infrastructure, internal tooling and databases — including scan and point cloud data where relevant — to narrow the blast radius of a problem and form a view on root cause before pulling in specialist teams. * Observability & Monitoring: Navigate Grafana dashboards and internal tooling to monitor fleet and site health. Build or extend dashboards and alerting that improve visibility into system performance across deployed sites. Use telemetry data proactively to identify issues before they surface as customer complaints. * New Customer Deployment Support: Work within customer systems to provide white glove deployment support for the Dexory platform end-to-end, covering WMS and ERP integration queries, network and connectivity requirements, robot operational setup, and perception feature configuration. Act as the cross-functional point of contact who can answer or route questions across the full Dexory system. * Intelligent Escalation & Routing: Own the escalation path from first-line support through to the right engineering team. Ensure that when specialist engineers are brought in, they receive a well-structured summary of what has already been investigated, what has been ruled out, and the most likely failure domain. * Customer Communication: Act as a trusted technical advisor to strategic customers throughout deployment and into long-term steady-state operation. Build strong, lasting relationships with customer engineering and operations stakeholders, proactively identifying new opportunities to drive value throughout the lifecycle of an engagement. Run technical workshops and training sessions that drive lasting adoption. Produce clear, professional documentation covering deployment architectures, integration designs, and operational runbooks. * Product & Engineering Feedback: Identify recurring failure patterns across sites and translate them into structured product and engineering feedback. Contribute to internal knowledge bases and runbooks that reduce investigation time for future issues. * Tooling & Automation: Write scripts and tooling that automate repetitive investigation or deployment tasks. Contribute to reusable frameworks that improve the efficiency and consistency of the FDE function as the team grows.   REQUIRED QUALIFICATIONS & EXPERIENCE * 4–5+ years of professional solutions engineering or technical operations experience, with a demonstrated ability to advise customer setups and investigate and diagnose complex, multi-system problems independently. * Strong data querying skills: comfortable writing SQL, navigating time-series telemetry data, and pulling structured insight from large, noisy datasets. * Hands-on experience with observability tooling such as Grafana, including building dashboards and using metrics data to diagnose production issues. * Comfortable working in Linux environments: SSH, bash scripting, log analysis, and networking fundamentals. * Experience with cloud infrastructure (AWS or equivalent), containerised deployments with Docker and Kubernetes, and modern data pipeline tooling. * Proficiency in Python or an equivalent scripting language for investigation tooling, automation, and data analysis. * Hands-on experience with AI-assisted development tooling (Anthropic, Google Gemini, OpenAI, or similar). * Strong cross-functional communication skills: able to summarise a complex technical investigation clearly for both engineering teams and customer stakeholders. * High agency with an ability to navigate ambiguity. Comfortable forming and defending an independent view in complex, multi-system situations and driving issues to resolution without close direction. * Willingness and ability to travel internationally to customer sites across Dexory’s global deployment footprint.   NICE TO HAVE * Familiarity with robotics systems, ROS2, or point cloud / LiDAR data, or genuine curiosity and aptitude to learn quickly on the job. * Experience with robotics visualisation tooling. * WMS or ERP integration experience (SAP, Manhattan, Oracle WMS, or similar). * Exposure to real-time messaging protocols such as Zenoh, MQTT, or gRPC. * Consulting or structured delivery experience, with familiarity with the discipline of client accountability and project-based delivery.   Benefits Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles: * Performance: High standards, outstanding results, * Impact: Big challenges, bigger results * Commitment: All in, every time * One team: One mission, shared success Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world-changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision.  You will also receive: * Private healthcare via Bupa with 24/7 medical helpline  * Life insurance * Income protection  * Pension: 4+% employee with option to opt into salary exchange, 5% employer * Employee Assistance Programme - mental wellbeing, financial and legal advice/support  * 25 holidays per year  * Full meals onsite in Wallingford * Fun team events on and offsite, snacks of all kinds in the office    AAP/EEO Statement   Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training

Rebl Industries builds robotic workmates that companies subscribe to instead of buying. Our robots deploy in weeks, learn continuously and take over repetitive, heavy and precision-demanding tasks. With a unique Robot-as-a-Service model, we make automation flexible, scalable and accessible for businesses that want results without the traditional complexity and investment costs of automation projects. We’re a fast-growing, ambitious scale-up working at the intersection of robotics, AI, software and real-world production. Read more about us at www.rebl.industries The logistics industry is undergoing its biggest technological transformation yet. Do you want to be part of it? Join the team shaping the future of warehouse automation At Rebl Industries, we build robotic workmates that companies subscribe to instead of buying. Our robots are deployed within weeks, improve continuously, and take over repetitive, heavy, and precision-demanding tasks. Through our Robot-as-a-Service model, we make automation more flexible, scalable, and accessible for companies looking to modernize without the traditional complexity or large upfront investment.We’re a fast-growing scale-up operating at the intersection of robotics, AI, software, and industrial production. Having recently expanded our engineering team, we are now looking for several new software engineers to continue building the next generation of intelligent automation. What you will do As a Software Engineer at Rebl, you will help build the technical foundation for the next generation of robotic coworkers in warehouse and logistics environments. You will develop core systems and applications in close collaboration with automation engineers and AI specialists.work will span backend, frontend, algorithms, AI models, and integrations with our automation platform. You will contribute to both new development and product evolution, while also supporting deployed solutions as we scale. What we’re looking for We are looking for several developers and strongly believe in the value of combining different competencies, backgrounds, and levels of specialization. Whether you are a specialist or a broad full-stack engineer, you likely bring some of the following: A university degree (BSc or MSc) in Computer Science, Software Engineering, Mechatronics, or a related technical field 3–5+ years of professional experience in software engineering within a relevant industry Experience designing, developing, and maintaining backend and/or frontend applications using C#, Python, C++, and TypeScript Solid understanding of CI/CD pipelines in GitHub and application containerization Experience working with digital twin solutions and IoT frameworks Proficiency in developing REST APIs, database structures, and system integrations Experience with 3D engines and visualization applications Familiarity with algorithms and AI modules for motion planning, object recognition, and classification Experience building, training, and integrating AI models such as SAM and SAM2 for vision and automation applications Experience developing annotation tools and training/classification strategies for neural networks Fluency in Swedish, both spoken and written Your mindset You have a broad technical mindset and enjoy moving between backend, frontend, and different technologies. You are curious, hands-on, and proactive, and you enjoy turning ideas into working solutions quickly.You take ownership, communicate clearly, and collaborate naturally across disciplines. You thrive in a scaling environment where speed matters, structure evolves, and experimentation is encouraged. Most importantly, you want to build products that create real-world impact and deliver tangible results. Why Rebl Industries At Rebl Industries, you become part of a sharp, ambitious, and supportive team where your work has immediate impact. You help shape the future of robotic automation — not in theory, but through real industrial deployments.As we continue scaling into new markets and applications, your ideas, code, and technical decisions will help define both our product and our future. Apply now In this recruitment process, Rebl Industries collaborates with Mpya Sci & Tech. For questions regarding the position, you are welcome to contact Rebecca Reuterberg at +46 70 791 57 05 or rebecca.reuterberg@mpyascitech.com.We review applications on an ongoing basis, so don’t hesitate to apply via www.mpyascitech.com, as the position may be filled before the final application date.