Senior Cloud
vor 2 Wochen
ONIQ is on a mission to transform manufacturing for a more sustainable and efficient future. With the IQA Lean Copilot, we are pioneering a new category in industrial tech - combining lean production principles with AI, process mining, and advanced data analytics. Our software empowers manufacturers to systematically identify inefficiencies, accelerate improvements, and scale operational excellence across their global production networks.
We are a highly motivated team with a strong sense of ownership and passion for what we do. Our entrepreneurial mindset and commitment to innovation have enabled us to grow fast and shape the future of digital lean and green manufacturing. At ONIQ, culture is just as important as product. We foster an environment rooted in authenticity, diversity, integrity, and mutual respect - where everyone is encouraged to bring their whole self to work.
Strong sense of ownership – you care about outcomes, not just outputs, and you're happy to roll up your sleeves.Genuine interest in industrial manufacturing and B2B SaaS – we're solving real problems for customers making physical productsEntrepreneurial mindset: you enjoy building foundational systems that will support company growth over yearsExcellent organisational and communication skills – you can articulate complex technical decisions to non-technical stakeholdersMaster's degree in Computer Science, Engineering, or a related field, or equivalent practical experienceWe love the energy that comes from working together in person, so spending time at our Cologne or Berlin office matters to us. One on-site day per week is the minimum, and more time together is always welcomeWhat we offerDirect impact on our ability to serve manufacturing customers and scale the platformA culture built on transparency, integrity and authenticity – we trust and respect each other and make decisions based on competenceA fast-paced, agile environment where you can take on as much responsibility as you feel ready forA team that genuinely cares about collaboration and work culture: we regularly reflect on our teamwork, invest work time into team spirit and consciously create balance in everyday workThe opportunity to contribute to fighting climate change by helping industrial manufacturers to become more efficient and to reduce their CO₂ emissions, while we are mindful of our own environmental impact as a carbon-neutral companyAll the benefits that make work more pleasant: flexible hours, part-time options, remote work possibilities, regular team events and offsites, 30 days PTO, weekly yoga sessions, Deutschlandticket, Urban Sports Club and moreHow to apply
We'd love for you to apply even if your experience doesn't precisely match the job description. Please use our job portal for your application, we are looking forward to hearing from you If you have any questions, please contact us at
What you will doAs the Senior Cloud & Data Platform Engineer, you will scale our multi-cloud infrastructure and design our data platform strategy. You'll have a direct impact on our cloud architecture, infrastructure roadmap, and data engineering approach as we scale to serve more Fortune 500 enterprises.
This is a hands-on, technical leadership role. You lead through expertise rather than hierarchy: you design, build, and operate key systems yourself, while also helping set the technical direction. You'll work directly with our founding and senior development team to make critical build-vs-buy decisions, define our infrastructure evolution over the coming years, and establish the foundations that enable our platform and team to scale reliably.
Infrastructure & Architecture
Design the technical strategy for our Kubernetes-based deployment infrastructure and IaC approach across GCP, Azure, AWS, and on-premise deployments
Build, deploy, and monitor container-based services using IaC in Fortune 500 production environments
Interface with enterprise customers' technical teams to align on deployment and infrastructure requirements and rollout plansData Platform Leadership
Architect and build the core data processing framework that powers customer onboarding and enables our AI products – this is the backbone of IQA
Design and implement high-performance data pipelines processing millions of manufacturing events, optimised for both real-time and analytical workloads
Define our data storage strategy (object storage, OLTP/OLAP, caching) and pipeline orchestration approach
Develop and optimise APIs and data processing systems using Python (Polars/Dagster/FastAPI)
Cross-Functional Collaboration
Partner with product and engineering leadership to translate business requirements into robust infrastructure capabilities
Research and evaluate emerging technologies, making clear recommendations on when and how to adopt new tools
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