Lead Cloud
Vor 7 Tagen
About ONIQ
ONIQ is on a mission to transform manufacturing for a more sustainable and efficient future. With IQA, our Production Excellence Software, 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.
What you will do
As Lead Cloud & Data Engineer, you will be the technical owner of our multi-cloud infrastructure and data platform strategy. You'll have real decision-making authority over our cloud architecture, infrastructure roadmap, and data engineering approach as we scale to serve more Fortune 500 enterprises.
This is a hands-on leadership role. You lead through expertise rather than hierarchy: you design, build, and operate key systems yourself while setting 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 & ArchitectureDefine and execute our multi-cloud infrastructure roadmap, making key decisions on technology selection, architecture patterns, and cost optimisation strategies
Own 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 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
Own 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
What we expect from you
Experience & Technical Depth
7+ years in software engineering, cloud infrastructure, or backend/data engineering roles, with at least 2–3 years in a lead or senior technical capacity where you made architectural decisionsDeep, hands-on expertise with Kubernetes, major cloud providers (GCP, Azure, AWS), and IaC frameworks (Terraform, OpenTofu, Pulumi)Strong Python skills with modern data processing libraries (e.g. Polars) and API frameworks (FastAPI, etc.). Experience with TypeScript/React or Rust is a plus, not a requirementProven experience designing and operating data pipelines, storage solutions (object storage, OLTP/OLAP, caching), and orchestration platforms (Dagster, Prefect, Airflow)Strategic Thinking & Ownership
Track record of making significant architectural decisions and seeing them through to production at scale.Strong sense of ownership – you care about outcomes, not just outputs, and you're happy to roll up your sleeves.You prefer deep impact and technical leadership over pure people management.Mission & Mindset
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 experienceLocation
We 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 welcome
What we offer
True technical ownership with decision-making authority over infrastructure strategyDirect 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 for and actively shape our marketing and go-to-marketA 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 more
How 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
About us
Learn more about ONIQ
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