Staff/Lead Python Engineer (Ml Platform/Ops) (Madrid)

Mimica’s mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact. Our AI‑powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica’s process intelligence highlights inefficiencies, prioritises improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, Gen AI), and provides a blueprint for building new automations and transforming work. Where we are in our scale‑up journey We’ve achieved strong product‑market fit and are now scaling with intention. You’ll join a 45‑person team of Senior+ engineers and Product leaders who prioritise product impact over mere headcount. We have 8 cross‑functional teams, including a dedicated Platform team focused on infra and developer experience. We started building proprietary ML before the LLM boom, so we don’t just consume models — we train them from the ground up. Our approach to engineering We prioritise customer needs first We work in small, project‑based teams We have flexibility in terms of the problems we work on We own the full lifecycle of our projects We avoid silos and encourage taking up tasks in new areas We balance quality and velocity We have a shared responsibility for our production code We each set our own routine to maximise our productivity What will you own In this role, you will own and support the development of backend systems that interface with ML models. You will build apps and core components of our ML systems, deliver new AI features, and drive improvements to our infrastructure and services. We are currently looking for Engineers to join one of our teams: Data Intelligence Team – provides ML‑enriched data for downstream tasks and ensures user data privacy. You will support our data orchestration and processing pipeline as we build with scalability in mind. Miner Team – enables rapid and accurate labelling and segmentation of data in the Miner product through automation and ML methods. You will support the automation and scalability of the existing ML systems that back up our Miner product. Maker Team – responsible for building out the automation engine as a founding member. We’re building a new product from scratch, and that means being part of the design of its architecture, experimentation and development. In all cases, we’re looking for a Lead/Staff‑level engineer to join the Python Chapter, who will have the opportunity to shape our technical direction, architecture, processes, and culture, and to level up the team and Chapter in development practices. What you will be doing Write Python applications that are resilient, robust, and integrate well with other apps in a service architecture. Further Developer Experience (Dev Ex) by mentoring others in writing code that is intuitive, clear, and easy to test. Develop observability for new and existing ML applications and Gen AI/LLM integrations, making use of the Grafana Stack (Prometheus, Loki, Tempo). Develop integrations and services that communicate with Google Services. Work closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models. Be responsive to incidents regarding ML applications — including an understanding of how to triage and resolve issues relating to CPU, memory, and GPU utilisation. Document procedures and guides to facilitate knowledge sharing and help other engineers level up through pairing and mentoring. Participate in hiring and onboarding new team members;
take on end‑to‑end project management responsibilities as we grow. Who are we looking for At least 8 years of experience as a Software Engineer and previous Lead/Staff/Principal‑level responsibilities. Strong proficiency with Python and Backend Engineering. Strong experience with async/concurrent programming. Experience owning projects from start to finish, including speccing, architecture, development, testing, deployment, release and monitoring. Strong skills in building maintainable tests. Strong experience with observability and tracing. Knowledge of best practices for performance optimisation and memory management. Experience mentoring others, especially in good software development practices, patterns, and fundamentals. Drive to continually develop your skills, improve team processes and reduce technical debt. Fluency in English and ability to effectively communicate abstract ideas, complex concepts and trade‑offs. Nice to have Having been a founding/early member of an Engineering team. Experience working within a fast‑growing Scale‑up environment – delivering value quickly and iteratively. Experience with GCP. Who you are Not a Junior or Mid‑level engineer. We are looking for Senior+ Engineers to lay a solid foundation before expanding to junior engineers. You use Python, but you’re not familiar with its fundamentals. In this role, we expect you to set standards, have seen good practices and can explain and defend technical options. You don’t have experience with complex architectures. We have a high technical bar, as we are building with scalability in mind, so this role would not be a good fit if you have a shallow understanding of architecture and networking of data‑intensive applications. Recruitment Stages Recruiter Screen with Technical Recruiter Take‑home Challenge (async) + Follow‑up (Live) – with Engineering Manager + colleague in an equivalent role System Design (Live) – with Engineering Manager + someone you’d work closely with. Founders/Behavioural Interview – with TL + Co‑founder/CTO Location This is a fully remote position. You can be based anywhere in the UK, Europe, or the Americas within a UTC‑7 to UTC+3 timezone. What we offer Generative+ options at market data and individual skills. Distributed work: Work from anywhere – fully remote, in our hubs, or a mix. Company‑issued laptop, remote setup stipend, and co‑working budget. Adaptable schedules and location. Ample paid time off, in addition to local public holidays. Enhanced parental leave. Health and retirement benefits. Annual learning and development budget. Annual workaways and regular virtual and in‑person socials. Opportunity to contribute to groundbreaking projects that shape the future of work. Note: Some benefits may vary depending on location and role. Recruitment contact: Mimica will only contact candidates from email address. We do not request banking or sensitive personal information during the recruiting process. #J-18808-Ljbffr