{"id":42331,"url":"https://alion.io/job/mimica-stafflead-python-engineer-fastapi-orchestration","title":"Staff/Lead Python Engineer (FastAPI, Orchestration)","company":{"id":8981,"name":"Mimica","domain":"mimica.ai","url":"https://alion.io/company/mimica","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":81,"open_postings":13,"ghost_share":0.231,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"UTC-7 – UTC+3","utc_offset_min":-7,"utc_offset_max":3},"hiring_geo_confidence":"inferred","locations":["Berlin, Germany","London, United Kingdom","Amsterdam, Netherlands","Warsaw, Poland","Stockholm, Sweden","Toronto, Canada","Barcelona, Spain","Dublin, Ireland","Cambridge, United States","Montreal, Canada","Edinburgh, United Kingdom"],"countries":["DE","GB","NL","PL","SE","CA","ES","IE","US"],"hiring_countries":["GB","DE","CA","CZ","NL","PL","ES","SE","EE","PT","IE"],"hiring_countries_total":11,"salary":null,"salary_estimate":{"min_usd":95000,"max_usd":176000,"period":"year","method":"role_seniority_country_cell","sample_n":51},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Grafana","optional":false},{"name":"LLM","optional":false},{"name":"Loki","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-01-19T13:54:56Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-17T02:36:40Z","board_verified":true,"closed_at":null,"days_open":270,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":269},"description":"What we are building\nMimica is an AI-powered process intelligence platform enabling enterprises and individuals to reclaim their most precious resource: time. We've all seen repetitive tasks and redundant processes quietly drain productivity and creativity. Not because companies don’t want to become more efficient, but because they don’t know where to start.\nMimica automatically analyzes your team’s work, then generates the AI agents to execute it. Our software turns everyday work into data-backed decisions, helping companies remove process bottlenecks, automate the right tasks, and upskill teams with precision and confidence.\nWe’ve raised $26 million in Series B financing and are scaling fast. Backed by investors including Khosla Ventures and Paladin Capital, our proprietary AI technology is trusted by Fortune 500 companies to accelerate transformation. Mimica is recognized as a Top 100 AI Start-up by Accel and an industry Leader by the Everest Group.\nOur team\nBehind our platform is a team of exceptionally talented people, remote-first and globally distributed across 16+ countries. We're looking for curious, collaborative people excited to solve complex problems. You'll join a fast-paced environment built on high ownership, bottom-up thinking, and transparent, open communication - helping some of the world's leading organizations transform the way work gets done with AI.\nWhere we are in our scale-up journey\nWe’ve achieved strong product-market fit and are now scaling with intention. You’ll join a 50+ 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 & 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.\nOur approach to engineering\nWe prioritise customer needs first\n\nWe work in small, project-based teams\n\nWe have flexibility in terms of the problems we work on\n\nWe own the full lifecycle of our projects\n\nWe avoid silos and encourage taking up tasks in new areas\n\nWe balance quality and velocity\n\nWe have a shared responsibility for our production code\n\nWe each set our own routine to maximise our productivity\n\nWhat will you own\nIn 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.\nWe are currently looking for Engineers to join one of our teams:\nMaker Team, a team responsible for building out the automation engine, as one of its founding members. We're building a new product from scratch, and that means being a part of the design of its architecture, experimentation, and development.\n\nData Intelligence Team, whose goal is to provide ML-enriched data for downstream tasks and ensure user data privacy. You will support our data orchestration and processing pipeline, as we build with scalability in mind.\n\nIn 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.\nWhat you will be doing\nWrite Python applications that are resilient, robust, and integrate well with other apps in a service architecture.\n\nFurthering Developer Experience (DevEx) by mentoring others in writing code that is intuitive, clear, and easy to test\n\nDeveloping observability for new and existing ML applications and GenAI/LLM integrations, making use of the Grafana Stack (Prometheus, Loki, Tempo)\n\nDevelop integrations and services that communicate with Google Services.\n\nWorking closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models\n\nBeing responsive to incidents regarding ML applications - including an understanding of how to triage and resolve issues relating to CPU, memory, and GPU utilisation\n\nDocumenting procedures and guides to facilitate knowledge sharing and help other engineers level up through pairing and mentoring\n\nParticipating in hiring and onboarding new team members; taking on end-to-end project management responsibilities as we grow.\n\nWho are we're looking for:\nAt least 8 years of experience and above as a Software Engineer, and previous Lead/Staff/Principal level of responsibilities.\n\nStrong proficiency with Python and Backend-Engineering\n\nStrong experience with async/concurrent programming\n\nExperience owning projects from start to finish, including speccing, architecture, development, testing, deployment, release and monitoring\n\nStrong skills in building maintainable tests\n\nStrong experience with observability and tracing.\n\nKnowledge of best practices for performance optimisation, memory management.\n\nExperience mentoring others, especially in good software development practices, patterns, and fundamentals.\n\nDrive to continually develop your skills, improve team processes and reduce technical debt.\n\nFluency in English and ability to effectively communicate abstract ideas, complex concepts and trade-offs.\n\nNice to have:\nHaving been a founding/early member of an Engineering team\n\nExperience working within a fast-growing Scale-up environment - delivering value quickly and iteratively\n\nExperience with GCP\n\nWho you arenot:\nYou're not a Junior or Mid-level engineer. While we value mentoring, coaching, and curiosity, at this stage, we're looking for Senior+ Engineers to help lay a solid foundation before expanding to junior engineers.\n\nYou use Python, but you're not familiar with its fundamentals. In this role, we're looking for people who can set standards, have seen good practices and can explain and defend technical options.\n\nYou don't have experience with complex architectures. We have a high technical bar, as we're 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.\n\nRecruitment Stages\nStage 1 | Recruiter Screen with Technical Recruiter\n\nStage 2 | Take-home Challenge (async) + Follow-up (Live) - with Engineering Manager + colleague in an equivalent role\n\nStage 3 | System Design (Live) - with Engineering Manager + someone you'd work closely with.\n\nStage 4 | Founders/Behavioural Interview - with TL + Co-founder/CTO\n\nLocation\nThis 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.\nWhat we offer\nGenerous compensation + stock options - aligned with our internal framework, market data, and individual skills.\nDistributed work: Work from anywhere - fully remote, in our hubs, or a mix.\nCompany-issued laptop, remote setup stipend, and co-working budget\nFlexible schedules and location\nAmple paid time off, in addition to local public holidays\nEnhanced parental leave\nHealth & retirement benefits\nAnnual learning & development budget\nAnnual workaways and regular virtual & in-person socials\nOpportunity to contribute to groundbreaking projects that shape the future of work\n Note: Some benefits may vary depending on location and role\n Mimica will only contact candidates from an @mimica.ai email address. 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