Lead Python Engineer; ML Platform​/Ops

What we are building

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, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work.

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 prioritize 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.

• 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

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 an Engineer to join one of our teams:

• Data Intelligence Team, whose goal is to provide ML‑enriched data for downstream tasks and ensure user data privacy. You would support our data orchestration and processing pipeline, as we build with scalability in mind.
• Maker 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.

In both cases, we're looking for a Lead/Staff‑level engineer who will have the opportunity to shape our technical direction, architecture processes and culture, and level up the team when it comes to development practices.

• Write Python applications that are resilient, robust, and integrate well with other apps in a service architecture.
• Further 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 GenAI/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 product ionising their models.
• Respond 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.

• 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, memory management.
• Experience mentoring others, especially in good software development practices, patterns, and fundamentals.
• Drive to continually develop your skills, improve team processes and…