Job Description

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.

Our approach to engineering

===============================

We prioritize 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 maximize our productivity

What you will own

=====================


In this role, you will own and support the development of our data orchestration and processing pipeline.


You will build apps and core components of our ML systems, deliver new AI features and drive improvements to our infrastructure and services.


You will join the

Data Intelligence Team

, whose goal is to provide ML-enriched data for downstream tasks and ensure user data privacy. You'll have the opportunity to shape our technical direction, architecture processes and culture.

What you will be doing

==========================

Write Python applications that are resilient, robust, and integrate well with other apps in a service architecture.

Furthering Developer Experience (DevEx) by mentoring others in writing code that is intuitive, clear, and easy to test

Developing 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. Working closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models Being responsive to incidents regarding ML applications - including an understanding of how to triage and resolve issues relating to CPU, memory, and GPU utilisation Documenting procedures and guides to facilitate knowledge sharing and help other engineers level up through pairing and mentoring Participating in hiring and onboarding new team members; taking on end-to-end project management responsibilities as we grow.

What we're looking for

==========================

Strong proficiency with

Python

and

Backend-Engineering

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.

Familiarity with

Kubernetes

, Docker and other cloud infrastructure, ops and containerised tools. Strong analytical and troubleshooting skills - methodically decomposing systems to identify bottlenecks, determine root causes, and implement effective solutions. 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

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

-----------------


Generous compensation + stock options - aligned with our internal framework, 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


Flexible schedules and location


Ample paid time off, in addition to local public holidays


Enhanced parental leave


Health & retirement benefits


Annual learning & development budget - up to 500 / EUR600 / $650 per year


Annual workaways and regular virtual & 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



On company equipment: Company-issued equipment (e.g. laptops) is provided for work use and must be returned upon departure, unless otherwise agreed.*