SeniorLead Python Engineer (Data Processing & Platform)
SeniorLead Python Engineer (Data Processing & Platform)
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Job Description
What we are building
Mimicas 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. Mimicas 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.
What you will own
In this role you will own and support the development of our data processing pipeline.
You will build pipelines 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. Youll have the opportunity to shape our technical direction architecture processes and culture.
Part of your day-to-day
Working with Machine Learning Engineers to write Python applications that are resilient robust and integrate well with other apps in aservicearchitecture.
Develop integrations and services that communicate with GKE and Google Services.
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)
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.
Requirements
Strong proficiency with Python and Backend-Engineering
Background in solving complex technical challenges at the intersection of Software Development and Data/ML Engineering.
Familiarity with Kubernetes Docker and other cloud infrastructure ops and containerised tools.
Experience in designing building and maintaining data collection tools caching/storage/streaming systems and pipelines.
Proficiency using message queues (Rabbit or NATs).
Knowledge of best practices for performance optimisation memory management and observability.
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 owning projects from start to finish including speccing architecture development testing deployment release and monitoring
Location
This is a fully remote position. You can be based anywhere in the UK Europe or the Americas within a UTC-7 to UTC3 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 / 600 / $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.
Required Experience:
Senior IC
Employment Type
Full-Time
