Senior/Lead Python Engineer
Top Benefits
About the role
Who you are
- Strong proficiency with Python and knowledge and hands-on working with GenAI models
- Background in solving complex technical challenges at the intersection of Software Development and Data/ML Engineering
- Familiarity with cloud infrastructure, ops and containerised tools like Kubernetes, Docker or others
- Experience in designing, building, and maintaining data collection tools, caching/storage systems, queues and pipelines
- 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
- 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
What the job involves
- In this role, you will support the backend of a new Product - the Mimica Maker. This will be a product that allows users to build and orchestrate bots from the data we record
- You will build pipelines and core components of our ML systems, deliver new AI features and drive improvements to our infrastructure and services
- As a founding member of the Maker Team, you‘ll have the opportunity to shape our technical direction, processes and culture
- Working with Machine Learning Engineers to bring our Computer Use Tool to production by building and supporting ML-driven applications
- 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
The application process
-
- Recruiter Screen
-
- Take-home + Follow up Discussion
-
- System Design
-
- Final call with Manager + CTO
Benefits
- Flexible schedules & location
- Flexible PTO and sick-leave
- Share options
- Pension & retirement options
- Team socials & off-sites
- Book club & learning groups
About Mimica
Mimica shows enterprises where to streamline, standardize, and automate processes across the entire organization — with zero manual effort, and in as little as two weeks. We answer the most important questions in a business: How are our people spending their time? How do we make these processes more efficient? Where’s the best place to start improving or automating? Here’s how we do it:
Mimica’s 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.
Mimica transforms how work gets done across the enterprise, so you can maximize workforce productivity, cut costs, and drive operational excellence. Get started at Mimica.ai
Senior/Lead Python Engineer
Top Benefits
About the role
Who you are
- Strong proficiency with Python and knowledge and hands-on working with GenAI models
- Background in solving complex technical challenges at the intersection of Software Development and Data/ML Engineering
- Familiarity with cloud infrastructure, ops and containerised tools like Kubernetes, Docker or others
- Experience in designing, building, and maintaining data collection tools, caching/storage systems, queues and pipelines
- 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
- 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
What the job involves
- In this role, you will support the backend of a new Product - the Mimica Maker. This will be a product that allows users to build and orchestrate bots from the data we record
- You will build pipelines and core components of our ML systems, deliver new AI features and drive improvements to our infrastructure and services
- As a founding member of the Maker Team, you‘ll have the opportunity to shape our technical direction, processes and culture
- Working with Machine Learning Engineers to bring our Computer Use Tool to production by building and supporting ML-driven applications
- 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
The application process
-
- Recruiter Screen
-
- Take-home + Follow up Discussion
-
- System Design
-
- Final call with Manager + CTO
Benefits
- Flexible schedules & location
- Flexible PTO and sick-leave
- Share options
- Pension & retirement options
- Team socials & off-sites
- Book club & learning groups
About Mimica
Mimica shows enterprises where to streamline, standardize, and automate processes across the entire organization — with zero manual effort, and in as little as two weeks. We answer the most important questions in a business: How are our people spending their time? How do we make these processes more efficient? Where’s the best place to start improving or automating? Here’s how we do it:
Mimica’s 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.
Mimica transforms how work gets done across the enterprise, so you can maximize workforce productivity, cut costs, and drive operational excellence. Get started at Mimica.ai