Top Benefits
About the role
Who you are
- Strong proficiency with Python and Backend-Engineering
- Experience working within a fast-growing Scale-up environment – delivering value quickly and iteratively
- Background in solving complex technical challenges at the intersection of Software Development and Data/ML Engineering
- Experience owning projects from start to finish, including speccing, architecture, development, testing, deployment, release and monitoring
- Familiarity with Kubernetes, Docker and other cloud infrastructure, ops and containerised tools
- Having been a founding/early member of an Engineering team is a plus
- Proficiency using message queues (Rabbit or NATs)
- Experience in designing, building, and maintaining data collection tools, caching/storage/streaming systems, 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
What the job involves
- 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. You‘ll have the opportunity to shape our technical direction, architecture processes and culture
- Working with Machine Learning Engineers to write Python applications that are resilient, robust, and integrate well with other apps in a service architecture
- 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
The application process
-
- Apply
-
- Recruiter Screen w/ Talent Partner
-
- Take-home + Discussion w/ Eng. Manager
-
- System Design w/ Eng. Manager
-
- Final interview with CTO + Eng. Manager
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
Top Benefits
About the role
Who you are
- Strong proficiency with Python and Backend-Engineering
- Experience working within a fast-growing Scale-up environment – delivering value quickly and iteratively
- Background in solving complex technical challenges at the intersection of Software Development and Data/ML Engineering
- Experience owning projects from start to finish, including speccing, architecture, development, testing, deployment, release and monitoring
- Familiarity with Kubernetes, Docker and other cloud infrastructure, ops and containerised tools
- Having been a founding/early member of an Engineering team is a plus
- Proficiency using message queues (Rabbit or NATs)
- Experience in designing, building, and maintaining data collection tools, caching/storage/streaming systems, 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
What the job involves
- 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. You‘ll have the opportunity to shape our technical direction, architecture processes and culture
- Working with Machine Learning Engineers to write Python applications that are resilient, robust, and integrate well with other apps in a service architecture
- 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
The application process
-
- Apply
-
- Recruiter Screen w/ Talent Partner
-
- Take-home + Discussion w/ Eng. Manager
-
- System Design w/ Eng. Manager
-
- Final interview with CTO + Eng. Manager
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