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Staff Python Engineer(m/w/x)
Designing backend systems for payout automation and dynamic algorithms for 50M+ users in ad-tech. Proven large-scale Python backend system experience with ML/adtech pipelines required. Equity, transport subsidy, and free meals.
Requirements
- Proven experience building large-scale backend systems in Python
- Strong understanding of software architecture, system design, and clean code
- Experience with data pipelines, A/B testing, or algorithmic personalisation
- Strong SQL and cloud (AWS/GCP) skills
- Experience with ML pipelines, model deployment, or adtech systems
- Optimising payout, reward, or incentive systems at scale
- Passion for gaming, data-driven experimentation, and automation
- Ownership of outcomes from design to deployment
- High technical standards and clean, elegant code
- Pragmatic, solution-focused approach to building systems
Tasks
- Design and optimize backend systems for payout automation
- Build automated payout structure generation systems
- Create dynamic payout algorithms based on user behavior
- Implement split-testing infrastructure for payouts
- Develop scalable Python systems integrated with data and ML pipelines
- Enhance system reliability, performance, and maintainability
- Lead design and development of backend systems
- Set coding standards and provide technical leadership for Python development
- Collaborate with ML engineers, data scientists, and product teams
- Build frameworks for experiment setup, versioning, and evaluation
- Refine system architecture to improve efficiency
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- AWS
- GCP
Benefits
Competitive Pay
- Equity
Bonuses & Incentives
- Bonus
Public Transport Subsidies
- Transport subsidy
Free or Subsidized Food
- Breakfasts and lunches
Learning & Development
- Language learning
Healthcare & Fitness
- Urban Sports Club
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Staff Python Engineer(m/w/x)
Designing backend systems for payout automation and dynamic algorithms for 50M+ users in ad-tech. Proven large-scale Python backend system experience with ML/adtech pipelines required. Equity, transport subsidy, and free meals.
Requirements
- Proven experience building large-scale backend systems in Python
- Strong understanding of software architecture, system design, and clean code
- Experience with data pipelines, A/B testing, or algorithmic personalisation
- Strong SQL and cloud (AWS/GCP) skills
- Experience with ML pipelines, model deployment, or adtech systems
- Optimising payout, reward, or incentive systems at scale
- Passion for gaming, data-driven experimentation, and automation
- Ownership of outcomes from design to deployment
- High technical standards and clean, elegant code
- Pragmatic, solution-focused approach to building systems
Tasks
- Design and optimize backend systems for payout automation
- Build automated payout structure generation systems
- Create dynamic payout algorithms based on user behavior
- Implement split-testing infrastructure for payouts
- Develop scalable Python systems integrated with data and ML pipelines
- Enhance system reliability, performance, and maintainability
- Lead design and development of backend systems
- Set coding standards and provide technical leadership for Python development
- Collaborate with ML engineers, data scientists, and product teams
- Build frameworks for experiment setup, versioning, and evaluation
- Refine system architecture to improve efficiency
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- AWS
- GCP
Benefits
Competitive Pay
- Equity
Bonuses & Incentives
- Bonus
Public Transport Subsidies
- Transport subsidy
Free or Subsidized Food
- Breakfasts and lunches
Learning & Development
- Language learning
Healthcare & Fitness
- Urban Sports Club
About the Company
Almedia
Industry
Marketing
Description
The company is building the future of marketing by rewarding a community of over 50 million users for engaging with advertisers' products.
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