About the Role
The engineer will design, implement, and improve backend services using Python, ensuring robust performance, scalability, and integration with data analytics tools.
Responsibilities
- Design and build backend services using Python
- Optimize system performance and reliability
- Collaborate with cross-functional teams on feature development
- Write clean, maintainable, and well-documented code
- Participate in code reviews and technical discussions
- Troubleshoot and resolve production issues
- Integrate with APIs and third-party services
- Support deployment and monitoring processes
- Ensure code quality through automated testing
- Contribute to architectural decisions
- Maintain existing software components
- Work with data pipelines and processing workflows
- Implement security best practices
- Scale infrastructure to meet growing demands
- Use version control systems effectively
- Document technical solutions and processes
- Stay current with emerging technologies
- Improve development workflows
- Assist in defining project timelines
- Support continuous integration and delivery pipelines
Nice to Have
- Familiarity with data analytics platforms
- Experience with A/B testing systems
- Knowledge of machine learning pipelines
- Background in mobile app marketing technology
- Experience working with large-scale datasets
- Understanding of statistical analysis methods
- Exposure to frontend technologies
- Contributions to open-source projects
- Experience in fast-paced startup environments
- Advanced degree in a technical field
Compensation
Competitive salary based on experience and location
Work Arrangement
Remote position with flexible hours
Team
Collaborative engineering team focused on product optimization
Why Join Us
- Opportunity to work on innovative product experiments
- Supportive environment that values technical excellence
- Growth potential in a rapidly expanding team
- Exposure to cutting-edge optimization technologies
Tech Stack
- Python with modern frameworks
- Docker and Kubernetes for deployment
- AWS or equivalent cloud infrastructure
- PostgreSQL and Redis for data storage
- GitLab CI or similar automation tools
Available for qualified candidates
