Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region’s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.
About the Role
We are looking for a Software Engineer to architect and implement the workflows, integrations, and systems that translate our AI solutions into large-scale, production-ready platforms.
What You'll Do
Workflow & System Integration
- Design and implement end-to-end workflows that integrate AI models into existing platforms.
- Collaborate with AI engineers and data scientists to transition prototypes into high-availability production systems.
Scalable Architecture & Infrastructure
- Develop and maintain microservices, APIs, and containerized solutions for seamless deployment and scaling.
- Optimize system performance, reliability, and cost efficiency in cloud environments (AWS).
Collaboration & Stakeholder Engagement
- Work with product managers and business stakeholders to define technical requirements and success metrics.
- Present complex technical concepts, progress updates, and trade-offs to both technical and non-technical audiences.
What You'll Need
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- 5 years of professional experience in software development, with a track record of architecting and scaling complex systems.
Technical Proficiency
- Programming Languages: Proficiency in Python, and Java.
- Microservices & APIs: Strong experience building RESTful or GraphQL APIs, event-driven architectures, and containerized services (Docker, Kubernetes).
- Cloud & DevOps: Proven track record with CI/CD pipelines, infrastructure as code (Terraform), and cloud platforms (AWS).
- Data Integration & Workflow: Familiarity with data pipelines (Kafka) and experience connecting to various data sources.
Soft Skills
- Collaboration: Ability to work cross-functionally with AI teams, product managers, and business stakeholders.
- Communication: Strong written and verbal communication, including technical documentation.
Nice-to-Have
- Exposure to AI/ML concepts and familiarity with ML frameworks (PyTorch, TensorFlow).
- Experience with high-volume, real-time data processing.
