Tech Stack
AirflowApacheAWSAzureCloudDockerETLGoogle Cloud PlatformKafkaKubernetesMicroservicesNoSQLPythonSpark
About the role
- Lead Cloud Engineer responsible for architecting and scaling cloud infrastructure and data pipelines for AI-powered e-commerce systems.
- Design, build, and manage scalable cloud infrastructure
- Develop and maintain high-performance ETL data pipelines
- Deploy and operate microservices for backend systems
- Collaborate with cross-functional teams to implement infrastructure for AI features
- Optimize systems for performance, scalability, and reliability
- Contribute to infrastructure planning and architectural decisions
- Mentor junior team members on cloud and DevOps practices
Requirements
- 10+ years of experience in cloud engineering or backend infrastructure
- Deep knowledge of cloud platforms (AWS, GCP, or Azure)
- Strong expertise in Python
- Hands-on experience with ETL pipeline tools like Apache Airflow, Kafka, or Spark
- Experience with containerization and orchestration (Docker, Kubernetes)
- Proficiency in microservices deployment and management
- Experience with both relational and NoSQL databases
- Currently working at a product-based company