What you will do
- Design and implement infrastructure for high-volume data processing
- Continuously improve performance, cost, and reliability at scale
- Collaborate with frontend teams on customer-facing features and applications
- Work with stakeholders across the company to ensure data processes meet their requirements
- Maintain high engineering standards: testing, observability, clean code, and solid CI/CD practices
What you will do
Design and implement infrastructure for high-volume data processing
Continuously improve performance, cost, and reliability at scale
Collaborate with frontend teams on customer-facing features and applications
Work with stakeholders across the company to ensure data processes meet their requirements
- Maintain high engineering standards: testing, observability, clean code, and solid CI/CD practices
- Requirements
- 3–5 years of experience in backend development
Strong hands-on experience with Python
Experience building high-scale, low-latency, robust services deployed across multiple AKS namespaces/regions with different configurations
Experience with at least one major cloud platform (Azure preferred)
Advantages / Nice to Have
Experience with modern data platforms – Snowflake / Delta Lake / Iceberg
Experience with distributed data processing (Databricks, PySpark, or similar)
Experience with leadership — team management, project ownership, or task management
Personal Attributes
Ownership mindset and accountability
Passion for performance, scale, and cost-efficiency
Strong communication skills and effective collaboration with cross-functional teams
