Senior Python Engineer, Growth
Tasks
- Design and implement scalable Python services and APIs (Django, FastAPI, or similar).
- Build reliable ETL pipelines, event ingestion, and feature stores to enable experimentation and analytics.
- Instrument product features for rigorous A/B testing and causal analysis.
- Collaborate with data scientists to productionize models and implement model-driven growth loops.
- Improve observability, reliability, and cost-efficiency of backend systems on cloud platforms.
Requirements
- 4+ years backend/Python experience, building production services and data pipelines.
- Experience with data engineering, event design, and experimentation platforms.
- Comfort with SQL, data modeling, and cloud infra (AWS/GCP) including serverless or containerized deployments.
- Familiarity with MLOps patterns and productionizing models is a plus.
Benefits
- Competitive salary
- Research & cloud credits
- Learning budget and career development
- Flexible & hybrid working options
Job details
Job type: Full-time
Location: Hybrid — In-house (Primary) / Remote
Salary: ₹85k – ₹125k INR (depending on location & experience)