Overview
Responsibilities:
Work with Data Engineers to deliver end-to-end solutions, ensuring the recommendation engine can handle large traffic volumes.
Implement APIs to be consumed by the UI slates where recommendations are shown.
Set up an observability solution to monitor recommendation accuracy, user satisfaction, and system performance over time.
Requirements:
Experience Required: 7-9 Years.
Should be able to drive analysis and solutioning with the team and clients.
Proficient and hands-on with Kubernetes.
Experience in Devops technologies like Helm charts.
Should be comfortable in evaluating and picking up new technologies.
Experience in designing databases at scale.
A reasonable understanding of the performance tuning of DB queries.
Must have skills:
ava, APIs.
Kubernetes and related tech (Non-negotiable).
Designing, scaling, and optimizing databases (Nonnegotiable).
GCP or other clouds.
Good to have skills:
Vector DB, No SQL DB.
Exp or knowledge in building search/recommendation solutions.
Knowledge of the E-Comm / Retail domain.
Job Type: Full-time
Pay: Up to ₹1,300,000.00 per year
Location Type:
- In-person
Experience:
- Total Work: 7 years (Required)
- Java: 5 years (Required)
Work Location: In person
Speak with the employer
+91 9080250187