Back
Strong Tier-1 brand, metro locations, popular senior cloud/backend role, and broad stack requirements increase competition.
High domain bias: cloud platform, Kubernetes, and backend distributed systems skills are not fully transferable across industries.
Explicit 8+ years, required cloud platform, Kubernetes, and specific backend/DevSecOps skills enforce strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Architect, design, implement, and operate complex PaaS GPU cloud services for AI and Deep Learning fields.
Drive technology stack decisions, implementation methodology, and collaborate with cross-functional teams for new or existing product features.
Maintain product consistency, enforce TDD practices, and support software functionality including documentation and customer support.
8+ years of hands-on experience building complex microservices and large scale distributed cloud services.
Strong expertise in Java (Collections API, Streams API, Concurrency, I/O), OOP concepts, design patterns, and concurrent distributed systems.
Experience with RDBMS and NoSQL databases (Cassandra, DynamoDb, Redis), REST API, gRPC, security, networking, Kubernetes cluster management, and monitoring (LGTM, Prometheus, Datadog, Splunk).
BS/MS in Computer Science or equivalent experience.
Proven ability in architecting and operating highly available, scalable backend systems for cloud services, particularly GPU cloud platforms.
Operates well in dynamic, highly interactive environments and collaborates effectively with diverse teams including UX/UI and front-end engineers.
Experienced in modern DevSecOps practices, test automation, CI/CD, and cloud platforms (AWS, GCP, Azure).