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Tier-1 brand, metro location, and broad cloud skillset create moderate candidate competition.
Role requires deep cloud platform and distributed-systems experience, limiting cross-industry transferability.
Explicit 8+ years and many mandatory cloud, backend, and DevSecOps skills enforce strict filtering.
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Architect, design, implement, and operate complex PaaS GPU cloud services focused on Deep Learning and AI.
Drive technology stack and implementation methodology for large-scale GPU cloud platforms.
Collaborate cross-functionally with partners, UI/UX designers, and engineers to develop new features and maintain product consistency, emphasizing test-driven development and CI/CD automation.
8+ years hands-on experience building complex microservices and large-scale distributed cloud services.
Strong expertise in core Java (Collections API, Streams API, Concurrency, I/O) and back-end system design including concurrency, distribution, performance, and availability.
BS/MS in Computer Science or equivalent experience.
Knowledge of RDBMS, NoSQL (Cassandra, DynamoDb, Redis), HTTP REST API, gRPC, security, networking, Kubernetes cluster management, and DevSecOps practices in CI/CD.
Experienced in designing and operating high availability, resilient, and secure cloud-native backend systems with strong microservices architecture focus.
Proficient in Java ecosystem, Springboot, Golang, Kubernetes, Docker, and cloud platforms (AWS, GCP, Azure).
Capable of leadership in a dynamic, innovative environment, mentoring peers, driving quality with test automation, and collaborating across diverse technical teams.