Member of Technical Staff - Platform Engineering
Everpure (formerly Pure Storage) (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted 4h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead development of an internal platform enabling AI developers to provision AI-ready environments with automation for models, vector DBs, and event streams.
- Build and operate event-driven, asynchronous AI pipelines using Kafka/RabbitMQ and ensure reliable deployments with Docker/Kubernetes to support reproducible AI workflows.
- Manage AI observability, GPU workloads, distributed caches, and optimize system performance including token latency and model drift metrics.
Minimum Requirements
- 8+ years in Platform Infrastructure Engineering supporting AI application development and platform self-service.
- Strong programming skills in Go (Golang).
- Experience with Kubernetes and asynchronous message streaming platforms such as Kafka or RabbitMQ.
- Must be able to work onsite at Bangalore office except for approved leaves.
Ideal Candidate Profile
- Expertise in bridging high-velocity AI experimentation with enterprise-grade infrastructure focusing on reliability and efficiency.
- Deep experience with AI infrastructure components: LLM APIs, prompt engineering, RAG pipelines, vector databases, distributed caches.
- Proven ability in building scalable, automated, event-driven systems with strong observability and operational resilience mindset.