Pure Storage

Member of Technical Staff - Platform Engineering

Pure Storage
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10 hours ago
Bengaluru, IndiaSenior

Responsibilities

  • Design internal APIs and abstractions that let engineers provision AI-ready environments through single-command automation.
  • Build type-safe internal tooling and AI agents in Go and Python for root-cause analysis, disaster recovery, and infrastructure optimization.
  • Architect asynchronous processing systems with Kafka and RabbitMQ for infrastructure scaling and high-volume data ingestion.
  • Maintain Docker and Kubernetes deployment standards across models, prompts, and application code.
  • Manage GPU workloads, Redis distributed caches, vector databases, and AI-specific observability metrics.
  • Monitor systems with Prometheus, Grafana, and ELK to support high throughput, resilience, and zero-downtime operations.

Requirements

  • 8+ years of experience in platform infrastructure engineering supporting AI application development and platform self-service.
  • High proficiency in Go.
  • Hands-on experience with LLM APIs, prompt engineering, RAG pipelines, vector databases, and distributed caches.
  • Deep experience with Kubernetes and asynchronous message streaming using Kafka or RabbitMQ.
  • Strong background in monitoring with Prometheus, Grafana, and ELK and maintaining operational resilience.

Benefits

  • Primarily in-office work from the Bangalore office, except during PTO, work travel, or other approved leave.
  • Flexible time off, wellness resources, and company-sponsored team events.
  • Growth and development support, inclusive employee resource groups, and an inclusive workplace.
  • Workplace accommodations are available throughout the hiring process for candidates with disabilities.

Tech Stack

Apache KafkaDockerGoGrafanaKubernetesPrometheusPythonRabbitMQRedis

Categories

Pure Storage

About Pure Storage

1,001-5,000 employees

Pure Storage builds all-flash data storage systems and software for enterprises, including FlashArray and FlashBlade, and offers storage delivered as-a-service for on‑prem and cloud workloads. Its subscription model (Evergreen/Pure as‑a‑Service) supports databases, virtualization, analytics, and AI. Founded in 2009 and headquartered in Santa Clara, California, Pure is a public company listed on the NYSE (PSTG).

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