Member of Technical Staff- AIops at Pure Storage

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

07 May, 26

Salary

0.0

Posted On

06 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Go, Python, AI, Platform Engineering, Kubernetes, Kafka, RabbitMQ, Docker, Observability, Event-Driven Architecture, Root-Cause Analysis, Asynchronous Processing, Model Deployment, Data Ingestion, Infrastructure Management, Cloud Environments

Industry

IT Services and IT Consulting

Description

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the AI Applications team within Production Engineering to bridge the gap between high-velocity AI experimentation and enterprise-grade stability. As an Software Engineer, you will own the "Inner Loop" of AI development, ensuring our LLM-based applications, RAG pipelines, and agentic workflows are built and deployed with world-class rigor. You won’t just manage infrastructure; you will architect the platform self-service capabilities and event-driven pipelines that allow Pure Storage to scale AI innovation at the speed of thought. WHAT YOU'LL DO Architect Platform Self-Service: Create internal APIs and Go-based abstractions that empower engineers to provision AI-ready environments—including model weights, vector DBs, and event streams—with a single command. Build Agentic Automation: Develop internal tools and AI Agents using Go and Python to automate root-cause analysis of infrastructure failures and proactively optimize system performance. Engineer Event-Driven AI Pipelines: Design and implement asynchronous processing pipelines using Kafka or RabbitMQ to manage high-volume data ingestion for RAG systems and real-time model demand. Ensure "Golden Path" Reproducibility: Standardize AI deployments using Docker and Kubernetes, ensuring that models, prompts, and code are perfectly synchronized across all environments. Optimize AI Observability: Implement advanced monitoring in Prometheus and Grafana to track AI-specific metrics, such as token latency and model drift, ensuring "zero-downtime" reliability under heavy inference loads. WHAT YOU BRING A "Code-First" Infrastructure Mindset: Extensive experience in Platform Engineering with a focus on writing clean, testable Go and Python code to manage complex cloud environments and GPU workloads. AI & Data Literacy: Practical experience integrating LLM APIs, managing Vector Databases, and optimizing Retrieval-Augmented Generation (RAG) pipelines and distributed caches (Redis). Expertise in High-Concurrency Systems: Deep understanding of Go’s goroutines and channels to handle the massive data throughput required by Kafka-driven AI pipelines. Advanced Kubernetes Orchestration: Proven ability to manage K8s at scale, specifically extending the K8s API with custom controllers to make clusters "AI-aware" and managing specialized NVMe storage. Event-Driven Architecture Mastery: Sophisticated knowledge of asynchronous systems, knowing when to leverage Kafka for streaming versus RabbitMQ for complex task routing. We are primarily an in-office environment and therefore, you will be expected to work from the Bengaluru (Blr) office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU CAN EXPECT FROM US: Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers. Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®! Pure Team: We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out purebenefits.com for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. JOIN US AND BRING YOUR BEST. BRING YOUR BOLD. BRING YOUR FLASH.

Responsibilities

The role involves architecting platform self-service capabilities and developing internal tools for AI automation. Additionally, the engineer will design event-driven AI pipelines and ensure reproducibility of AI deployments.