Member of Technical staff at Pure Storage

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Data Storage, TechnologyIndustries

Requirements

15+ years of experience in software engineering with a focus on scalable backend systems, distributed computing, or large-scale data platforms
Proficiency in Python, Go, or Java with clean design and a deep understanding of concurrency, resiliency, and performance tuning
Track record of designing fault-tolerant systems and implementing high-throughput, low-latency services in production
Experience with message queues, stream processing frameworks (Kafka, Spark), cloud-native architectures (e.g., AWS, GCP), and CI/CD
Knowledge of telemetry/log analytics, observability pipelines, or real-time data systems (strong plus)
Demonstrated ability to lead large-scale initiatives across teams, with clear architecture vision and strong execution
Proven ability to influence platform direction and deliver solutions with long-term impact
Thoughtful about trade-offs, system evolution, and maintainability across codebases and organizational boundaries
Comfortable mentoring engineers and fostering a strong engineering culture of collaboration and innovation
Experience collaborating with PMs and cross-functional leaders to align engineering direction with business strategy
Strong written and verbal communication skills—able to clearly articulate trade-offs and present technical concepts
Be based in Bengaluru, India, and present in office regularly (office-centric role)

Responsibilities

Architect and implement large-scale, distributed systems for telemetry ingestion, analysis, and classification—designed for six 9’s availability
Design creative, scalable algorithms for log correlation, real-time event detection, and fault prediction
Drive high-impact technical initiatives across multiple teams, aligning long-term architecture with product and platform goals
Own the full lifecycle of innovation—from ideation and prototyping to shipped services in production
Collaborate with peers across engineering, support, and product to define service responsibilities, APIs, and operational models
Improve developer productivity and operational excellence through design iteration, tooling, and automation
Partner with Data Engineering and Analytics teams to ensure strong data modeling, observability, and storage strategies
Mentor MTS2–MTS4 engineers, model technical excellence, and lead technical design reviews and architecture forums
Contribute to team culture through collaboration, initiative, and continuous learning

Skills

Distributed Systems

Telemetry Ingestion

Log Analysis

Scalable Algorithms

Log Correlation

Real-Time Event Detection

Fault Prediction

APIs

High Availability

Software Engineering

Data Engineering

Cloud Observability

Pure Storage

Data storage solutions and services provider

About Pure Storage

Pure Storage specializes in data storage solutions, providing businesses with advanced technologies to manage and protect their data. The company offers a range of products, including all-flash storage arrays that utilize flash memory for faster data access compared to traditional hard drives. Additionally, Pure Storage provides a subscription service called Evergreen One, which ensures clients receive continuous updates and maintenance for their storage systems without needing to replace hardware. This approach allows businesses to keep their technology current and efficient. Pure Storage differentiates itself from competitors by focusing on sustainability and innovation in its offerings. The company's goal is to deliver efficient and environmentally friendly data storage solutions that meet the diverse needs of clients across various industries.

Santa Clara, CaliforniaHeadquarters

2009Year Founded

$461.9MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

5,001-10,000Employees