MTS - Fleet Insights Team - FlashArray at Pure Storage

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Storage, TechnologyIndustries

Requirements

8+ years of experience in software engineering and/or data engineering, building and operating backend services in Python, Go, or Java
Strong knowledge of distributed systems fundamentals, service-oriented architecture, and asynchronous workflows
Hands-on experience building data pipelines or log analytics systems using cloud-native tools (e.g., AWS Glue, Lambda, S3, Athena, Kafka, or equivalent)
Deep understanding of database systems—SQL and NoSQL—combined with strong data modeling and performance optimization skills
Cloud infrastructure expertise, ideally in AWS, including IAM, cost-aware architecture, and autoscaling principles
Familiarity with CI/CD pipelines, microservices lifecycle management, and containerization with Docker/Kubernetes
Demonstrated ability to design and lead complex, cross-functional technical initiatives with minimal oversight
Excellent communication skills—able to explain design trade-offs, simplify complex systems, and influence across teams
A strong mentoring mindset and a willingness to help level-up peers and junior team members
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field

Responsibilities

Architect and implement backend services for ingesting, extracting, and classifying telemetry logs at scale (e.g., TALES platform)
Design data pipelines to process and analyze structured and unstructured logs, enabling real-time fleet intelligence and RCA automation
Build scalable distributed systems using technologies like Redis, SQS, RDS, and S3 to support fault-tolerant, stateless services
Develop and deploy microservices on cloud-native platforms (e.g., AWS, Pure1Build) using containerized infrastructure (Docker, Kubernetes)
Establish and maintain robust observability—define SLOs, build health checks, monitor job queues, and implement alerting using tools like Datadog and PagerDuty
Create and optimize data models for failure classification, metrics aggregation, and long-term log storage using SQL-based stores (PostgreSQL, Snowflake)
Mentor junior engineers, drive technical reviews, and write high-quality design docs that guide the team’s architecture decisions
Collaborate closely with platform, support, and product teams to align on service APIs, failure workflows, and operational ownership
Continuously improve system reliability, cost-efficiency, and developer experience through refactoring, automation, and design iteration

Skills

Redis

SQS

RDS

AWS

Docker

Kubernetes

Datadog

PagerDuty

SQL

microservices

data pipelines

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