MTS - Fleet Insights, Flash Array

3 days ago

Bengaluru, Karnataka, India Pure Storage Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Fleet Insights Team

The Fleet Insights team operates at the intersection of software engineering, data engineering, and cloud-scale observability. We dig deep into customer-impacting issues, design resilient systems to detect and classify them, and build intelligent data pipelines that transform how Pure understands and supports its global fleet.

As an MTS-4 engineer, you'll be both a systems builder and a data problem solver—designing large-scale services, leading technical direction, and building tools that extract actionable insights from telemetry and logs. This is a high-leverage role for someone who wants to build at scale, solve tough data problems, and make a measurable difference to Pure's customers.

WHAT YOU'LL BE DOING...

  • 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.

WHAT YOU'LL NEED TO BRING TO THIS ROLE...

  • 7+ 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.

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