drjobs MTS - Fleet Insights Team - FlashArray

MTS - Fleet Insights Team - FlashArray

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1 Vacancy
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Job Location drjobs

Bengaluru - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Were 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 workwork that changes the worldis what the tech industry was founded on. So if youre ready to seize the endless opportunities and leave your mark come join us.

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-3 engineer youll be both asystems builder and a data problem solverdesigning 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 Pures customers.

WHAT YOULL 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 observabilitydefine 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 teams 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 YOULL NEED TO BRING TO THIS ROLE...

  • 3 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 systemsSQL and NoSQLcombined 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 skillsable 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.
  • Bachelors or Masters degree in Computer Science Data Engineering or a related field.

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 Fortunes Best Large Workplaces in the Bay Area Fortunes 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 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 if youre invited to an interview.

WHERE DIFFERENCES FUEL INNOVATION:

Were forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isnt just accepted but embraced. Thats 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. At Pure Storage diversity equity inclusion and sustainability are part of our DNA because we believe our people will shape the next chapter of our success story.

Pure Storage is proud to be an equal opportunity employer. We strongly encourage applications from Indigenous Peoples racialized people people with disabilities people from gender and sexually diverse communities and people with intersectional identities. We also encourage you to apply even if you feel you dont match all of the role criteria. If you think you can do the job and feel youre a good match please apply.

Employment Type

Full Time

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