MTS - Fleet Insights Team - FlashArray
- Pure Storage
- 3 - 8 years
- Bengaluru
- 9 days ago
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Job Description
As an MTS-3 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 (eg, 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 (eg, 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...
- 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 (eg, 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.
- 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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Search EngineerEmployement Type: Full timeContact Details:
Company: Pure StorageLocation(s): Bengaluru+ View Contact
Keyskills: Automation Backend Data modeling Postgresql Distribution system MTS Analytics SQL Python
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