
MTS - Fleet Insights Team - FlashArray
- Bangalore, Karnataka
- Permanent
- Full-time
- 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.
- 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.
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