MTS - Fleet Insights Team
Pure StoragePosted June 11, 2025
Bangalore, India
Full Time
Job Description
This role involves designing and building large-scale backend data systems and services to analyze telemetry logs, automate fleet insights, and improve system reliability in a cloud-native environment, primarily using technologies like AWS, Kubernetes, and distributed databases.
Responsibilities
- •Architect and implement backend services for ingesting, extracting, and classifying telemetry logs at scale.
- •Design data pipelines to process and analyze structured and unstructured logs for 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 such as AWS using containerized infrastructure like Docker and Kubernetes.
- •Establish and maintain system observability through SLOs, health checks, monitoring, and alerting tools.
- •Create and optimize data models for failure classification, metrics aggregation, and long-term log storage.
- •Mentor junior engineers, lead technical reviews, and produce high-quality design documentation.
- •Collaborate with platform, support, and product teams to align on service APIs, failure workflows, and operational responsibilities.
- •Continuously improve system reliability, cost-efficiency, and developer experience through automation and iterative design.
Requirements
- •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 such as AWS Glue, Lambda, S3, Athena, Kafka, or equivalent.
- •Deep understanding of database systems including SQL and NoSQL, 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 and 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.
Benefits
- •Flexible time off
- •Wellness resources
- •Company-sponsored team events
- •Diversity, equity, inclusion and sustainability initiatives
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