Member Technical Staff

What you Bring:

• Expert-level proficiency in building and operating large-scale backend services using Python, Go, or Java in a production environment.
• Deep understanding of distributed systems fundamentals, including service-oriented architecture, asynchronous workflows, and failure domain management.
• Proven experience in data engineering, specifically building and optimizing log analytics systems or high-volume data pipelines using cloud-native tools (e.g., AWS services, Kafka, or equivalent).
• Advanced data modeling and optimization skills for both SQL and NoSQL database systems (e.g., PostgreSQL, Snowflake), focused on performance and scalable storage.
• Demonstrated ability to lead and drive complex, cross-functional technical initiatives from concept through deployment with high autonomy.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pures policies, unless you are on PTO, or work travel, or other approved leave.

What you'll Do:

• Architect and implement robust backend services for high-volume ingestion, extraction, and real-time classification of global telemetry logs.
• Design, build, and optimize intelligent data pipelines and distributed systems (using technologies like AWS, SQS, Redis, and S3) to power automated Root Cause Analysis (RCA) and fleet intelligence.
• Drive operational excellence by establishing and monitoring key SLOs, implementing robust observability (Datadog/PagerDuty), and continuously improving the reliability and cost-efficiency of production systems.
• Own the technical direction for complex features, mentor engineers on best practices, and lead the creation of high-quality design documentation that shapes the team's long-term architecture.