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Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
the company is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer…
Build and scale Apache Pinot’s distributed data platform, designing low-latency OLAP systems and fault-tolerant services for real-time analytics at massive scale.
Build cloud-native data platforms and MLOps workflows, designing ETL/ELT pipelines, data lakes/warehouses, and feature stores for AI/ML and analytics.
Build and maintain scalable GCP data pipelines, BigQuery warehouses, and dbt models for analytics; optimize costs and performance while ensuring data quality.
Build scalable backend services and data platforms for retail-tech, using TypeScript, PostgreSQL, and event-driven architectures to power physical-store digitalization.
Build a new civic-engagement data-visualization product from pilot to GA, designing secure backend services, interactive maps, and responsive UIs while raising engineering standards across the org.
About the role This is a hands-on, senior individual-contributor role with a strong passion on building a possible vendor neutral lakehouse. You will own data pipelines end to end and build out the governance and…
Build and operate Grab’s central metrics platform, designing APIs, ingestion pipelines, and serving layers (e.g., Apache Pinot) to deliver trusted, reusable business metrics for analytics and AI workflows.
Design and maintain scalable data pipelines for streaming and batch processing using Apache Pinot, Iceberg, Flink, and Spark to power Webex analytics.
Lead the design and implementation of high-scale data architectures for Cisco's Partner Hub analytics ecosystem using Apache Pinot, Iceberg, Flink, and Spark.
Design and maintain scalable GCP data pipelines, BigQuery warehouses, and dbt models for analytics infrastructure, ensuring performance and data quality.
Build and scale Cisco’s big-data platform using Spark, Kafka, Flink, Iceberg, and Trino to power real-time analytics and data pipelines for Webex.
Builds and maintains real-time streaming infrastructure for vehicle telemetry and AI/ML platforms using Kafka/Redpanda and Flink in a cloud-native environment.
Senior engineer building cloud-native security tools to detect and prevent threats in cloud environments, leveraging distributed systems and AI at massive scale.
Lead a team building and scaling enterprise data platforms that power Citi’s AI, machine learning, and analytics, designing high-performance pipelines and feature stores for real-time and batch processing.
Lead the architecture and development of post-trade data systems at a global crypto exchange, ensuring real-time and historical data processing, scalability, and security while mentoring a small engineering team.
At StarTree we're a group of passionate individuals that desire to improve the lives of many by developing tools and technologies that support availability and speed in the world of real-time analytics. Our aim is…
Lead a team to architect and scale Citi’s enterprise data platforms, building high-performance pipelines and feature stores that power AI, machine learning, and real-time analytics across the bank.
Build and operate Kafka-based streaming applications and Spark/Flink data pipelines for Webex’s analytics platform, using Java/Scala/Golang in a microservices architecture.
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