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Senior Backend Engineer builds and maintains distributed data infrastructure at LaunchDarkly, handling streaming/batch pipelines, analytical stores, and warehouse exports using technologies like Kinesis, ClickHouse, and Spark.
Build and optimize high-performance data infrastructure for Brex’s fintech platform, focusing on distributed systems, query performance, and AI-powered reporting tools in Kotlin/Java.
Build and scale the data platform that ingests, processes, and serves telemetry and sensor data from a fleet of humanoid robots, using Spark, Kafka, OpenTelemetry, and cloud tools.
Job Description: Participate in the development work related to the Marketplace data warehouse, including data collection in offline and real-time data warehouses, data public layer construction, data application layer…
Principal Software Engineer builds and leads Microsoft’s AI-driven auto-bidding platform for real-time ad auctions, optimizing bids at scale using machine learning and distributed systems.
Build and enhance real-time data infrastructure for a global gambling platform using Golang, Python, Kafka, and cloud databases like GCP Spanner and BigQuery.
Build and scale an event streaming platform with Kafka and Flink to power AI applications at a global fintech company.
Lead a team building scalable data and AI platforms at a global fintech company, enabling teams to leverage data and AI efficiently while ensuring reliability and compliance.
Lead a team to build and manage a cybersecurity data platform using Python, Azure, Spark, and Kubernetes, enabling threat detection, analytics, and GenAI workflows.
Lead the architecture and hands-on development of a next-gen streaming and analytics platform for a fast-growing fintech company, using Kafka, Spark, Flink, and Snowflake to process billions of financial events.
Build and scale a large-scale event streaming platform using Kafka, Flink, and cloud tools to power AI use cases and data products for a global fintech company.
Build and maintain scalable ETL/ELT pipelines and data models in Snowflake, BigQuery, and Hive using Java and Python to power Tripadvisor’s travel platform.
Builds and enhances bet365’s real-time data infrastructure using Golang, Kafka, Flink, GCP, Spanner and BigQuery to power low-latency, highly available streaming services.
Design and build observability infrastructure for Apple’s cloud services, focusing on CloudKit and iCloud, using distributed systems and Kubernetes.
Build and scale Cogent’s data platform to ingest, normalize, and transform enterprise security data into a knowledge base for AI-driven cybersecurity workflows.
Designs and maintains data pipelines and warehouses for a telecom company, using Python/Java and distributed systems like Hadoop/Flink.
Build and maintain large-scale data platforms on Kubernetes (AWS/GCP) using Python, Java, and SQL, ensuring reliability, performance, and security for modern data and AI workloads.
So, what’s the role all about? We are seeking an experienced Manager, Engineeringto lead a globally distributed team responsible for optimizing and managing data pipelines, real-time data processing, and database…
Designs and maintains scalable data pipelines and infrastructure for a telco provider, collaborating on architecture decisions and platform roadmaps; core techs: Python/Java, Hadoop, Flink, Airflow/Dagster.
Build and operate large-scale enterprise data pipelines using Spark, Kafka, and lakehouse architectures, migrating legacy systems and ensuring data quality in a highly governed environment.
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