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Build and maintain cloud-based data pipelines (batch and real-time) on AWS, using SQL, Python, ETL tools, and Snowplow to feed analytics and product insights.
Build and maintain scalable data pipelines and cloud-based platforms to power analytics, personalization, and ML across FOX’s digital media ecosystem using Python, PySpark, Kafka, and AWS.
Build and operate Yelp’s real-time streaming platform using Kafka and Flink, ensuring reliability and scalability across multi-cloud environments while automating cluster operations and incident recovery.
Build backend systems for fleet visibility using IoT data, design Kafka/Flink pipelines, and develop scalable APIs for equipment monitoring.
Builds and maintains high-quality industrial datasets for AI models in manufacturing, focusing on data collection, cleaning, storage, and feature engineering using Python, SQL, and distributed frameworks.
Build and scale a high-traffic trust-and-safety platform that detects harmful content and abusive behavior using Python/Go/C++ and big-data stacks like Flink and ClickHouse.
Build backend systems that process IoT sensor data from fleets to provide real-time equipment location, health, and geofence alerts using Kafka, Flink, and cloud services.
Principal engineer leading the Base Technologies platform team, owning event streaming (Red Panda/Kafka) and next-gen messaging (NATS) as shared, self-service capabilities for IFS’s AI-driven enterprise suite.
Data Analyst builds and tests ad-platform growth hypotheses, runs A/B tests, and delivers BI dashboards using ClickHouse, Redash/Superset, Spark, and Trino.
Build and maintain a real-time detection platform to identify harmful activities on Vinted’s marketplace using streaming frameworks like Flink and Kafka.
Build and lead ML systems that power Toast’s restaurant-focused AI products, focusing on scalability and real-world business impact.
Lead a team to design and build scalable data pipelines and services using Spark, Databricks, Kafka, and Scala/Java for Bosch’s automotive and mobility systems.
Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures Define and evolve the target architecture for data platforms covering ingestion,…
Build and maintain the core backend systems that track real-time client balances, reserves, and financial activity for Wealthsimple’s financial products, using Kotlin, Kafka, and GraphQL.
Build and scale Python-based compliance and verification backends for a UK fintech client, designing REST APIs, async workflows, and high-load databases.
Build and scale ML infrastructure for Tinder’s recommendation and moderation systems, using Spark, Kafka, and LLM-serving frameworks while ensuring reliability and cost efficiency.
Build and maintain cloud-native lending platforms on AWS, automate deployments with GitOps, and ensure reliability with Kubernetes, Terraform, and observability tools like Prometheus and Grafana.
Build and operate backend services and data pipelines that ingest high-volume security telemetry, turning it into detection and remediation for customers using TypeScript/Node.js, Python, Go, and Kubernetes.
Principal engineer defining Mastercard’s global data architecture, modernizing legacy systems to cloud-native platforms, and enabling secure, real-time analytics across hybrid cloud.
Build and optimize high-performance backend services in Go and Kafka to process and analyze ad-tech data at scale, including ML-driven solutions.
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