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Build and automate distributed computing infrastructure for CERN’s particle physics experiments, using DevOps tools like Kubernetes, Prometheus, and Python to ensure global data processing and transfer services.
Engineer distributed computing infrastructure for CERN’s HL-LHC, ensuring global data processing reliability and integrating AI-driven automation across international sites.
Builds and maintains large-scale systems at Google, working across the full stack with C++, Java, and TypeScript to deliver next-gen products like YouTube.
Build and maintain the Rucio data-management platform that federates exabyte-scale scientific datasets across global supercomputers and AI factories, using Python, Kubernetes and open-source workflows.
Builds large-scale data pipelines and distributed systems to power Google Shopping’s AI-driven merchant tools and business discovery features.
Operate and improve a large-scale workflow system for CMS experiment data at the Large Hadron Collider, ensuring reliable high-throughput computing across global infrastructure.
Build and maintain large-scale systems at Google, working across full-stack development with Java, Python, Go, or C++ backends and JavaScript/TypeScript frontends, while contributing to AI/ML initiatives.
Design and build scalable backend systems using TypeScript/NestJS or PHP/Laravel on Azure, focusing on microservices, APIs, and database optimization.
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Build scalable scientific data tools for drug discovery, focusing on efficient storage, processing, and analysis of chemical datasets using Python, cloud services, and distributed computing.
Build and scale backend APIs and data models for an automated TV advertising platform, using Python, SQL, and modern data stacks to support analytics and integrations.
Builds core data and metadata infrastructure at Google Cloud, designing scalable systems to unify and federate information across services.
Build AI-powered location intelligence models and APIs that turn TomTom’s map and traffic data into actionable insights for enterprises, governments, and partners.
Lead a team of Android and data engineers to build scalable platforms, integrating generative AI tools and LLMs into workflows while overseeing large-scale software projects.
Build scalable data pipelines and AI/ML models for anti-financial crime at a UK bank, using Python, LLM frameworks, and distributed computing on GCP.
Build and optimize scalable data pipelines, ETL processes, and cloud-based data architectures using Python/Java/Scala, Spark, Kafka, and cloud platforms (AWS/Azure) to support large-scale analytics and client projects.
Builds and optimizes large-scale data pipelines using Scala, Spark, Kafka, and Airflow to process massive datasets for global stakeholders in the mobile app ecosystem.
Build AI-powered agentic tools for Google Kubernetes Engine, leading full-stack development with Go, TypeScript, and cloud services to simplify cluster management.
Builds and improves UI for Cloud Composer and Dataform, a managed data orchestration and analytics workflow service, using JavaScript/TypeScript and collaborating with backend teams.
Build predictive models, recommendation systems, and AI-powered workflows for a large-scale ad-tech platform, analyzing billions of daily requests to optimize targeting and business outcomes.
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