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Build cloud-native microservices and AI-native platforms for Ericsson’s Service Orchestration product, integrating LLMs, RAG, and AI workflows using Kubernetes, Python/Java, and AI tooling.
Senior DevOps Engineer designs and manages GCP-based cloud infrastructure and CI/CD pipelines for client data analytics projects, automating deployments and ensuring scalable, secure systems.
Build and maintain cloud infrastructure and CI/CD pipelines for a real-time AI market intelligence platform serving financial institutions, using AWS, Docker, and Pulumi.
Build and scale ML infrastructure for a quantitative trading firm, designing feature stores, MLOps pipelines, and data lakes to support petabyte-scale time-series models in low-latency environments.
Design and build high-traffic backend systems in Go and full-stack React apps; lead architecture, mentor engineers, and integrate AI tools while ensuring robust, scalable infrastructure on AWS and Kafka.
Build and own cloud infrastructure for an AI-driven materials discovery platform, focusing on GPU compute, CI/CD, and reproducibility to accelerate scientific breakthroughs.
Design and maintain Azure cloud infrastructure, Kubernetes clusters, and CI/CD pipelines for a platform supporting AI/ML models and applications.
Build and maintain AWS-based microservices in Python (FastAPI/Flask) to power secure device-financing platforms used globally, focusing on Lambda, SQS, API Gateway, and event-driven workflows.
Build and maintain scalable data pipelines and analytics for cybersecurity at a global bank, using Python, SQL, Spark, Kafka, and cloud platforms.
Leads data engineering teams to build AI-driven pipelines and data foundations for an energy-trading firm using Databricks, PySpark, Python, and Azure.
Principal Data Engineer designs secure, cloud-native data platforms and leads teams to modernize legacy systems using Azure/AWS/GCP, SQL, Python, and Spark.
Senior Data Engineer builds and optimizes OLTP databases and scalable data pipelines to power analytics and ML, using SQL, Python, AWS, and dbt.
Build and maintain Tripadvisor’s petabyte-scale data pipelines and platforms using Java, Python, Spark, Flink, and Snowflake to power analytics, ML, and GenAI across the travel giant’s global brands.
Principal Data Engineer designs and builds scalable data pipelines on Databricks/AWS or Azure, using PySpark, SQL, and Delta Lake to migrate customers to cloud data platforms.
Build and maintain a cloud-based pathogen genomics data platform using Python, Airflow, and Oracle/AWS/Azure to ingest, process, and secure genomic and clinical data for early epidemic warnings and diagnostics.
Build and maintain scalable data pipelines and analytics infrastructure for Roku’s CTV advertising auction platform, processing billions of daily ad events to support bidding strategy and monetization decisions.
Senior Data Engineer builds data contracts, observability tools, and governance frameworks to ensure Depop’s marketplace data is reliable, compliant, and actionable for analytics and product teams.
Build and maintain Tripadvisor’s petabyte-scale data pipelines and platforms using Java, Python, Spark, Flink, and Snowflake to power analytics, experimentation, and GenAI across the travel giant’s global brands.
Builds and maintains scalable HR data pipelines on Azure Databricks and ADF, focusing on automated, high-quality analytics solutions for employee lifecycle data.
Principal Data Engineer designs and builds modern, cloud-native data platforms and real-time pipelines using Databricks, Snowflake, AWS/GCP, Spark, Kafka, and Flink for enterprises and government clients.
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