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Maintains and optimizes enterprise SQL Server databases, ensuring high availability, security, and performance for critical business systems.
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as…
Build and maintain the core infrastructure and developer platform that powers an AI product, including Kubernetes-based runtimes and observability stacks, to keep engineering teams highly productive.
Owns and scales TMGM’s real-time financial data pipelines using Kafka, RabbitMQ, Airflow and ClickHouse to deliver sub-second analytics in a regulated finance environment.
Design and build enterprise-scale AWS data platforms and Lakehouse solutions using Spark, Python, and Apache Iceberg, leading architecture through implementation and optimization.
Build and maintain network automation and monitoring tools for a large ISP’s backbone, using Python, Go, and open-source tech to optimize routing and infrastructure.
Designs and builds scalable backend services for an AI-driven risk decisioning platform, deploying AI workloads with Docker/Kubernetes and optimizing Kafka/ClickHouse for low-latency data streaming.
Builds and optimizes Laravel backend services for a high-volume, real-time wallet platform using MongoDB, Redis, RabbitMQ, and Nginx.
Builds and optimizes scalable backend systems in Golang, integrating databases, message queues, and cloud tools to support high-performance microservices.
Builds and maintains real-time streaming infrastructure for vehicle telemetry and AI/ML platforms using Kafka/Redpanda and Flink in a cloud-native environment.
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team to deliver robust analytics infrastructure.
Build and maintain scalable real-time data pipelines and analytics systems using ETL/ELT, ClickHouse, and CDC tools.
Builds and maintains scalable data pipelines and ClickHouse analytics for a logistics and fintech platform, ensuring reliable data flow and high-performance queries.
Build and maintain scalable data warehouse solutions and pipelines using SQL, Snowflake, and Python to support logistics data needs.
Build and maintain CI/CD pipelines, infrastructure as code, and monitoring for AWS-based systems while using AI coding assistants to automate scripting, troubleshooting, and incident response.
Build and scale the data backbone for an e-commerce platform by designing ETL pipelines, optimizing warehouses, and implementing CI/CD for reliable data infrastructure.
Lead a team to design and maintain scalable ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS, Airflow, and Python.
DevOps Engineer maintains and scales AWS infrastructure for MediaStore, a B2B SaaS platform serving studios and broadcasters, using Kubernetes, PostgreSQL, and CI/CD pipelines.
Build and maintain the data platform that powers AI-driven insights for enterprise clients using ClickHouse Cloud, Snowflake, and Azure.
Build and maintain large-scale on-premise big data platforms (500+ nodes, 23+ PB storage) for a global payments unicorn, focusing on OLAP and data engineering tooling.
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