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Engineer and maintain a Kubernetes-based big-data platform using Azure services, Apache NiFi, and CI/CD pipelines to ensure reliability and security.
Designs scalable big-data architectures using AWS/Azure, Kafka, Spark, and Kubernetes, with a focus on Data Mesh, CI/CD pipelines, and real-time streaming for data-intensive applications.
"ПМХ-ИНФОТЕХ» - аккредитованная IT компания, которая разрабатывает, внедряет, адаптирует и сопровождает корпоративные информационные системы, специализированные IT-решения и развитие информационной инфраструктуры…
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a…
Maintain and automate Linux-based cloud infrastructure using CentOS/RedHat, Docker, AWS, and Ansible/GitLab pipelines for a government contractor.
Builds and maintains secure Java-based backend services using REST, Kubernetes, and messaging systems like ActiveMQ for government clients.
Senior DWH/BI analyst building and maintaining data warehouses, ETL pipelines, and BI dashboards to power corporate analytics and decision-making.
Lead a team of data engineers to build pipelines, data lakes, and AI-driven analytics for semiconductor manufacturing, focusing on ASML EUV machine data and agentic applications.
Build and scale a big-data platform and analytics services (e.g., prediction-as-a-service) that power Mastercard’s payments-focused data products using Python/Scala, Spark, Hadoop, SQL and React.
Full-stack developer building and maintaining HR applications for a government enterprise using AngularJS, JavaScript, and PostgreSQL in a secure, agile environment.
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 predictive models and analytics to optimize Mastercard’s pricing and interchange strategies using Python, SQL, and cloud platforms like Azure.
Lead a team building scalable data pipelines, cloud platforms, and AI-enabled solutions for a fintech payments business using Azure, Kafka, Spark, and Python.
Build and maintain large-scale batch and real-time data pipelines using Spark, Kafka, and NiFi to power Mastercard’s global payments infrastructure.
Maintains and troubleshoots Red Hat Enterprise Linux and Windows systems, configures network components, and provides Tier 1–2 IT support for a government customer in Maryland.
Analyze cyber risks for the Department of Defense by parsing and processing cloud-based data, then recommend mitigation strategies to protect missions and systems.
Build and maintain the data and ML infrastructure for an AI-driven decision-support system, focusing on probabilistic record matching, relevance scoring, and grounded text generation with full provenance tracking.
Build and optimize cloud-native streaming platforms using Apache Flink and Kubernetes for large-scale data processing, focusing on distributed systems and enterprise-grade solutions.
Summary of Position He/She will be a technical L3 resource for all Big Data services. As such, he/she will provide support for all production support activities within the Big Data team in Singapore. He/She is…
We are seeking a highly motivated and experienced DevOps Engineer to join our fast-paced development team. The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration…
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