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Builds and optimizes LinkedIn’s next-gen infrastructure (data, storage, streaming, traffic) to enable AI-first, scalable, and reliable product experiences at massive scale.
Act as MinIO’s technical ambassador to Fortune 500 C-suites, designing AI-ready data architectures and evangelizing high-performance object storage for generative AI and analytics workloads.
We are looking for one of our client for a talented Data Engineer is looking for a Data Engineer with hands-on experience in modern data engineering, distributed systems, lakehouse architectures, and cloud…
Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and…
Lead a government data-engineering team to build and run secure, high-scale data pipelines and platforms for military and allied operations, ensuring data quality and compliance.
Build and maintain scalable data pipelines and models for Checkout.com’s financial infrastructure, ensuring accuracy and compliance while partnering with finance teams to enable data-driven decisions.
Build and maintain a secure data platform using Python, Spark, and cloud tools to power threat detection, analytics, and GenAI for Tesco’s cybersecurity defenses.
Builds and evolves a scalable trade booking, reconciliation, and reporting platform for multi-asset class financial products using Java, Spring Boot, and cloud-native tools.
Builds and maintains scalable data platforms for Apple’s security solutions, focusing on anti-phishing, spam prevention, and network security. Uses NoSQL, ML, and big data to process high-volume threat data at global scale.
Builds and maintains ultra-scalable data platforms for Apple’s cybersecurity solutions (anti-phishing, spam, network security), leveraging NoSQL, ML, and big data technologies to process massive volumes of critical data.
Senior ML engineer builds and optimizes AI-driven feature pipelines and model training systems for a deep-learning ad platform, using Python, Spark, Kafka, and PyTorch.
Builds and maintains scalable, distributed back-end systems for a SaaS platform with a focus on accessibility compliance, leveraging cloud-native tech, microservices, and AI-assisted development tools.
Builds and maintains a unified data platform for AST SpaceMobile’s global cellular network, blending real-time telemetry and commercial data. Owns ingestion, storage, transformation, and governance across streaming (Flink) and batch pipelines while enabling BI, reporting, and AI/ML use cases.
Designs and maintains Kafka-based real-time data pipelines for enterprise systems, ensuring scalability, high availability, and seamless integration with cross-functional teams.
Bluetab, an IBM Company. certificados ¡Great Place to Work & Best Work to Place! como una de las mejores compañías para trabajar. Es posible que un gran número de candidatos se presenten a este puesto, así que…
Develops AI-driven predictive models and algorithms for sportsbook risk management and odds trading, leveraging sports data, betting transactions, and user interactions to improve product performance.
Principal Engineer defines the technical vision for Acceldata’s Open Data Platform, leading architecture and open-source contributions for scalable, distributed data systems powering enterprise analytics and AI.
Staff Engineer architecting and leading development of the Acceldata Open Data Platform, a petabyte-scale distributed data infrastructure system. Core tech: Java/Scala, big data stack (Hadoop, Spark, Kafka, etc.), Kubernetes, and multi-cloud environments.
This role involves designing and executing test plans for a big data network analytics and security product. The developer will build automation frameworks using Python or Perl and collaborate with DevOps teams to validate deployments on Kubernetes.
Designs and maintains backend systems for a game security framework, using Go and related tech to mitigate risks and protect gaming experiences.
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