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Architects and maintains scalable, reliable data infrastructure using Terraform, Beam, and Flink to support AI agents and analytics at a fintech payments company.
Build and maintain an international enterprise digital platform using Java, Spring Boot, Angular, and microservices with Kafka, Flink, and MongoDB.
Build and maintain Java-based full-stack applications using Spring, Docker, and Kubernetes while collaborating in an Agile/DevOps team.
Build and maintain core data platforms (storage, streaming, caching, indexing) that power large-scale AI models at a leading AI platform company.
Build and scale core data platforms (storage, streaming, caching, indexing) that power Scale AI’s Generative AI Data Engine and RLHF systems for cutting-edge LLMs.
Build AI/ML models and graph analytics for telecom network autonomy, using Python, BigQuery, and KPI engineering to predict faults, optimize performance, and support AIOps and digital twin systems.
Design and maintain scalable data pipelines and infrastructure using Spark, Kafka, and cloud tools to process large datasets for enterprise clients.
Build and optimize scalable big-data infrastructure for TikTok’s live-stream recommendation systems using Java/C++ and tools like Spark, Flink, Kafka, and Redis.
Build and optimize scalable data pipelines for AI model training, focusing on multimodal datasets and closed-loop evaluation systems to improve large language and multimodal models.
Build and maintain scalable backend systems for TikTok’s Trust and Safety platform to detect harmful content and abusive behavior using data pipelines and real-time processing tools.
Builds scalable backend systems and infrastructure for Palantir’s data platforms, using Java/Rust/Go and distributed tech like Kafka and Kubernetes to power secure, high-performance data solutions for global institutions.
Builds scalable microservices in Java/Spring for enterprise risk systems, using Kafka, Kubernetes, AWS, and Flink.
Senior SRE builds and runs Azure-based Monitoring & Observability and Data Quality platforms, setting up metrics, logs, traces, alerting, and automation to keep production environments reliable and cost-efficient.
Обязанности: •Сопровождение и эксплуатация Data Lake платформ •Поддержка S3/Object Storage инфраструктуры •Мониторинг, диагностика и устранение инцидентов Troubleshooting производительности платформы и storage систем…
DevOps engineer maintains a Data Lake platform using MinIO/S3 storage, Kubernetes, and big-data tools (Spark, Airflow, Kafka) while automating ops and troubleshooting performance issues.
Build and deploy LLM-powered systems to modernize large-scale data warehouses, automating SQL/Spark/Flink pipelines and validating transformations in production environments.
Designs and maintains scalable data pipelines, edge apps, and cloud infrastructure using Spark, Kafka, and cloud services to enable real-time analytics and ML at Vodafone.
Builds and maintains containerized data infrastructure on Kubernetes for an AdTech company, focusing on Spark/streaming pipelines, Python automation, and GitOps deployments to ensure scalable, reliable data processing for audience intelligence and campaign automation.
Designs scalable, AI-ready architectures for PitchBook’s investment platform using Java, Spring, React, and cloud services, guiding engineering teams and aligning tech with business goals.
Senior Data Scientist builds and deploys time-series forecasting and optimization models for energy markets, using Python, MLOps, and cloud tools to reduce costs and improve grid utilization.
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