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Build and scale core data infrastructure (storage, streaming, caching, indexing) to support large AI models, using MongoDB, Postgres, Kinesis, Flink, Spark, ElasticSearch, and Redis.
Build and maintain a high-performance data platform for post-trade processing, ingesting market data and powering AI-driven analytics for global banking clients using Java, Kafka, Flink, and SingleStore.
Build and maintain a high-performance data platform for global markets, processing and distributing real-time financial data using Java, Kafka, Flink, and SingleStore.
Build and maintain a high-performance data platform for global trading systems, ingesting market data and enabling AI-powered analytics for post-trade processing in Java/Scala.
Build and scale cloud-native risk-management apps using Java/Kotlin backend, React frontend, and AWS/Kubernetes infrastructure.
Build and optimize cloud data pipelines and lake house architectures for a global iGaming provider, migrating on-prem systems to AWS/Azure and implementing Kafka-driven streaming pipelines.
Lead a team building Grab’s Customer Data Platform, enabling real-time personalization, ML, and ad targeting by processing billions of events per hour with Python, Go, and distributed systems.
Designs and delivers scalable data pipelines, models, and analytics solutions using Azure, Databricks, and SQL to drive business insights and operational excellence in fleet management and financial services.
Pre-sales technical specialist driving IBM’s Data Streaming Platform and Flink solutions, collaborating with sales teams to craft and pitch technical proposals to win enterprise deals.
IBM seeks a Solution Engineer to drive pre-sales success for its Data Streaming Platform, designing and pitching streaming solutions using Flink and connectors to global accounts.
Principal AI/Data Engineer designs and builds enterprise-scale data and AI solutions on Databricks and cloud platforms, while leading client engagements and translating complex tech into business value for executives.
Senior Data Engineer builds and operates pipelines to migrate decades of legacy banking data into Constantinople’s AI-native banking platform using Snowflake, Python, and AWS.
Design and maintain scalable data pipelines and infrastructure to support AI, ML, and analytics initiatives for a global fintech trading platform.
Senior DevOps Engineer maintains SailPoint’s Identity Security Cloud SaaS in the UAE, running Kubernetes clusters, CI/CD pipelines, and distributed data stores (MySQL, PostgreSQL, Kafka, etc.) while ensuring 24/7 availability and compliance.
Build and optimize ultra-low-latency backend systems and microservices using Core Java, Kafka, and Flink for real-time data processing in a cloud-native environment.
Build and maintain scalable data ingestion pipelines and ETL/ELT processes for a cardiac remote monitoring platform using Python, Spark, and AWS.
Build and lead production AI systems for a global ecommerce platform, including LLMs, agents, and retrieval-augmented generation, spanning design, deployment, and monitoring.
Build production-grade AI features and services for a global ecommerce platform, integrating LLMs, RAG, and agent workflows using Java, Python, and cloud-native tools.
Lead engineer building a real-time financial data hub using Java/Spring Boot and Kafka, migrating from batch to event-driven pipelines while mentoring the team.
Builds and owns the end-to-end customer-journey pipeline: mobile SDK → Kafka → Databricks Bronze, plus event servers, auth middleware, A/B testing and MMP attribution for a Korean securities app.
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