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Senior Software Engineer - Distributed Systems & Full-Stack
Builds and maintains a distributed data platform’s frontend and backend using Python, TypeScript, FastAPI, and Ray.io to solve performance and scalability challenges.
Software Developer (Java)
Build ultra-low-latency Java systems that power a global quantitative trading firm’s execution and analytics platforms, optimizing distributed computing for microsecond performance gains.
Senior Python developer
Build and maintain a Python-based ETL framework that ingests, transforms, and delivers financial data using Spark, Azure Databricks, and Airflow.
Senior Java Full Stack Developer(Use Precscreening Questions)
Builds and maintains Java-based financial systems using Spring, JPA/Hibernate, and SQL, collaborating with architects and teams to deliver secure, scalable solutions.
Full Stack Developer - Vancouver, BC, Canada
Build and maintain full-stack web apps using React/Angular on the front end and Node.js/Express on the back end, plus AWS services and DevOps pipelines.
LẬP TRÌNH BACKEND CÓ KINH NGHIỆM MESSAGE BROKE
Build and maintain backend APIs and services for telecom VAS applications using .NET, Java, NodeJS, or Python, with a focus on microservices, Docker, Kubernetes, and message brokers.
BACKEND DEVELOPER (.NET, JAVA, NODE.JS)
Builds high-throughput banking back-end APIs in Java, .NET, or Node.js, using cloud-native and distributed systems to process millions of daily transactions.
Data Engineer I (On Site - Rome)
Build and maintain scalable data pipelines and distributed systems using Java, NoSQL, and RDBMS to support data-driven applications and architectures.
Data Engineer II (Onsite – Rome)
Builds and optimizes data-intensive applications using distributed computing tech like Hadoop and Spark, primarily in Java, while collaborating on scalable data architectures.
Senior Python Developer (Internal Frameworks)
Build and maintain scalable internal platforms and data tools in Python to support high-performance trading systems and decision-making.
Senior Python Developer (Internal Frameworks)
Build and maintain scalable internal platforms and data tools in Python to support high-frequency trading and decision-making at a quantitative trading firm.
Sr. Software Engineer
Build enterprise Java/SpringBoot apps with React, Elasticsearch, Redis, and RabbitMQ to support fraud detection and investigation tools for a regional security services provider.
Data Architect (Category - Architect) (Doha)
Designs and governs enterprise-scale data platforms for an AI-driven oil & gas company, focusing on cloud-native architectures (Azure), data governance, and AI-ready data models to support predictive maintenance and subsurface modeling.
Data Architect (Category - Architect) (Doha)
Designs and governs enterprise-scale data platforms for an oil & gas company, focusing on cloud-native architectures (Azure/Synapse/Databricks) to support AI, analytics, and predictive maintenance in Doha.
Data Engineer (OT Data)
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Data Engineering Consultant (Category - Architect)
Design and build scalable data platforms for industrial IoT and AI in oil & gas, using Azure cloud services and real-time streaming pipelines.
Software Architect
Designs and governs scalable, secure software architectures for enterprise platforms, ensuring alignment with business needs and best practices in cloud, APIs, and DevOps.
Senior Data Engineer / Data Scientist (AI & LLM Solutions)
Builds scalable data pipelines and AI/ML models for anti-financial-crime systems, using Python, LLM frameworks, and GCP tools to enable intelligent automation and agent-based solutions.
AI Platform Engineer – Scale Secure Data/ML Infra
Build and maintain a secure, scalable data/ML platform on AWS SageMaker, EKS, and Azure DevOps to enable AI model experimentation and deployment for healthcare.
Data Engineer - QuantumBlack, AI by McKinsey
Build and own scalable data pipelines and analytics platforms to support AI adoption and business impact, collaborating with cross-functional teams and mentoring junior engineers.