Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Lead a team to manage and enhance an Azure-based data platform and ETL pipelines, collaborating with IT and business stakeholders. Requires expertise in SQL, Python/PySpark, and data warehousing to deliver data products.
Build and scale production-grade AI agents for financial operations using Python and LLMs within a fintech company focusing on stablecoin-powered finance.
Develop and maintain full-stack applications using Java, Springboot, Angular, and Azure cloud services. Lead architectural design, code reviews, and vendor management within an Agile environment.
Design and maintain ETL pipelines and data architecture using Azure Data Factory and Databricks. Key technologies include Azure services, SQL, and Python.
Design and maintain scalable Azure cloud data pipelines using Data Factory and Databricks. Collaborate with teams to ensure ETL processes, data quality, and compliance using DevOps and Agile practices.
Develop high-performance, low-latency C++ trading platform features and optimize software lifecycle, collaborating with traders for a global prop trading firm.
Lead AI Data Engineer designing, developing, and deploying AI-powered applications and scalable data solutions. Mentors data engineers and drives business intelligence projects using hands-on model development and data-driven insights.
Develops low-latency C++ trading platforms and infrastructure for a global proprietary trading firm, focusing on market data feed handlers, multithreaded systems, and interaction with traders to enhance algorithmic trading capabilities.
This Data Engineer role involves designing, developing, and supporting AI-powered applications for Smart City solutions. The position requires strong skills in Python, SQL, and ML libraries to deploy AI/ML models into production and manage a team of data engineers.
DevOps Engineer maintaining and automating cloud/on-prem infrastructure, migrating to Kubernetes, and improving CI/CD. Uses Ansible, Terraform, Prometheus, Grafana, ELK, Git, Python, or Bash.
Lead backend architecture and development for a high-growth financial platform using Java, Spring Boot, and microservices to handle real-time transactions and digital assets.
Lead end-to-end application development using Java/Spring Boot, Angular/Node.js, and Azure cloud infrastructure while guiding a cross-functional team in a SCRUM environment.
My client is a global leading hedge fund with office in Hong Kong. They are seeking to hire a Python Developer to join their team in Hong Kong. Being part of the team, you will work on software projects with a focus on…
Senior Java developer building high-performance trading and investment platforms for an investment management firm in Hong Kong, using Java, Spring Boot, microservices, Kafka, Redis, and SQL databases.
The Full Stack Software Engineer will design and develop applications using React, Node.js, and Java Spring Boot within an Agile environment. The role involves leading junior team members, resolving production incidents, and building customer-facing back-end services.
The Software Engineer (Build & Release) manages software release schedules, build processes, and configuration management for mobility rail systems. The role involves automating CI/CD pipelines, troubleshooting build failures in Windows and Unix environments, and ensuring compliance with quality standards.
The software engineer will design and implement robust code to enhance service stability and user experience for core projects using Java and distributed systems technologies.
The AVP Java Developer will design and implement backend services and frontend components for liquid financing infrastructure using Java Spring Boot. The role involves collaborating with global teams to deliver scalable solutions and contributing to CI/CD automation.
Envisage Digital Technology Limited is hiring a Full-Stack Web Engineer to build scalable web applications for the construction industry using React and Node.js. The role involves working with SQL Server databases and RESTful APIs to support data-driven solutions.
The KDB+/Q Trading Analytics Engineer will develop and maintain analytics platforms for electronic trading, working directly with quant and trading teams in Hong Kong. The role focuses on managing real-time and historical market data and building APIs for quantitative modeling.
We couldn't check your fit for this role — add a CV to your profile to see it next time.