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Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develop and maintain responsive React user interfaces using TypeScript, JavaScript, HTML, and CSS, while supporting Java Spring Boot and Python development. Responsibilities include front-end architecture, performance monitoring, debugging, browser-based testing, code reviews, deployment support, QA defect resolution, source control, documentation, and delivery of technical artifacts. The role also requires daily use of AI tools, GitHub Copilot, Microsoft 365, and related development workflows.
Top Skills:
CSSEnzymeFluxGitGitGithub CopilotHTMLJavaJavaScriptJestMaterial UiMicrosoft 365PythonReactRedux SagaSpring BootTypescriptWebpack
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AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Design, develop, test, deploy, and maintain scalable backend software for flight filters, ranking, offer selection, and configuration systems. Translate product requirements into resilient technical solutions, contribute to system and API design, model data, own features through production support, and collaborate across teams. Apply AI/ML concepts and safely operate AI-enabled solutions while improving reliability, performance, security, accessibility, and customer outcomes.
Top Skills:
Ai/MlAPIsAutomated TestingVersion Control
Cloud • Information Technology • Security • Software
Own the architecture and technical direction of Egnyte’s distributed data migration platform, including customer agents, cloud control planes, and cloud-to-cloud services. Improve performance, reliability, data integrity, observability, and deployment safety across large-scale migrations. Lead incident response, technical design, cross-functional escalations, mentoring, and engineering quality improvements.
Top Skills:
Amazon S3AWSAzureAzure Blob StorageAzure FilesGCPGitopsGoGoogle Cloud StorageJavaKubernetesNfsPythonSmb
Design and implement high-frequency automated trading systems, enhance system performance, research algorithms, and lead engineering efforts in a trading environment.
NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes.
Key Responsibilities:
As a High-Frequency Trading Software Developer, you will:
- Design and implement high-frequency automated trading systems.
- Enhance system performance through network and systems programming optimizations.
- Research and develop algorithms to minimize trading system latency.
- Develop tools for risk management and performance tracking.
- Oversee the end-to-end lifecycle of critical software modules, from design and deployment to optimization and support.
- Lead the core engineering team to drive innovation and efficiency.
Preferred Qualifications:
We’re seeking candidates with:
- A degree in Computer Science, Mathematics, or Engineering from a reputed institution.
- 4+ years of relevant work experience.
- Proficiency in C/C++ programming, along with expertise in object-oriented programming, data structures, and algorithms.
- Familiarity with Linux, Python, and shell scripting.
- Strong problem-solving and communication skills.
- Knowledge of TCP/IP, Ethernet, and parallel programming models.
- Prior experience in the HFT industry, hedge funds, or banks with a proven track record.
What We Offer:
- Competitive salary package
- Opportunity to work in a dynamic and collaborative environment
- Career growth and development opportunities
- Catered breakfast and lunch
- Annual international trip
- Monthly team dinners
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
