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Automotive
Develop and lead software, observability, and chaos engineering solutions for global cloud services. Build APIs and high-performance backend systems using Go, JavaScript, Rust, and Python; design distributed systems on GCP and Kubernetes; improve reliability, scalability, security, and performance; troubleshoot production environments; participate in on-call, postmortems, capacity planning, security assessments, and disaster recovery exercises; and mentor engineers through design and code reviews.
Top Skills:
Api DevelopmentC/C++Chaos EngineeringDisaster RecoveryDistributed SystemsDocument DatabasesDynatraceGoGoogle Cloud Platform (Gcp)GrpcJavaScriptKubernetesLinuxObservabilityOpentelemetryPythonRelational DatabasesRestRustTest-Driven Development
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Designs, develops, tests, maintains, and optimizes Java applications throughout the SDLC. Builds microservices and REST APIs, supports Azure and CI/CD environments, troubleshoots production issues, collaborates with engineering and QA teams, and develops AI solutions to improve products and organizational efficiency.
Top Skills:
Agile/ScrumAi Tools And FrameworksAngularjsAzureCi/CdDevOpsGitGitJavaMicroservicesMongoDBOracleReactRest ApisSQL Server
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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
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.
