Software Engineer
ScienTec ConsultingLokasi: Central Region
Tentang lowongan
Salary: SGD 6500 - 10500 per month
We’re seeking an experienced Software Engineer to maintain and enhance a production platform powering personalised digital services. You will work across backend services, web applications, data pipelines and cloud infrastructure to ensure the platform remains reliable, scalable and secure.Why Join Us
- Work on a live AI-enabled platform supporting multiple products
- Attractive remuneration package with AWS/Bonuses + Hybrid work arrangements
- Own end-to-end development across full-stack, cloud and data systems
- Develop and enhance full-stack applications, APIs and platform services.
- Deliver new features, bug fixes and code improvements while maintaining engineering quality.
- Build user-facing interfaces and integrate them with backend systems.
- Maintain reliable production systems, data pipelines and scheduled processing workflows.
- Monitor platform health, troubleshoot issues and support incident resolution.
- Manage cloud deployments, system upgrades, security patches and infrastructure optimisation.
- Min. 5 years of professional software engineering experience, with the ability to work across frontend and backend systems with development experience in Python.
- Experience developing modern web applications and integrating frontend applications with APIs.
- Experience operating production services in a cloud environment, preferably AWS.
- Hands-on experience with Docker, Kubernetes, monitoring, alerting and incident management.
- Experience with Spark/PySpark; exposure to Databricks or Airflow would be advantageous.
- Exposure to machine-learning, LLM or recommendation systems in production would be advantageous.
This authorises us to:
- Contact you regarding suitable career opportunities.
- Retain or delete your personal data as appropriate during the application process.
Elias Yeo HongJie (Outsourcing Team)
ScienTec Consulting Pte Ltd – 11C5781
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Keahlian
- ai
- Airflow
- api
- AWS
- cloud
- data-pipelines
- databricks
- Docker
- Kubernetes
- llm
- machine-learning
- Apache Spark
- Python
- recommendation-systems