Deskripsi Pekerjaan
Are you a passionate Software Engineer looking to push the boundaries of cloud-native architecture? The Supreme HR Advisory is seeking a talented individual to join our innovative team in Tuas. In this role, you will be at the forefront of designing and deploying cutting-edge AI/ML-integrated solutions leveraging the power of AWS serverless computing.
You will play a pivotal role in modernizing our digital infrastructure, focusing on AWS Lambda, containerization, and Infrastructure as Code (IaC) to drive operational excellence. We are looking for a proactive problem-solver who thrives in high-paced environments and is dedicated to building secure, scalable, and high-performance cloud ecosystems for our enterprise clients.
Tanggung Jawab
- Architect and implement scalable serverless solutions using AWS Lambda and related cloud-native services.
- Develop, deploy, and maintain robust AI/ML model integration pipelines into production environments.
- Design and automate cloud infrastructure using Infrastructure as Code (IaC) principles (e.g., Terraform, AWS CloudFormation).
- Optimize containerized applications to ensure high availability and performance across cloud platforms.
- Collaborate with cross-functional teams to integrate enterprise-grade platforms and third-party APIs.
- Monitor and troubleshoot system performance, implementing security best practices and proactive patches.
- Contribute to the full software development lifecycle (SDLC), from conceptualization and design to deployment and post-launch support.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Minimum 2+ years of professional experience in cloud-based software development (specifically AWS).
- Proven expertise with serverless architecture (AWS Lambda) and containerization tools (Docker/Kubernetes).
- Strong proficiency in programming languages such as Python, Node.js, or Java.
- Hands-on experience with IaC tools and version control systems like Git.
- Solid understanding of AI/ML workflows and frameworks (e.g., TensorFlow, PyTorch, or Scikit-Learn) is highly preferred.
- Strong analytical mindset with excellent verbal and written communication skills.