Senior Site Reliability Engineer (AWS & Machine Learning) - Remote from Bali

Lewis Personnel Management · 📍 Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, Badung · Diposting 2026-10-09
FULL_TIME⭐ TERVERIFIKASI
PHP 120000 - 170000
Lewis Personnel Management is seeking a highly skilled Senior Site Reliability Engineer to join our team. This is a remote position based in Bali, offering a competitive salary and the opportunity to work with cutting-edge technologies. The ideal candidate will have a strong background in AWS and Machine Learning, with a passion for building and maintaining highly available and scalable systems.

📋 Tanggung Jawab Pekerjaan

Design, implement, and maintain highly available and scalable cloud infrastructure on AWS.,Develop and deploy machine learning models and pipelines to support our products and services.,Monitor and optimize system performance, ensuring high availability and reliability.,Collaborate with cross-functional teams to identify and resolve system issues and outages.,Stay up-to-date with the latest trends and best practices in cloud computing and machine learning.,Mentor and train junior engineers and other team members on AWS and machine learning technologies.,Participate in on-call rotations to ensure timely response to system incidents and outages.

🎓 Kualifikasi & Syarat

Bachelor's degree in Computer Science, Engineering, or a related field.,5+ years of experience in site reliability engineering, cloud computing, and machine learning.,Proven expertise in AWS services, including EC2, S3, RDS, Lambda, and others.,Strong programming skills in Python, Java, or other relevant languages.,Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.,Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.,Familiarity with CI/CD pipelines and infrastructure as code (IaC) tools like Terraform or CloudFormation.,Excellent communication and collaboration skills, with the ability to work effectively in a remote team environment.

🛠️ Keahlian

AWSMachine LearningPythonDockerKubernetesTerraformTensorFlowPyTorch
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