job description
Join KMZD Global as a Senior AWS & Databricks Developer and lead the charge in building cutting-edge applications that power Data Science, AI, and Machine Learning initiatives. In this pivotal role, youâll design, architect, and deploy scalable cloud-native solutions on AWS while leveraging Databricks to unlock the full potential of big data and advanced analytics.
Based in the vibrant tech hubs of Bali (Canggu, Ubud, Denpasar, and more), youâll collaborate with cross-functional teams to drive innovation, optimize data pipelines, and deliver high-performance systems that transform raw data into actionable insights. This is a unique opportunity to work on groundbreaking projects while enjoying the dynamic work-life balance of Indonesiaâs most sought-after destinations.
If youâre passionate about cloud computing, distributed systems, and AI-driven solutions, we want to hear from you. Elevate your career with a role that combines technical excellence with the freedom to thrive in a tropical paradise.
Responsibility
- Cloud Architecture & Development: Design, build, and maintain scalable, secure, and high-performance applications on AWS, utilizing services like EC2, S3, Lambda, and RDS.
- Databricks Optimization: Develop and optimize data pipelines, ETL processes, and ML workflows using Databricks (Spark, Delta Lake, MLflow).
- AI/ML Integration: Collaborate with data scientists to deploy and scale machine learning models in production environments.
- Infrastructure as Code (IaC): Automate cloud infrastructure provisioning using Terraform, CloudFormation, or similar tools.
- Performance Tuning: Monitor, troubleshoot, and optimize system performance, cost efficiency, and reliability.
- Security & Compliance: Implement best practices for cloud security, IAM policies, and data governance.
- Cross-Functional Leadership: Mentor junior developers and work closely with stakeholders to align technical solutions with business goals.
- CI/CD Pipelines: Establish and maintain robust DevOps practices for seamless deployment and integration.
Qualifications
- 5+ years of hands-on experience in software development, with a focus on AWS cloud services and distributed systems.
- Proven expertise in Databricks (Spark, PySpark, SQL) and big data technologies (e.g., Hadoop, Kafka).
- Strong proficiency in Python, Scala, or Java for data engineering and ML applications.
- Experience with containerization (Docker, Kubernetes) and serverless architectures.
- Deep understanding of data warehousing, lakehouse architectures, and real-time analytics.
- Familiarity with MLOps tools (MLflow, TensorFlow, PyTorch) and model deployment frameworks.
- AWS Certified Solutions Architect or Databricks Certified credentials are a plus.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.