Data Infra Engineer, Kumo

• If you thrive in designing robust, cloud-native infrastructure, optimizing data pipelines, and building scalable services, we’d love to hear from you!
• 1+ years of experience as an Infrastructure Engineer, Data Engineer, or related role in SaaS/Enterprise environments
• Strong expertise in building, scaling, and maintaining cloud infrastructure (AWS, GCP, or Azure)
• Hands-on experience with data storage, ingestion, and processing in distributed environments
• Proficiency in ETL development and building high-performance data pipelines
• Solid understanding of databases, storage formats (Parquet, Avro, Arrow, JSON), and schema designs
• Experience working with orchestration tools such as Temporal, Airflow, or Luigi
• Strong programming skills in Python, Scala, or Java
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Experience with Infrastructure as Code (Terraform, CloudFormation, Pulumi)
• Ability to debug performance bottlenecks and optimize distributed computing workloads
• Excellent communication skills, with the ability to collaborate effectively across teams

Desirable

• We are looking for Data Infrastructure Engineers to join our team and help build a scalable, high-performance ML platform
• Design and optimize scalable, cloud-native infrastructure for high-performance ML workloads
• Develop and maintain efficient data ingestion pipelines and connectors for large-scale datasets
• Build and enhance resilient ETL pipelines to transform, process, and store data for analytics and ML
• Implement best practices for data security, governance, and sharing within distributed environments
• Optimize performance of data processing frameworks, including Spark, Presto, and Hive
• Automate deployment of infrastructure using Kubernetes, Terraform, and CI/CD tools
• Work closely with data scientists and ML engineers to bridge infrastructure with machine learning applications