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Metro location, generalist title, and employer brand increase applicant density.
Core cloud, Kubernetes, and IaC skills are transferable across industries but data-platform context adds moderate bias.
Explicit 0–2 years plus multiple mandatory cloud and IaC skills raise filtering strictness.
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Build and maintain cloud-native data platform infrastructure enabling organization-wide data product discovery, publishing, and governance at scale.
Develop Python-based data integration workflows and maintain CI/CD pipelines and AWS infrastructure using infrastructure-as-code.
Collaborate with data product teams and platform stakeholders to support platform reliability and improve developer experience.
0-2 years of experience with a bachelor's degree in Computer Science, IT, Engineering, or equivalent practical experience.
Proficiency in Python programming and familiarity with REST APIs; knowledge of Java or Spring is a plus.
Working knowledge of AWS core services including EKS, RDS, S3, Glue, IAM, VPC, and CloudFront.
Experience with infrastructure-as-code tools like Terraform or CloudFormation and understanding CI/CD pipeline concepts.
Hands-on engineer comfortable in cloud-native environments with end-to-end ownership of platform infrastructure.
Experience or interest in leveraging artificial intelligence tools to enhance software development and operational workflows.
Familiarity with containerized deployments, Kubernetes, data governance platforms, and Agile engineering teams is advantageous.