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Remote mid-level cloud role with broad AWS skillset increases applicant density and competition.
Cloud and AWS skills transfer across industries, but Redshift/ETL focus adds moderate domain specificity.
Explicit 5-8 years plus many mandatory AWS, data and IaC skills makes shortlisting highly selective.
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Design and develop large scale distributed systems with focus on parallel query optimization and large scale data analytics.
Develop and maintain AWS cloud infrastructure components including EC2, S3, Lambda, API Gateway, Aurora, Redshift, and Elasticache with strong emphasis on ETL pipelines for data movement.
Implement Agile-based CI/CD processes and manage microservices architecture using Docker, Kubernetes, and serverless technologies.
5-8 years of professional experience in cloud development, specifically with AWS services.
Strong expertise in AWS technologies: EC2, S3, Lambda, API Gateway, Aurora, Redshift, ElasticSearch, Redis, and Elasticache.
Proficient in Java and Python programming languages.
Work location is fully remote with working hours overlapping Pacific Standard/Day Time.
Experienced in building and optimizing parallel data processing (MPP) and large scale data storage systems.
Familiar with Agile software delivery and continuous integration/delivery pipelines in AWS environments.
Skilled in managing microservices using containerization (Docker, Kubernetes) and serverless architectures within a cloud-first organization.