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Mid-level backend role in metro with common skillset and 5+ years attracts strong candidate competition.
Core backend and data engineering skills are broadly transferable across industries.
Explicit 5+ years plus mandatory backend, Python/Java, cloud, Docker, CI/CD skills increases screening rigor.
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Develop and maintain scalable APIs, microservices, and data pipelines to support AI and data science workloads.
Design and optimize ETL processes and database schemas for data ingestion, transformation, and storage.
Collaborate with data scientists to deploy machine learning models and ensure backend system performance, reliability, and security.
Bachelor's degree in Computer Science, Engineering, or related field.
5+ years of experience in backend software development.
Proficiency in Python and Java; working knowledge of JavaScript.
Experience with RESTful API design, Docker containerization, cloud platforms (AWS, Azure, or GCP), and CI/CD pipelines.
Experienced in backend architecture supporting AI and machine learning workloads in a production environment.
Capable of mentoring junior engineers and contributing to engineering best practices through code reviews.
Familiar with modern API frameworks and industry-standard DevOps practices to enhance system reliability and performance.