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Mid-level backend title, metro hiring, and broad cloud/microservices skills increase applicant competition.
Backend and cloud skills transfer across industries, though cybersecurity and analytics experience moderately increases specificity.
Explicit 2–3 year requirement plus mandatory Python, cloud, and production support skills create moderate filtering.
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Develop and maintain backend microservices, MCP tools, and analytics services for enterprise data access and analysis.
Own service lifecycle including development, production support, performance improvements, and platform modernization.
Integrate with platforms like Databricks, OpenSearch, and PostgreSQL to optimize data workflows and service reliability.
2–3 years of software development experience.
Strong proficiency in Python and SQL.
Experience with building and maintaining backend services or microservices in a cloud-native environment, including AWS, Docker, Kubernetes, and CI/CD.
Background checks required; compliance with information security policies; candidate must authorize access under U.S. export control laws if applicable.
Experienced in working with datasets and analytics platforms to build scalable data solutions and optimize data access.
Comfortable owning full service lifecycle from development through production support and ongoing enhancements.
Familiar with enterprise platforms and integrations involving Databricks, OpenSearch, MCP, and AI-powered applications.