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Remote role, recognizable employer, popular backend title and mid-level experience increase applicant competition.
Core backend, Python, cloud and microservices skills are broadly transferable across industries.
Explicit 2–3 years plus required Python, SQL, cloud, and Kubernetes skills enforce strict technical filtering.
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Develop and maintain backend microservices, MCP tools, and analytics services for secure enterprise data access and analysis.
Own services throughout their lifecycle including development, production support, reliability enhancements, and ongoing improvements.
Collaborate with senior engineers to design scalable data retrieval, enrichment, and analytics workflows integrated with platforms like Databricks, OpenSearch, and PostgreSQL.
2–3 years of software development experience.
Strong proficiency in Python and SQL.
Experience with AWS, Docker, Kubernetes, and CI/CD in cloud-native production environments.
Work Experience Required: 2-3 years, Notice Period: Not explicitly mentioned in the JD.
Experienced backend developer comfortable owning full lifecycle of microservices and production support in cloud-native environments.
Strong background working with datasets, analytics platforms, and integrating enterprise data services.
Knowledgeable with platforms such as Databricks, OpenSearch, PostgreSQL, and emerging AI-powered tools aligning with MCP and natural language interfaces.