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Generalist backend role, metro hiring, and broad cloud/microservices skillset raise applicant competition.
Core backend, cloud, and SQL skills are highly transferable across industries with low domain lock-in.
Explicit 2–3 years plus mandatory Python, SQL, cloud, Kubernetes and production support increases shortlisting rigidity.
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Develop, maintain, and support backend microservices, MCP tools, and analytics services handling enterprise data.
Own service lifecycle responsibilities including production troubleshooting, reliability improvements, and platform modernization.
Build and optimize data retrieval, enrichment, and analysis workflows integrated with Databricks, OpenSearch, and PostgreSQL.
2–3 years of software development experience with strong Python and SQL skills.
Experience with backend services or microservices, production support in cloud-native environments.
Familiarity with AWS, Docker, Kubernetes, and CI/CD pipelines.
Work Experience Required: 2-3 years. Notice period: Not explicitly mentioned in the JD.
Experienced in building scalable data solutions integrated with analytics and AI-powered platforms.
Comfortable owning end-to-end service lifecycle including production troubleshooting and platform enhancements.
Skilled in optimizing data access and query performance, with knowledge of Databricks, OpenSearch, and PostgreSQL.