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Strong employer brand, metro location, and an early-mid generalist backend role make competition high.
Backend, Python, cloud and SQL skills are broadly transferable, though security/analytics experience increases specialization.
Explicit 2–3 year requirement plus mandatory Python, AWS, Docker, Kubernetes and production support makes filters strict.
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Develop and maintain microservices, MCP tools, and analytics services to enable secure querying and analysis of enterprise data.
Own services throughout lifecycle including development, production support, reliability, and performance improvements.
Build integrations with enterprise platforms like Databricks, OpenSearch, PostgreSQL, optimizing data access and SQL queries.
2-3 years of software development experience.
Strong skills in Python and SQL.
Experience supporting and maintaining production services in cloud-native environments with AWS, Docker, Kubernetes, and CI/CD.
Work Experience Required: 2-3 years as explicitly mentioned.
Comfortable working with large datasets, analytics platforms, and AI-powered applications in backend development.
Experienced in service ownership including troubleshooting, reliability, and operational efficiency improvements.
Familiar with microservices architecture and integrations with enterprise data platforms like Databricks, OpenSearch, and PostgreSQL.