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Generalist Software Engineer title, mid-level range, metro location, and broad backend skill requirements.
Backend engineering skills are broadly transferable across industries with low domain specificity.
Explicit 4–8 years requirement and mandatory backend Java/Python expertise increases selection rigidity.
Own end-to-end development of backend systems and product features, including design, deployment, and iteration.
Build, scale, and maintain scalable, reliable backend services such as REST APIs and microservices supporting real customers.
Integrate AI/LLM APIs into backend workflows to enable AI-driven features like automation and chat, ensuring production robustness and collaboration with product teams.
4-8 years of experience in software engineering.
Strong proficiency in Java (Spring Boot) or Python with solid understanding of data structures, algorithms, and system design.
Experience building scalable backend systems, REST APIs, microservices, and familiarity with databases (PostgreSQL, MySQL, MongoDB).
Familiarity with cloud platforms like AWS, GCP, or Azure.
Experienced backend engineer with a product mindset who can translate product requirements into technical solutions and drive features end-to-end.
Comfortable working on scalable distributed systems and collaborating cross-functionally with product and design teams.
Has some exposure or willingness to work on practical AI integrations (e.g., LLM APIs) to enhance product capabilities, though heavy AI research is not expected.