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Generalist software title, metro locations, and broad skillset increase candidate competition.
Core software engineering skills are transferable, though AI/prompt expertise raises some domain specificity.
Many mandatory technologies (AI, cloud, React, DevOps) make shortlisting stringent.
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Engineer, maintain, and enhance high performance, secure, and robust software solutions within a feature team.
Own the full software development life cycle: from requirements analysis, design, coding, testing, deployment to operations and maintenance.
Collaborate cross-functionally with engineers, architects, and business analysts to optimize software engineering capabilities and deliver business value.
Experience working with Prompt engineering, Python, React JS, MCP protocol and architecture, Cloud & DevOps, AI workflow frameworks, RAG, and REST API.
Experience in multiple programming languages or low code toolsets.
Familiarity with DevOps and Agile methodologies and toolsets.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable handling complex, analytical, and numerical software problems with emphasis on scalability, automation, optimization, availability, and performance.
Experience within permanent feature teams responsible for full software life cycle ownership.
Technical operating style includes engineering high-quality, business-focused solutions rapidly with strong collaboration across multiple stakeholders.