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Tier-1 brand, metro location, mid-level generalist backend role increases applicant density.
Backend, ML, and cloud skills are broadly transferable across industries despite finance preference.
Explicit 5+ years plus many mandatory cloud, backend, ML and security skills increases screening rigidity.
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Provide technical guidance and direction to business and technical teams, contractors, and vendors.
Develop, review, debug, and deliver secure, high-quality production code with a focus on Python, SQL, Databricks, and Knowledge Graphs in production.
Drive adoption and governance of AI-assisted engineering practices across teams, establish validation standards, and influence product design and technical operations.
5+ years of applied experience with formal software engineering training or certification.
Hands-on experience in Python, SQL, Databricks, Knowledge Graphs in production; proficiency in Python, SQL, Java, and R.
Demonstrated experience leading use of enterprise-authorized AI-assisted software development tools with focus on responsible AI practices.
Proficiency with platforms/technologies such as AWS, Docker, Kubernetes, Databricks, and CI/CD pipelines; strong understanding of SDLC, ADLC, and agile methodologies.
Experienced leader capable of driving AI-assisted software development governance and setting team expectations on AI outputs validation.
Strong background in machine learning techniques, especially NLP, Knowledge Graphs, LLMs, and AI model optimization and deployment on cloud platforms.
Technically versatile engineer comfortable working across programming languages and platform tech stacks while influencing product and engineering practices in a complex enterprise environment.