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Tier-1 brand, generic senior software title, and metro location increase applicant competition.
Backend, cloud, and API skills are broadly transferable across industries, so low sensitivity.
Explicit 8+ years and mandatory backend, cloud, and API skills create strict filters.
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Design, develop, and maintain robust APIs and backend services across cloud environments to support mobile and desktop clients with scalable, secure, and high-quality code.
Lead development and deployment of Generative AI solutions using LLMs, RAG, and prompt engineering for improved accuracy and optimization of AI applications with frameworks such as LangChain or Llamaindex.
Collaborate closely with multi-functional engineering teams in an agile environment to deliver production-ready software solutions, including building serverless and microservice architectures on AWS or Azure.
8+ years of professional software engineering experience specializing in Python, Java, or .NET with strong database and ORM framework proficiency.
Bachelor's or master's degree or equivalent in computer science, engineering, information systems, or a numerate discipline.
Experience designing scalable serverless and microservices architectures on cloud platforms (AWS or Azure).
Skilled in designing and integrating RESTful or GraphQL APIs, familiar with DevOps practices including CI/CD and infrastructure as code.
Senior-level backend engineer comfortable leading architecture design and guiding development teams within agile settings.
Proven expertise deploying AI/NLP generative models with knowledge of LLM behavior, mitigation of hallucinations, and performance optimization techniques.
Strong orientation towards building scalable, secure, and operationally efficient cloud-native applications integrating advanced AI and backend capabilities.