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Tier-1 employer, metro locations, mid-level generalist backend lead with broad tech requirements increases competition.
Technical backend skills are transferable, but consulting and client-facing manager requirements raise sector specificity.
Explicit 7-year minimum plus mandatory backend, cloud, and data stack makes filters highly strict.
Lead data science and backend development projects, including planning, budgeting, execution, and completion to meet client expectations.
Guide teams to apply advanced analytics, machine learning, and software engineering best practices to solve complex business problems and develop robust data solutions.
Mentor and manage team members, ensuring performance improvement, innovation adoption, and maintaining project standards and alignment through client engagement.
Bachelor's degree from Tier 1 institute.
Minimum 7 years of relevant experience.
Proficiency in English (oral and written).
Strong hands-on skills in Python, REST API design, Kubernetes, PostgreSQL, Git workflows, Docker, and CI/CD pipelines.
Experienced in setting technical direction, code reviews, resolving complex issues, and mentoring engineers in backend development environments.
Familiar with asynchronous APIs and messaging/event-streaming platforms like Kafka or RabbitMQ.
Background or education in Artificial Intelligence, Business Analytics, Computer/Data Engineering, Software Engineering, or similar fields, with interest in agentic development frameworks and innovative technology adoption.