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Medium: strong employer and metro increase applicant density, but senior 12+ requirement narrows the pool.
Low: Python, microservices, cloud, and Kubernetes skills are highly transferable across industries.
High: explicit 12+ years requirement and broad mandatory tech, cloud, and leadership skills.
Architect and develop scalable, high-performance backend web applications using Python within a cloud-native AI/ML big-data analytics context.
Lead and mentor a team of developers, conduct code reviews, and maintain engineering standards.
Collaborate cross-functionally with backend developers, UX/UI designers, and product managers to deliver integrated solutions.
Minimum 12 years of professional experience in backend development with strong expertise in Python and frameworks like Django, Flask, FastAPI.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field from accredited institutions.
Hands-on experience with Microservices architecture, RESTful APIs, asynchronous programming, containerization (Docker, Kubernetes), cloud platforms (AWS/Azure/GCP), and DevOps practices including CI/CD pipelines.
Experience with Data Scrubbing and ML libraries (Pandas, NumPy), databases (MySQL, NoSQL), security best practices, and unit testing frameworks.
Proven ability to lead development teams in building cloud-native, AI/ML big-data analytics software products at scale.
Strong backend engineering skills with deep Python expertise and familiarity with microservices and cloud infrastructure.
Experience driving collaboration across cross-functional teams and integrating emerging technologies for continuous product improvement.