Back
Senior technical leadership with AI-platform specialization lowers competition, but Bangalore metro presence increases candidate interest.
Highly domain-specific platform and AI engineering skills limit cross-industry transferability.
Explicit 9–15 years plus specific stack and leadership requirements create strict screening filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and deliver scalable cloud-native AI platform applications and capabilities.
Lead technical design, architecture, and engineering best practices across product teams.
Mentor engineering teams and drive engineering strategy while collaborating with product, AI/ML, and architecture teams.
9 to 15 years of software engineering experience with strong technical leadership.
Hands-on expertise in Python, Django, React, TypeScript, REST APIs, Microservices, and AWS.
Experience with Docker, Kubernetes/ECS, PostgreSQL, Redis, OpenSearch, and CI/CD pipelines.
Strong understanding of distributed systems, cloud-native architecture, and asynchronous messaging.
Experienced in building AI-powered platforms and cloud-native distributed systems with Python and React stack.
Able to lead technical strategy and mentor engineers within cross-functional teams.
Familiar with DevOps practices, Infrastructure as Code (Terraform), and exposure to Generative AI, LLMs, or Agentic AI platforms.