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Tier-1 employer and Bangalore metro increase candidate density despite senior, specialized cloud/AI requirements.
Deep cloud-native, MLOps, and AI platform expertise required, making cross-industry transitions difficult.
Explicit 12+ years and 5+ architecture years plus mandatory cloud and ML tech stack increase filter strictness.
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Lead architecture and technical strategy for scalable, secure, cloud-native, AI/ML-enabled enterprise applications.
Own platform scalability, reliability, cloud operations, and engineering best practices including MLOps and Generative AI implementation.
Provide hands-on technical leadership, conduct architecture reviews, and mentor engineers while partnering with cross-functional stakeholders.
12+ years of software engineering experience with 5+ years in architecture or technical leadership roles.
Expertise in Java, Python, or Go; experience with ReactJS, Angular, NodeJS frameworks.
Strong skills in OOAD, microservices, API design (REST, JSON/XML), databases (PostgreSQL, SQL Server, Oracle, NoSQL).
Strong understanding of AI/ML fundamentals, with hands-on experience in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and Generative AI technologies.
Experienced in leading complex cloud-native and AI/ML infrastructure with strong operational and governance focus.
Proficient in applying advanced engineering practices including TDD, CI/CD, automation, and MLOps/LLMOps.
Able to communicate technical strategies effectively at both technical and executive levels and influence cross-team technical direction.