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Tier-1 brand, mid-level generalist full-stack role in metro with broad skills, leading to high competition.
Cloud, full-stack, and ML skills are widely transferable, but manufacturing domain knowledge moderately increases sensitivity.
Explicit 5+ years plus mandatory cloud, full-stack, and ML tech requirements enforce high shortlisting strictness.
Develop and maintain full-stack applications using Angular/React, TypeScript, Spring Boot, and Java focusing on cloud-native microservices on GCP.
Design, integrate, and deploy AI/ML solutions including GenAI models, agentic workflows, and ML pipelines using Python and frameworks like TensorFlow and PyTorch.
Implement and enhance observability and telemetry for system performance and business metrics using tools such as Splunk, Dynatrace, and OpenTelemetry to ensure high availability and rapid issue detection.
Bachelor's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience).
Minimum 5 years of professional software development experience.
Proficiency in Java (Spring Boot, Spring Cloud, Spring Security), front-end frameworks (Angular or React, TypeScript), Python for AI/ML, and Google Cloud Platform services (Cloud Run, App Engine, Cloud Functions, BigQuery, Pub/Sub).
Experience with microservices, REST API design, containerization (Docker, Kubernetes), TDD, CI/CD pipelines (GitHub Actions, Jenkins, Tekton), observability tools (monitoring, logging, tracing), and version control (GitHub). Notice period: Not explicitly mentioned in the JD.
Experienced in building scalable cloud-native applications integrating AI/ML capabilities within enterprise or product teams.
Strong operating familiarity with continuous integration/delivery, test-driven development, and infrastructure automation supporting high availability and reliability.
Comfortable translating complex business challenges into AI/ML and software engineering solutions, with hands-on involvement in both backend and frontend development on GCP ecosystem.