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Tier‑1 brand, generalist Fullstack title, mid‑level requirement, metro location, and broad cloud+ML skillset.
Requires specific Java Spring, Angular/React, GCP, and ML tooling, making cross-industry transferability limited.
Explicit 5+ years plus mandatory Java/React/GCP/Python/ML and CI/CD requirements.
Develop and maintain full-stack cloud-native applications on Google Cloud Platform using Java (Spring Boot), Angular/React, and microservices architecture.
Design, integrate, and deploy AI/ML models and pipelines, including GenAI and agentic workflows, to address complex business problems within manufacturing digital engineering.
Build comprehensive observability and telemetry across systems ensuring high availability, performance, and rapid incident detection through logging, monitoring, tracing, and alerting.
Bachelor's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience).
5+ years of professional software development experience.
Proficiency with Java (Spring Boot), Angular or React with TypeScript, Python for AI/ML development (TensorFlow, PyTorch, or scikit-learn).
Experience deploying cloud-native applications on Google Cloud Platform with microservices, CI/CD pipelines, and observability tools.
Experienced in full-stack development integrating AI/ML capabilities, especially within cloud-native GCP environments using microservices and managed ML services like Vertex AI.
Skilled in building scalable, reliable, and observable distributed systems with a strong emphasis on software craftsmanship and automated testing (TDD).
Familiar with Agile/XP software development, DevOps practices, and implementing advanced AI features like Generative AI or agentic AI workflows.