3 days ago
Base Salary
$163k - $236k/yr
Responsibilities
- Architect, build, and deploy scalable enterprise applications and secure external-facing partner portals while coding 50–70% of the time.
- Design web services and synchronous microservices, including REST APIs and FastAPI services, to integrate external contract manufacturing systems with internal data warehouses.
- Create an AI-ready data foundation, semantic serving layer, automated pre-flight quality validation, and feature pipelines for predictive machine learning and downstream AI agents.
- Provide technical direction to a cross-functional engineering pod, establish code quality standards, lead system design reviews, and manage end-to-end application architecture.
- Partner with Hardware Quality Engineers and Supply Chain Managers to translate manufacturing metrics into dimensional data models and automated pipelines.
- Lead requirements gathering, software development, testing, documentation, training, implementation, ongoing support, and maintenance for web applications.
Requirements
- Bachelor’s degree in Computer Science, Management Information Systems, a related technical field, or equivalent practical experience.
- At least 8 years of experience with general-purpose programming languages such as Python, Java, Go, or C++.
- At least 8 years of experience in enterprise application development and data engineering, including data pipelines, databases, and web services.
- At least 5 years of experience leading system architecture, integrating third-party systems, and mentoring engineering teams.
- Preferred: master’s degree in Computer Science, MIS, or a related technical field, or equivalent practical experience.
- Preferred: supply-chain operations, hardware-manufacturing data, FPY, Cycle Time, or MES domain expertise.
- Preferred: experience developing AI/ML-enabled applications, integrating cloud-native AI services, or designing data architectures for machine-learning workloads.
- Preferred: full-stack development, modern web frameworks, and cloud-native data-processing pipeline experience.
- Preferred: secure external data-sharing portals, OAuth2/OIDC-based enterprise identity and access management, and data governance experience.
- Preferred: strong cross-functional communication and the ability to translate complex stakeholder requirements into technical solutions.
Benefits
- US base salary is $163000–$236000, plus a 15% bonus target, equity, and benefits.
- The posting references Google benefits but does not provide additional benefit details.
- The role supports in-house and customer-facing applications and involves close collaboration with cross-functional internal stakeholders.
Categories
Data EngineeringFull Stack
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.