What are the responsibilities and job description for the Java Google Cloud Platform Lead(Vertex AI) position at ADDSOURCE?
Role: Java Google Cloud Platform Lead (Vertex AI)
Location: Denver, CO (Hybrid)
The Technical Lead Development role is responsible for driving the overall technical strategy of a development lane, defining engineering standards, and ensuring multiple development teams deliver high-quality clinical system applications on time.
This role partners closely with product owners, architects, project leadership, QA, configuration management, and engineering teams to deliver high-quality software in an Agile environment.
Core Responsibilities
Define engineering standards, create architectural project blueprints, and ensure organizational best practices are followed across development teams
Design, develop, implement, and support clinical system applications.
Need to have hands on coding experience
Mentor and guide engineer team leads, providing high-level technical oversight and strategy
Lead complex external integrations with other technical teams and third-party systems
Review requirements and data models, then translate them into reliable applications and scalable technical architecture
Collaborate with other engineers on an Agile team to deliver code on an ongoing basis
Conduct design and code reviews with the extended team to ensure solutions meet established standards
Track, troubleshoot, and resolve software defects
Complete additional tasks necessary to support project deliverables and ongoing application support
Agile Delivery and Project Execution
Work closely with business product owners on an Agile team to understand requirements, provide feedback, and request clarification as needed
Partner with the Team Lead, Project Manager, and Architect on planning, estimation, documentation, and status reporting
Adhere to project schedules and proactively resolve or escalate issues to management
Adapt to and contribute in a fast-paced Agile application development environment Understand and apply SAFe Agile and Continuous Discovery Delivery practices Quality Engineering and Release Support
Support test execution, including system-level and integration testing
Work with QA and configuration management teams on code builds, releases, test case design, and defect resolution
Apply unit testing frameworks and software debugging practices to improve product quality
Promote software craftsmanship and Agile best practices across the development lifecycle
Technical Skills and Experience Cloud and Platform Engineering
Experience with Google ADK, Google Cloud Platform cloud services, including Google Kubernetes Engine, Cloud SQL for PostgreSQL, Cloud Storage, Cloud Pub/Sub, Cloud Datastore, Cloud Memorystore, and Cloud Firestore
Development experience with Java and Spring Boot (Angular experience is a plus
Hands-on experience with platform and infrastructure tools such as Terraform and Helm
Strong hands-on DevOps experience, including CI/CD pipeline development, build and release automation, deployment practices, operational support for cloud based applications, and advancing Google Cloud Platform maturity across different supported applications
Familiarity with microservice architecture principles; system architecture experience is a plus Application Development
Development experience with Java and Spring Boot (Angular experience is a plus)
Professional development experience with SQL and NoSQL databases
Object-oriented design and development experience
Understanding of software design patterns
Ability to remain hands-on with coding while also providing technical guidance to development teams AI and Automation
AI experience, including knowledge of building AI agents using Gemini or Vertex AI
Educational Qualifications: -
- Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
- Technical certification in multiple technologies is desirable.