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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Java Google Cloud Platform Lead(Vertex AI) - **Company:** VeeRteq Solutions Inc - **Location:** Denver, CO, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Unit Testing, Software as a Service, Cloud Computing, Cloud Storage, Configuration Management, Data Stores, Software Debugging, Software Design Patterns, DevOps, PostgreSQL, NoSQL, Object-Oriented Software Development, Release Management, Cloud Services, Software Engineering, SQL Databases, Systems Architecture, Test Case, Test Execution Engine, Google Cloud, Spring-boot, AngularJS, Integration Tests, Kubernetes, Infrastructure Automation Frameworks, Terraform, Microservices - **Published:** August 28, 2026 - **Apply:** https://www.dice.com/job-detail/358bbeb8-3ffb-47b2-9238-c3ecf8f47c41 ## About the Role 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. ## Description 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 ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [AIQSpecFlow: Improves and automates your agile process of specification and creation of testcases.](https://www.wearedevelopers.com/videos/100084-aiqspecflow-improves-and-automates-your-agile-process-of-specification-and-creation-of-testcases) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Postgres in the Age of AI (and Devin)](https://www.wearedevelopers.com/videos/1042-postgres-in-the-age-of-ai-and-devin) ## Related Articles - [Got AI ideas but no money? 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