Java Google Cloud Platform Lead(Vertex AI)

VeeRteq Solutions Inc
Denver, CO, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

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
+18 more
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

Job 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

Requirements

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.

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