Senior Software Engineer, Cloud Migration Services

1 Month ago • 5-7 Years • Full Stack Development

Job Summary

Job Description

This senior software engineering role focuses on cloud migration services. Responsibilities include providing technical direction across multiple product teams, estimating projects, developing UI-heavy Cloud Console products (primarily using Angular and Java), collaborating with UX designers and API teams, and ensuring scalability and performance. The ideal candidate possesses extensive experience in software development (minimum 5 years), expertise in frontend and backend technologies (Java, Javascript, Angular), and strong leadership skills. The role involves managing project priorities, deadlines, and deliverables while working within Google's MSCA organization, contributing to Google's global infrastructure and services.
Must have:
  • 5+ years software development experience
  • Java, Javascript, Angular expertise
  • UI development skills
  • Experience with large-scale systems
  • Technical leadership abilities
Good to have:
  • Experience as a technical leader
  • Experience with cloud technologies

Job Details

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with one or more general purpose programming languages such as Java, C/C++, Python, Objective C, JavaScript, or Go.
  • Experience in web-based feature development, frontend programming languages Javascript, Typescript, Dart, and frontend framework Angular, AngularJS, AngularDart.
  • Experience with web technologies (e.g., HTML, CSS, Javascript, Angular).

Preferred qualifications:

  • 2 years of experience in software development or engineering.
  • Experience as a technical leader in the design and development of large software systems in a structured engineering environment.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

  • Provide technical direction across multiple product teams.
  • Estimate projects, discuss scope, question requirements, and challenge the designs.
  • Develop UI heavy Cloud Console products mostly in Angular and Java.
  • Work closely with UX Designers, Researchers and Writers, Product Managers, and other Engineers to implement experiences for our Users.
  • Collaborate with API teams on integration and delivery, including scalability and performance.

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