Engineer II, Google Cloud

PwC•Tampa, FL

1d•$61,000 - $100,000

About The Position

As an Engineer II, Google Cloud, you will contribute to the design, build, testing, and optimization of cloud-native applications on Google Cloud. You will support work across the full software development lifecycle, from new product ideas to modernization efforts. As an Associate, you will learn through hands-on project tasks, build technical skills in a fast-paced environment, adapt to changing needs, and help deliver quality work while developing your personal brand within PwC’s Advisory practice. The role supports Cloud Engineering and Data & Analytics work, applying software engineering methods, AI-native engineering techniques, and modern development tools to address business needs across technology stacks, programming languages, and cloud services.

Requirements

At least a Bachelor's degree.
At least 1 year of experience.

Nice To Haves

Generative AI, Google Cloud, and software engineering coursework or internship exposure.
Python programming, prompt engineering, and API integration experience.
Familiarity with LLM evaluation, guardrails, and retrieval-augmented generation.
Exposure to cloud-native application development and testing on Google Cloud.
Curiosity, adaptability, and teamwork in fast-paced project settings.
Active listening and clear communication with technical teams.

Responsibilities

Build cloud-native applications on Google Cloud across the software development lifecycle.
Develop generative AI solutions using Google Vertex AI, LLM APIs, and Python.
Design prompt engineering, context engineering, and retrieval-augmented generation workflows.
Test application functionality, model behavior, and system performance across delivery stages.
Apply agent orchestration, LangChain, LangGraph, and vector database methods to solution design.
Support LLM evaluation, guardrails, and LLMOps activities to improve reliability and usability.
Translate requirements into technical components for modernized and greenfield application builds.
Document design decisions, code patterns, and implementation details for client delivery teams.