Software Engineer III, Google Cloud
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
Preferred qualifications:
- Bachelor's, Master's, or PhD in Physics, Mathematics, Computer Science or a related quantitative field.
- Familiarity with machine learning, Natural Language Processing (NLP), or generative AI and Large Language Models (LLMs).
- Familiarity with building data processing pipelines with tools like Kafka, Apache Beam (Dataflow) or Spark.
- Familiarity with Google Cloud Platform services (e.g., BigQuery, Google Kubernetes Engine, Pub/Sub).
- Familiarity with time-series data and financial market data feeds.
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.Our mission is to redefine the future of finance by building a new category of AI-powered tools for financial markets. We are creating a transformative platform that functions as an intelligent co-pilot for investors, analysts, and portfolio managers, enabling them to move from questions to informed action in minutes.
By combining Google's large-scale models, advanced AI research, and unique data insights, we are building a system that can reason over the intricate interplay of market data and world events. This team is at the forefront of applied AI, building a product that will empower financial institutions to innovate and establish Google Cloud as a partner in their success.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Design, develop, and deploy core components of the financial AI platform, including the orchestration engine, proprietary analytical tools, and data processing pipelines.
- Build high-performance microservices for financial workflows, such as historical backtesting, Monte Carlo simulations, and risk calculations (e.g., VaR, expected shortfall etc).
- Collaborate closely with Google's research teams to integrate and optimize forecasting and time-series analysis models for financial use cases.
- Develop an intelligent orchestration layer using Google's latest large-scale models to interpret natural language queries and chain together the appropriate sequence of financial tools and data sources.
- Engineer auditable data pipelines for ingesting and transforming a wide array of data, including real-time market feeds, alternative data (like news sentiment), and clients' proprietary datasets.
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