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.

Google's success drives the demand for compute capacity. Google invests billions in computers, networks, and data centers, and we develop the supply chain systems empowering this growth. Alphabet Supply Chain Intelligence & Innovation (ASCII) tackles multi-variable problems by building highly reliable, and available systems that optimize cost and availability, while reducing human intervention. Our ultimate objective is to build a closed-loop, self-learning system that encompasses the entire life-cycle of Supply Planning and Fulfillment.

As a Staff Software Engineer, you will solve the most challenging technical problems facing the company. Your work will influence the long-term technical direction of multiple teams and ensure that the engineering organization is positioned for future growth. You will be a key advisor to leadership and an advocate for engineering culture.

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.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Define the technical strategy and direction for a large product area or infrastructure domain.

• Solve cross-functional technical challenges that span multiple organizations.

• Advise the leadership on technical feasibility, risks, and opportunities.

• Foster a culture of technical excellence and innovation through mentorship of the engineers and leads.

• Identify and eliminate systemic technical bottlenecks and architectural weaknesses across the organization.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 8 years of experience programming in Java, Python, or JavaScript.

• 5 years of experience testing, and launching software products.

• 3 years of experience with software design and architecture.

• Experience with cloud-hosted services (e.g., Google Cloud Platform (GCP)).

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• 10 years of experience in software engineering and technical leadership, with a focus on managing large-scale technical solutions and migrations.

• Experience in architecting and implementing integrations between internal systems and external platforms, and data warehousing solutions.

• Experience in applying AI/ML technologies to solve business problems, improving automation, productivity, and customer experience while reducing cost.

• Experience driving technical decisions across a team and growing other technical individual contributors.

• Understanding of microservices architecture, database design, and complex systems integrations.