Staff Software Engineer Infrastructure, Cloud Compute Infrastructure Google Job

Google; Milwaukee (WI); On-site; USD 71,635,200 - 78,523,200; Full time

Job summary

Google is seeking a Staff Software Engineer for Cloud Compute Infrastructure in Wisconsin. The role focuses on delivering scalable cloud solutions, addressing data‑lifecycle challenges, and supporting local opportunity teams with client collaboration.

You will lead architecture discussions, develop end‑to‑end data pipelines, and showcase Google Cloud capabilities through technical presentations and proofs of concept.

Qualifications

• 6+ years of virtualization or cloud solutions experience in client‑facing roles.
• Experience with large-scale data services and cloud data warehouse modernization.
• Proven ability to deliver technical presentations and demos in a business setting.
• Strong background in data lifecycle, analytics, and big data technologies.

Responsibilities

• Support local opportunity teams in delivering key business projects and collaborate with clients to address data‑lifecycle challenges.
• Analyze requirements, lead full‑stack solution design, and manage client outcomes to meet objectives.
• Lead initiatives such as proofs of concept, data migration support, architecture briefings, security reviews, and coordinating assets.
• Plan and deliver presentations that highlight Google Cloud Platform offerings with diagrams, slides, and data‑driven documents.
• Work with Google Cloud Platform services to demonstrate solutions in client/partner environments.
• Participate in discovery meetings, technical assessments, and on‑the‑spot development as needed.
• Assist clients and colleagues in understanding Google Cloud and providing concrete analytics solutions.

Skills

Cloud experience

Data engineering

Big data tech

Data analytics

Public speaking

Education

Bachelor's degree

Tools

Spark

Cloud Dataflow

Data Fusion

ETL

Data warehouses

Job description

Job Title

Staff Software Engineer, Cloud Compute Infrastructure

Compensation & Location

Salary: $25/Hr
Company: Google
Location: Wisconsin, USA

Education

Bachelor’s Degree

Responsibilities

• Support local opportunity teams in delivering key business projects and collaborate with clients to address data‑lifecycle challenges.
• Analyze business and technical requirements, lead full‑stack solution design, and manage client outcomes to meet consolidated objectives.
• Lead initiatives such as proof‑of‑concepts, data migration support, architecture and design briefings, security reviews, and coordination of supporting assets.
• Plan and deliver presentations that highlight Google Cloud Platform offerings, using diagrams, slides, white‑papers, and data‑driven response documents.
• Work with Google Cloud Platform services to demonstrate and showcase solutions in client/partner environments.
• Participate in discovery meetings, technical assessments, and on‑the‑spot development work as required.
• Assist clients and colleagues in understanding Google Cloud, translating features, supporting architecture, participating in proofs of concept, and providing concrete solutions for analytics and business data portfolios.

Qualifications

• Minimum 6 years of experience with virtualization or cloud solutions in client‑facing or support roles.
• Proficiency with large‑scale data services, cloud data warehouse modernization, data ingestion pipelines, analytics, ETL, and data governance.
• Experience delivering technical presentations and demonstrations in a business environment.
• Strong background in data lifecycle, data engineering, analytics, and big data technologies.
• Experience with planning, execution, optimization, and deployment of scalable and distributed systems.
• Hands‑on experience with data warehousing, data lakes, batch/stream processing, streaming ingestion, Spark, Cloud Dataflow, Data Fusion, data quality, and data integration on cloud platforms.
• Knowledge of cloud architecture, component selection, system procurement, and operating model best practices.
• Bachelor’s degree in Computer Science, Engineering, or a related field.