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Software Engineer Infrastructure, Cloud Compute Infrastructure

Job in Milwaukee, Milwaukee County, Wisconsin, 53244, USA
Listing for: Google
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 25 USD Hourly USD 25.00 HOUR
Job Description & How to Apply Below
Position: Staff Software Engineer Infrastructure, Cloud Compute Infrastructure Google Job

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.
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