More jobs:
Software Engineer Infrastructure, Cloud Compute Infrastructure
Job in
Milwaukee, Milwaukee County, Wisconsin, 53244, USA
Listed on 2026-07-18
Listing for:
Google
Full Time
position Listed on 2026-07-18
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
Job Title
Staff Software Engineer, Cloud Compute Infrastructure
Compensation & LocationSalary: $25/Hr
Company:
Google
Location:
Wisconsin, USA
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.
- 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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