8 Hour Shift Jobs in San Francisco, CA

714,540 open positions · Updated daily

Looking for 8 Hour Shift jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect 8 Hour Shift position in the San Francisco, CA area.

Part-Time Beauty Advisor - Sephora

Company: Kohl's

Location: San Antonio, TX

Posted Feb 08, 2025

Store Associate

Company: CVS Health

Location: Napa, CA

Posted Feb 08, 2025

Shift Supervisor Trainee

Company: CVS Health

Location: Los Angeles, CA

Posted Feb 08, 2025

Summer Student - Operations

Company: CRH

Location: Dinuba, CA

Posted Feb 08, 2025

Customer Service Representative

Company: CVS Health

Location: San Antonio, TX

Posted Feb 08, 2025

Travel Retail Sales Merchandiser

Company:

Location: San Jose, CA

Posted Feb 08, 2025

Frequently Asked Questions

What are typical hourly rates for 8‑hour shift tech roles by seniority?
Junior engineers earn $30–$45/hr, mid‑level $45–$65/hr, senior $65–$90/hr, and lead roles $90–$120/hr. Rates adjust for location, stack (AWS, Azure, Kubernetes), and certifications.
What key skills and certifications are most valuable for 8‑hour shift positions?
Master AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD tools (GitHub Actions, Jenkins). Certifications like AWS Certified Solutions Architect, Certified Kubernetes Administrator, and Microsoft Certified: Azure Administrator significantly boost rates.
Can I work 8‑hour shift roles remotely?
Yes—most 8‑hour shift roles are fully remote. Companies require core hours that align with your time zone, use Slack, Zoom, Jira, and Confluence, and expect reliable internet and 24/7 on‑call support if needed.
What career progression paths exist for 8‑hour shift tech professionals?
Start as Junior Engineer, move to Mid, then Senior, Lead Engineer, Technical Architect, Engineering Manager, or Product Owner. Advance by leading projects, contributing to open source, and completing leadership courses.
What industry trends are influencing 8‑hour shift tech jobs?
Serverless, edge computing, AI/ML Ops, low‑code platforms, observability tools (Prometheus, Graf

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