Challenging Opportunities For You To Learn And Grow Professionally Jobs in San Francisco, CA

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Looking for Challenging Opportunities For You To Learn And Grow Professionally jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Challenging Opportunities For You To Learn And Grow Professionally position in the San Francisco, CA area.

Unarmed Security Officer Immediate Start

Company: Security Reconnaissance Team

Location: San Antonio, TX

Posted Oct 07, 2025

Must have a current driver's license and a clean driving record. Must have a Level II Non-Commissioned (Unarmed) TX PSB security license in hand.

ESL Coordinator/Teacher

Company: Great Hearts Texas

Location: San Antonio, TX

Posted Oct 07, 2025

Through the state mandated Language Proficiency Assessment Committee identification, monitoring and reclassification processes, ESL Coordinators and Teachers…

Executive Chef

Company: Hyatt Centric Mountain View

Location: Mountain View, CA

Posted Oct 06, 2025

Ensure compliance with all policies and procedures that relate to F & B, as well as local, state and federal laws and regulations.

Senior Data Scientist

Company: Marathon Petroleum Company LP

Location: San Antonio, TX

Posted Oct 06, 2025

You will leverage advanced machine learning, statistical techniques, and analytical prowess to solve complex business challenges, collaborating closely with…

CDL A Solo OTR - Dry Van and Reefer

Company: AJG Transport

Location: San Antonio, TX

Posted Oct 06, 2025

With consistent freight lanes and reliable return routes to Texas, we offer a high-mileage opportunity built for drivers who want to run hard and earn well.

Data Analyst

Company: SteerBridge

Location: Miramar, CA

Posted Oct 07, 2025

Providing expertise and translating the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization.

CDL A Dedicated Team Truck Drivers

Company: AJG Transport

Location: San Antonio, TX

Posted Oct 06, 2025

Average annual earnings: $115,000+ per driver. Average annual earnings: $115,000+ per driver. OTR Options: 2, 3, or 4+ weeks out (based on driver preference).

CDL A Long Haul OTR Team Truck Drivers

Company: AJG Transport

Location: San Antonio, TX

Posted Oct 06, 2025

Average annual earnings: $115,000+ per driver. Average annual earnings: $115,000+ per driver. OTR Options: 2, 3, or 4+ weeks out (based on driver preference).

Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

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