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.

Senior Embedded Systems Engineer

Company: SeeScan Inc.

Location: San Diego, CA

Posted Oct 06, 2025

You will work in the domain where software meets hardware, from troubleshooting hardware during board bring-up to writing device drivers.

DevOps/Cloud Engineer

Company: Tentek, Inc.

Location: San Diego, CA

Posted Oct 06, 2025

Lead incident response and post-mortem processes, driving continuous improvement. Mentor Senior DevOps Engineers and DevOps II on infrastructure design and…

Journeyman Electrician

Company: A.L.I.

Location: San Jose, CA

Posted Oct 06, 2025

You must have a presentable vehicle, own your own tools, have a clean driving record, and be a hard worker with a positive attitude that can get the job done in…

Customer Service Assistant (Games)

Company: HB Leisure

Location: San Antonio, TX

Posted Oct 06, 2025

Performs all aspects of game sales including, but not limited to greeting guests, rule explanation, upselling, encouraging the guests while they play, asking…

3D/AR/VR Engineer

Company: Speridian Technologies

Location: Los Altos, CA

Posted Oct 06, 2025

Excellent communication skills and ability to convey technical concepts to non-technical stakeholders. Bachelor’s or Master’s degree in Computer Science,…

Full Stack Developer (React /Java/Go/Python)

Company: Tentek, Inc.

Location: San Diego, CA

Posted Oct 06, 2025

You will contribute to both front-end and back-end systems, playing a hands-on role in architecture, implementation, and technical leadership.

Graphic and Website Designer

Company: AMAX

Location: Fremont, CA

Posted Oct 06, 2025

Proficiency in design tools such as Adobe Creative Suite (Photoshop, Illustrator, InDesign, XD) or equivalent. Familiarity with UX/UI design.

Multifunctional Sales Associate

Company: WTC for Mango US

Location: Los Angeles, CA

Posted Oct 06, 2025

While working at the cash desk, Multifunctional Sales Associates are expected to process all register transactions in a smooth, efficient, and accurate way to…

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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