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Fog Inspector Jobs in California (NOW HIRING)

Must have experience driving in rain, ice, and fog conditions. License/Certification: * Must have a ... Responsibilities and Duties Inspect the load before leaving the shop. Spot check for quantities ...

Valet Attendant - Part Time

Los Angeles, CA · On-site

$15.50 - $20.50/hr

Inspect and check vehicles for damage * Responsible for keeping track of keys and putting them in ... wind, cold, fog, etc.) * Specific vision abilities required by the job include close vision ...

... FOG Essentials, Supreme, BAPE, Denim Tears etc. As a Junior Authentication Specialist, you must ... inspect SKU and size, ensuring that each buyer has the retail experience they've come to expect. In ...

Showing results 21-40

Fog Inspector information

What are the key skills and qualifications needed to thrive as a fog inspector?

To thrive as a Fog Inspector, you need a solid understanding of environmental science, meteorological principles, and inspection protocols, usually supported by relevant certifications or technical training. Familiarity with meteorological instruments, data logging tools, and regulatory compliance software is often required. Attention to detail, problem-solving, and strong observational skills are critical soft skills in this position. These competencies ensure accurate monitoring of fog conditions, compliance with safety regulations, and the effective communication of findings to relevant stakeholders.

What are some common challenges faced by fog inspectors during fieldwork, and how can they be addressed?

Fog Inspectors often work in varying weather conditions and may face reduced visibility, slippery surfaces, and safety risks while performing inspections. To address these challenges, it's essential to use proper safety gear such as reflective clothing and non-slip boots, and to follow strict safety protocols. Effective communication with team members and local authorities is crucial for coordinating inspections and responding to any emergencies. Regular training on updated inspection techniques and safety measures also helps maintain high performance and reduces risk during fieldwork.

What is the difference between Fog Inspector vs Weather Observer?

AspectFog InspectorWeather Observer
CertificationsMay require specialized training in fog detection and safety protocolsTypically requires meteorological certifications or training
Work EnvironmentPrimarily outdoor, focusing on fog-prone areasOutdoor and indoor settings, monitoring various weather conditions
Industry UsageUsed mainly in transportation, aviation, and maritime sectorsUsed across meteorology, aviation, agriculture, and research

While both roles involve weather-related monitoring, Fog Inspectors focus specifically on fog conditions to ensure safety in transportation and maritime sectors. Weather Observers have a broader scope, monitoring multiple weather phenomena for various industries. The roles often overlap in certifications and outdoor work environments, but their primary focus and application differ.

What is a fog inspector?

Fog Inspectors are professionals responsible for monitoring and assessing fog conditions, especially in areas where fog can impact transportation safety, such as airports, highways, and shipping lanes. They use specialized equipment to measure visibility, collect weather data, and report hazardous conditions to relevant authorities. Their work helps ensure safe travel by providing timely information and recommending safety precautions when dense fog occurs.

What cities in California are hiring for Fog Inspector jobs?

Cities in California with the most Fog Inspector job openings:

Infographic showing various Fog Inspector job openings in California as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Temporary. Highlights an 100% In-person job distribution.

Software Engineer, Cloud Infrastructure

Fluidstack

San Francisco, CA • On-site

$203K - $241K/yr

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Fluidstack is a company focused on delivering scalable compute infrastructure for AI. They are seeking a Software Engineer in Cloud Infrastructure to own the observability platform, build data pipelines, and define the API surface for their production infrastructure.
Responsibilities:
• Own the observability platform. Build and operate the data pipelines, decoration and correlation engine, and healthcheck framework that make the fleet legible — from site down to device and link. No other team should need to scrape production directly to answer a question.
• Define and build the API surface for infrastructure. Design the contracts between production infrastructure and every tool that touches it. All other teams at Fluidstack use your tooling to manage and operate our hyperscale fleet.
• Build the production control plane. Unified machine management, actual state inspection, distributed command execution — and the Kubernetes-based infrastructure that underpins it all.
• Own fleet state as source of truth. SLOs, site lifecycle state, and integration with internal infrastructure management and customer-facing operations platforms. What the system says about itself should match reality, and you're accountable when it doesn't.
• Land new hardware into the platform cleanly. ZTP, DHCP, DNS, artifacts — every new XPU generation and site integration goes through IaaS before production.
Qualifications:
Required:
• You treat toil as a bug. If something requires a human to do it twice, you build the thing that makes it not require a human.
• You design APIs that age well. You've felt the pain of a leaky abstraction at scale and you don't repeat it.
• You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.
• You learn at a steep slope. You reach real competence in an unfamiliar domain fast. We value this over existing expertise.
• You carry a pager without flinching. You run the incident, write the postmortem, fix the systemic cause, and move on.
• You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.
• You've shipped production services that other teams depend on at scale, and you're comfortable in any language using AI coding tools.
Preferred:
• Bonus: Distributed systems and data pipeline engineering.
• Time-series observability stacks (Prometheus, Thanos, VictoriaMetrics).
• API design and versioning at scale.
• Workflow and orchestration engines (Temporal, Cadence).
• BMC/Redfish or hardware telemetry.
• Go, Python, and Postgres.
Company:
Fluidstack provides cloud infrastructure for AI with GPU clusters, orchestration, and monitoring for intensive workloads. Founded in 2017, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.