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Solidity Remote Jobs in California (NOW HIRING)

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Solidity Remote information

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$28.9K

$141.5K

$201.2K

How much do solidity remote jobs pay per year?

As of Aug 9, 2026, the average yearly pay for solidity remote in California is $141,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,528.00 and $168,917.00 per year, depending on experience, location, and employer.

What does a Solidity Remote do daily?

As a remote Solidity developer, your daily tasks generally include designing, coding, and testing smart contracts, performing code reviews, and staying updated on the latest blockchain protocols. You will frequently participate in team meetings, contribute to project discussions via collaboration tools like Slack or GitHub, and provide support to frontend developers integrating smart contracts with decentralized apps. Effective communication across time zones and strong documentation skills are essential for working efficiently in a remote, collaborative environment. Over time, you may have opportunities to take on greater responsibilities, such as leading contract audits or mentoring new developers, supporting long-term career growth within the blockchain space.

What skills and qualifications are needed for a Solidity Remote?

To thrive as a Solidity Remote developer, you need expertise in Solidity programming, smart contract architecture, and blockchain fundamentals, often supported by a degree in computer science or related experience. Familiarity with tools like Remix, Truffle, Hardhat, and version control systems such as Git, as well as certifications in blockchain or Ethereum development, is highly regarded. Strong self-motivation, problem-solving capabilities, and effective remote communication skills are critical for excelling in distributed teams. These competencies ensure secure, efficient contract development and seamless collaboration in the fast-paced decentralized technology sector.

What is a Solidity Remote?

A Solidity Remote job is a position where a developer works remotely to build and maintain smart contracts using Solidity, the programming language for Ethereum and other blockchain platforms. These roles typically involve writing and testing decentralized applications (dApps), auditing smart contracts for security vulnerabilities, and collaborating with blockchain teams. Remote Solidity developers can work for startups, enterprises, or decentralized autonomous organizations (DAOs) from anywhere in the world.

What are the most commonly searched types of Solidity jobs in California? The most popular types of Solidity jobs in California are:
What are popular job titles related to Solidity Remote jobs in California? For Solidity Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Solidity Remote jobs in California look for? The top searched job categories for Solidity Remote jobs in California are:
What cities in California are hiring for Solidity Remote jobs? Cities in California with the most Solidity Remote job openings:
Solidity Remote jobs near you
Infographic showing various Solidity Remote job openings in California as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 67% Physical, 11% Hybrid, and 22% Remote job distribution, with an average salary of $141,546 per year, or $68.1 per hour.

AI Engineer- Federal Government Remote

United Global Technologies

Menlo Park, CA • Remote

$123K - $169K/yr

Full-time, Contractor

Re-posted 21 days ago

Job description

No subs- No sponsorship

Remote

AI Engineer (Mid–Senior)

United Global Technologies (UGT) | Remote (U.S.), | Full-time

UGT is hiring a mid-to-senior AI Engineer to design, build, and operate governed, production-grade AI capabilities across a multi-cloud environment (AWS Bedrock, Google Gemini for Government, and Microsoft Copilot) for a leading U.S. Department of Energy. You'll own data pipelines and AI control plane that make these capabilities secure, observable, and cost-governed — and mentor a junior engineer. This is a hands-on role at the center of the lab's emerging AI portfolio.

WHAT YOU'LL DO

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Build governed AI/RAG solutions across AWS Bedrock and Google Gemini (GCP for Government), integrating Microsoft Copilot for Microsoft-native datasets where appropriate.

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Operate the AI control plane (LightLLM) as the central hub for model access, monitoring, cost allocation, and governance, and extend it to additional model paths.

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Architect scalable data pipelines — aggregation, parsing, chunking, and assembly of source content into work packages that feed RAG and other AI systems.

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Advance the lab's AI work-planning and control system: ingest Environment, Safety & Health (ES&H) manuals, generate hazard identifications, orchestrate SME approval workflows, and produce formalized work packages.

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Enforce data governance: handle CUI/SPI appropriately and ensure AI activity logs aggregate into the enterprise SIEM.

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Own CI/CD and infrastructure-as-code for AI workloads using GitHub Actions and Terraform.

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Define usage policy for when teams access AI through the control plane vs. directly via platform services (e.g., Vertex AI).

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Mentor a junior AI engineer and help establish engineering conventions and onboarding standards.

WHAT WE'RE LOOKING FOR (REQUIRED)

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5+ years of professional software / AI engineering experience, with a strong Python foundation.

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Hands-on experience building LLM / RAG applications — retrieval, chunking strategies, prompt orchestration, and evaluation.

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Working knowledge of at least one major cloud AI platform: AWS Bedrock and/or Google Vertex AI / Gemini.

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Infrastructure-as-code (Terraform) and CI/CD (GitHub Actions or equivalent).

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Practical understanding of security and data governance, including handling of sensitive or controlled data.

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U.S. citizenship or permanent residency (supports a federal / DOE environment).

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Ability to provide consistent support during Pacific Time core business hours.

NICE TO HAVE (PREFERRED)

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Experience in a DOE, national laboratory, FedRAMP, or other regulated, compliance-driven environment.

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Familiarity with AI gateways / control planes such as LightLLM (or LiteLLM-style proxies) and multi-model governance.

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Experience using Microsoft Copilot for enterprise RAG use cases.

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Experience integrating application and AI logging into a SIEM.

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Comfort transforming unstructured documentation (technical manuals, procedures) into structured, retrievable knowledge.

EMPLOYMENT & ELIGIBILITY

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Full-time, salaried UGT employee placed on a long-term, dedicated client assignment (this is not a short-term or contract-to-hire role).

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Remote within the U.S.; occasional ad hoc onsite in the San Francisco Bay Area is helpful but not required.

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Must reliably support Pacific Time core business hours.

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U.S. citizenship or permanent residency required; works with CUI/SPI in a DOE environment (no classified or ITAR work).

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Government-furnished equipment provided for the engagement.

ABOUT UGT

United Global Technologies, Inc. (UGT) is a Charlotte, NC–based IT solutions firm serving public-sector, federal, and national-laboratory clients. UGT is a six-time Inc. 5000 honoree and holds WOSB, SBE, DBE, and MBE certifications, with long-standing relationships across the U.S. Department of Energy national laboratory system.