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Remote Coding Assistant Jobs in Santa Clara, CA (NOW HIRING)

Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot). Languages ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot). Languages ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Data Infrastructure Architect

Mountain View, CA · On-site +1

$75.25 - $96.75/hr

Familiarity with cloud-native foundations or AI coding assistants. Languages * Advanced Oral ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Software Engineer

Dublin, CA · On-site +1

$89K - $168K/yr

Leverage coding assistants (e.g., GitHub Copilot, Claude Code ) for code generation, review, and ... remote hire at the company's discretion. The candidate's final salary offer will be based on the ...

Participate in coordination meetings with architects and engineers. * Assist in the development of ... Moreover, familiarity with U.S. codes and standards is crucial, as compliance with these ...

Participate in coordination meetings with architects and engineers. * Assist in the development of ... Moreover, familiarity with U.S. codes and standards is crucial, as compliance with these ...

Senior AWS Data Engineer

Mountain View, CA · Remote

$108K - $147K/yr

Familiarity with cloud-native foundations or AI coding assistants. Languages * Advanced Oral ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Senior AWS Data Engineer

Mountain View, CA · On-site +1

$125K - $169K/yr

Familiarity with cloud-native foundations or AI coding assistants. Languages * Advanced Oral ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

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Remote Coding Assistant information

See Santa Clara, CA salary details

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How much do remote coding assistant jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote coding assistant in Santa Clara, CA is $22.60, according to ZipRecruiter salary data. Most workers in this role earn between $13.27 and $31.35 per hour, depending on experience, location, and employer.

What is a remote coding assistant?

A Remote Coding Assistant is a professional who provides coding support and assistance to individuals or teams from a remote location. They may help with debugging code, explaining programming concepts, reviewing code, or assisting with project tasks through online communication tools. Remote Coding Assistants can work in various programming languages and frameworks, supporting both beginners and experienced developers. Their role often includes answering questions, troubleshooting issues, and helping clients achieve their coding goals efficiently.

How does a remote coding assistant typically collaborate with developers and other team members?

Remote Coding Assistants frequently work alongside software developers, project managers, and QA testers through virtual collaboration tools like Slack, GitHub, and video conferencing platforms. They assist developers by resolving coding issues, reviewing code for errors, and providing documentation or research support. Communication is key, so regular check-ins and updates help ensure alignment with project goals and deadlines. Adapting to different time zones and being proactive in communication are common challenges in this remote environment.

What are the key skills and qualifications needed to thrive as a remote coding assistant, and why are they important?

To thrive as a Remote Coding Assistant, you need strong programming knowledge, attention to detail, and experience in relevant coding languages, often supported by a degree in computer science or related fields. Familiarity with code collaboration tools (such as GitHub), remote communication platforms, and project management systems is typically required. Excellent problem-solving, time management, and clear written communication skills help you stand out when assisting developers remotely. These skills and tools are crucial for effectively supporting coding tasks, maintaining workflow efficiency, and ensuring seamless collaboration across distributed teams.

What are popular job titles related to Remote Coding Assistant jobs in Santa Clara, CA?

For Remote Coding Assistant jobs in Santa Clara, CA, the most frequently searched job titles are:

What cities near Santa Clara, CA are hiring for Remote Coding Assistant jobs?

Cities near Santa Clara, CA with the most Remote Coding Assistant job openings:

Infographic showing various Remote Coding Assistant job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $47,018 per year, or $22.6 per hour.

Technical Delivery Manager, Installation & Maintenance

legence

San Jose, CA • Remote

Full-time

Posted 2 days ago

New


Job description

Technical Delivery Manager, Installation & Maintenance

Location: Any Legence location, with remote option 

Employment Type: Full-Time

About the Role

Legence is seeking a Technical Delivery Manager who leads by building. This is a player- coach role in the fullest sense: you'll spend real time in the codebase — designing solutions, writing code, reviewing pull requests, and shipping — while leading a team of engineers and serving as the trusted technical voice for business stakeholders. You keep delivery on track not by administering process, but by understanding the work deeply enough to make the right calls, grow your team, and jump in yourself when it matters.

The ideal candidate can present a solution approach to executives in the morning and implement a tricky integration in the afternoon. Deep, practical experience with AI-driven software development and enterprise systems is a must.

What You'll Do
  • Build and Ship
    • Design and implement solutions hands-on: services, integrations, automation, and prototypes — you write production code, not just review it
    • Own technical decisions on your initiatives: architecture, build-vs-buy, tooling, and integration approach
    • Set the technical bar through code reviews, pairing, and example — engineers should learn from working alongside you
    • Lead AI-driven development in practice: build with AI coding assistants and agentic workflows (e.g., Claude Code, GitHub Copilot), integrate LLM APIs into products and internal tools, and show the team how to get real leverage from these tools safely
    • Ensure solutions integrate cleanly with enterprise systems — ERP/CRM, identity, data platforms, cloud infrastructure — and hold up on security, scalability, and maintainability
  • Lead the Technical Team
    • Lead a team of engineers day to day: set direction, assign ownership, and keep the team focused on the highest-value work
    • Grow engineers through hands-on mentorship — pairing, design discussions, and honest, specific feedback rather than annual-review platitudes
    • Build a strong engineering culture: high standards for code quality and testing, healthy debate on design, and shared ownership of outcomes
    • Shape the team itself— participate in hiring, onboard new engineers, and develop senior engineers into technical leaders
    • Shield the team from noise and churn; absorb ambiguity from stakeholders and hand engineers clear, well-framed problems
    • Foster effective adoption of AI development tools across the team, establishing shared practices for where they accelerate work and where human judgment stays in the loop
  • Engage Stakeholders
    • Act as the primary technical counterpart for business stakeholders and product owners
    • Translate business goals directly into working solutions — shorten the distance between "what we need" and "here it is" with prototypes and demos rather than documents
    • Communicate progress, risks, and trade-offs in plain language; earn trust by showing working software early and often
    • Push back constructively when a request doesn't make technical or business sense, and bring better options
  • Drive Delivery (Lightweight)
    • Keep initiatives moving end to end — scope, sequence, ship — with just enough structure to stay predictable
    • Remove blockers fast, usually by solving the underlying technical problem rather than escalating it
    • Coordinate dependencies across teams and vendors pragmatically; favor working agreements over heavyweight process
    • Use metrics that matter (cycle time, quality, outcomes delivered) instead of ceremony for its own sake

What You Bring

Required Qualifications

  • 7+ years building software, including recent, sustained hands-on coding — this is a technical role first
  • Strong command of at least one modern language (e.g., Python, C#, TypeScript/JavaScript, Java) and comfort picking up others; able to design, build, debug, and ship production systems
  • Demonstrated experience with AI-driven software development: daily use of AI coding assistants, building with LLM APIs, prompt/context engineering, or shipping Al-augmented features and workflows
  • Solid experience with enterprise systems and integration patterns: ERP/CRM platforms, REST/event-driven APIs and middleware, identity and access management, cloud platforms (Azure, AWS, or GCP), and data pipelines
  • Track record of leading delivery of enterprise software initiatives while remaining a hands-on contributor
  • Experience leading and growing an engineering team (or acting as tech lead for one — mentoring, technical direction-setting, and building team culture, without stepping away from the code
  • Excellent communication skills — able to explain technical decisions to executives, negotiate scope with stakeholders, and mentor engineers
  • Working fluency with modern engineering practices: CI/CD, DevOps, testing, and iterative delivery

Preferred Qualifications

  • Experience in the built environment, energy, engineering services, or a related industry
  • Familiarity with MCP, agentic AI systems, or deploying LLM-based features to production
  • Hands-on integration work with platforms such as Microsoft 365, Salesforce, ServiceNow, or similar enterprise ecosystems
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Who You Are

  • A builder at heart who happens to be great with people — you'd rather demo a working prototype than present a status deck
  • A pragmatic technologist who measures success in shipped outcomes, not tickets closed
  • Curious and current on AI capabilities, and disciplined about applying them where they create real value
  • Direct, calm under pressure, and comfortable making decisions with incomplete information
  • A multiplier — you lead engineers by example, invest in their growth, and make the whole team faster and better

Base salary: $155,000-$180,000 per year. This role may be eligible for participation in discretionary bonus plan based on company and individual performance.
Notes: Actual compensation will be based on skills, experience, and work location, and may vary from the posted range. Hiring bonuses (and any guaranteed year-end bonuses) are administered under Company policy and are not earned until all stated conditions are met (e.g., active employment on the payment date). This posting reflects compensation at the time of posting and may be updated.

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