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Remote Stoll M1 Plus Programmer Jobs in California

Surefront

We are looking for an experienced Lead Front-End Engineer to join our growing team at Surefront ... Previous startup experience a plus * Fluent in English * CA permanent resident Compensation

PM2CM

Cost Engineer Hybrid-Remote

San Bernardino, CA · On-site +1

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... Prior work experience in Cost Controls, Budgeting, Cost Forecasting will be a plus but not a ...

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Remote Stoll M1 Plus Programmer information

What is a Remote Stoll M1 Plus Programmer?

A Remote Stoll M1 Plus Programmer is a specialist who operates and programs Stoll M1 Plus knitting software remotely to create or modify patterns for computerized flat knitting machines. They work with designers, manufacturers, and production teams to translate design concepts into machine-readable instructions, ensuring efficient and high-quality knitwear production. These professionals often collaborate using digital communication tools and are skilled in both the technical and creative aspects of knitwear programming. Remote programmers enable companies to access specialized expertise without geographical limitations.

What are the key skills and qualifications needed to thrive as a Remote Stoll M1 Plus Programmer?

A Remote Stoll M1 Plus Programmer needs expertise in knitwear design, pattern creation, and advanced knowledge of Stoll M1 Plus software, often supported by a background in textile engineering or fashion design. Familiarity with CAD software, digital knitting machines, and technical file formats is essential, and certifications in knitwear technology or Stoll systems can be advantageous. Strong attention to detail, problem-solving abilities, and effective remote communication skills help ensure clear collaboration and error-free programming. These competencies are crucial for producing high-quality knitwear, meeting production deadlines, and maintaining seamless workflow in a remote setting.

What are the typical challenges faced by a Remote Stoll M1 Plus Programmer and how can they be addressed?

A Remote Stoll M1 Plus Programmer often encounters challenges related to communication and collaboration with on-site teams, especially when troubleshooting machine or pattern issues. Clear documentation, regular virtual meetings, and using screen-sharing tools can help bridge the distance and ensure efficient workflow. Additionally, managing version control for pattern files and staying updated with the latest software features are crucial for productivity. Proactively seeking feedback and participating in online forums can further support professional growth and problem-solving in this remote setting.

What are the most commonly searched types of Stoll M1 Plus Programmer jobs in California?

The most popular types of Stoll M1 Plus Programmer jobs in California are:

What are popular job titles related to Remote Stoll M1 Plus Programmer jobs in California?

For Remote Stoll M1 Plus Programmer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Stoll M1 Plus Programmer jobs in California look for?

The top searched job categories for Remote Stoll M1 Plus Programmer jobs in California are:

What cities in California are hiring for Remote Stoll M1 Plus Programmer jobs?

Cities in California with the most Remote Stoll M1 Plus Programmer job openings:

Remote Stoll M1 Plus Programmer jobs near you
Infographic showing various Remote Stoll M1 Plus Programmer job openings in California as of August 2026, with employment types broken down into 75% Full Time, 14% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Developer & Infrastructure Expert - Remote

Los Angeles, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$30 - $80/hr

Full-time

Posted 2 days ago

New

Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.