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Remote Google Devops Jobs in Lancaster Mill, SC (NOW HIRING)

Job Title AI/python developer Location Remote Rate $90-100/hr on W2 Must have: any AI tooling ... Google Cloud Platform (GCP) * Terraform * Cloud-native architecture * Distributed systems DevOps & ...

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks ... Microsoft Azure cloud platform * DevOps and/or MLOps practices * Model development, deployment ...

Lead Salesforce Developer

Fort Mill, SC · Remote

$56.75 - $75.25/hr

Remote (EST) Contract W2 Role Summary We are seeking a hands-on Lead Salesforce Developer to drive ... Experience with CI/CD pipelines, DevOps practices, Git, and Salesforce deployment tools.

Lead Salesforce Developer

Rock Hill, SC · Remote

$56.75 - $75.25/hr

Requirement - Lead Salesforce Developer Location- Remote Contract W2 Total to IT Experience must be ... Experience with CI/CD pipelines, DevOps practices, Git, and Salesforce deployment tools.

Lead Substation Engineer (P&C or Physical)

Indian Land, SC · On-site +1

$92K - $117K/yr

A hybrid or in-office work setup is preferred to foster collaboration and mentorship, but remote ... Exposure to operations and project controls experience for purposes of reporting. * Knowledge of ...

Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ... Review data and identify facility operational issues affecting energy consumption, comfort, and/or ...

Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ... Review data and identify facility operational issues affecting energy consumption, comfort, and/or ...

Energy Engineer PE I

Charlotte, NC · On-site +1

$103K - $132K/yr

Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ... Review data and identify facility operational issues affecting energy consumption, comfort, and/or ...

Company Description ProSidian is a Management and Operations Consulting Firm focusing on providing ... ProSidian Seeks an Engineer (Contract Contingent) in Charlotte, NC / Remote to support an ...

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Remote Google Devops information

See Lancaster Mill, SC salary details

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How much do remote google devops jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote google devops in Lancaster Mill, SC is $51.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $59.23 per hour, depending on experience, location, and employer.

What is a remote Google DevOps engineer?

Remote Google DevOps engineers are IT professionals who specialize in managing, automating, and optimizing development and operational processes for software systems using Google Cloud Platform (GCP) and related tools. Working remotely, they collaborate with teams to deploy applications, monitor infrastructure, and ensure system reliability from any location. Their responsibilities often include continuous integration and continuous deployment (CI/CD), configuration management, and cloud resource optimization, all while leveraging Google’s suite of cloud services.

How do remote Google DevOps engineers typically collaborate with cross-functional teams to ensure smooth deployments?

Remote Google DevOps engineers regularly coordinate with developers, QA testers, and product managers using collaboration tools like Google Meet, Slack, and Jira. They participate in daily stand-ups, sprint planning, and release meetings to align on deployment schedules and address any blockers. Effective communication and thorough documentation are essential to keep everyone informed and ensure that changes are deployed reliably in distributed environments. Building strong virtual relationships and proactively addressing issues help foster a cohesive team, even when working remotely.

What are the key skills and qualifications needed to thrive as a remote Google DevOps engineer, and why are they important?

To thrive as a Remote Google DevOps Engineer, you need expertise in cloud infrastructure (especially Google Cloud Platform), CI/CD pipelines, scripting, and automation, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Terraform, Jenkins, and Google Cloud certifications such as Professional DevOps Engineer are typically required. Strong problem-solving skills, collaboration, and effective remote communication are vital soft skills for this position. These competencies ensure seamless deployment, reliable operations, and efficient teamwork in distributed environments.

What is the difference between Remote Google Devops vs Remote AWS Devops?

AspectRemote Google DevopsRemote AWS Devops
Required CertificationsGoogle Cloud certifications (e.g., Professional Cloud DevOps Engineer)AWS certifications (e.g., AWS Certified DevOps Engineer)
Work EnvironmentGoogle Cloud Platform services, Google Cloud toolsAWS services, AWS-specific tools
Industry UsagePrimarily in organizations leveraging Google CloudPrimarily in organizations leveraging AWS
Common Search/ComparisonYesYes

Remote Google Devops and Remote AWS Devops roles share similarities in required skills, such as cloud infrastructure management, automation, and CI/CD pipelines. The main difference lies in the cloud platform used: Google Cloud vs AWS. Certifications and tools are platform-specific, so candidates should focus on the relevant cloud provider for their desired role.

What job categories do people searching Remote Google Devops jobs in Lancaster Mill, SC look for?

The top searched job categories for Remote Google Devops jobs in Lancaster Mill, SC are:

Infographic showing various Remote Google Devops job openings in Lancaster Mill, SC as of June 2026, with employment types broken down into 1% Locum Tenens, 92% Full Time, 1% Part Time, and 6% Contract. Highlights an 35% Physical, 3% Hybrid, and 62% Remote job distribution, with an average salary of $107,382 per year, or $51.6 per hour.

AI/python developer openings

1 point system

Fort Mill, SC • Remote

$90 - $100/hr

Contractor

Posted 18 days ago


Job description

Hi ,
I hope you're doing well.

I'm reaching out regarding an exciting opportunity that I believe aligns well with your background and skill set.

To move forward, could you please provide the following details along with latest copy of resume:

Work Authorization and Expiry (If any)

LinkedIn Profile URL

Current Location with Zip code

Pay Expectation on W2 (hourly)

Complete JD:

Job Title

AI/python developer

Location

Remote

Rate

$90-100/hr on W2

Must have: any AI tooling, front end (either vue.js or react, or angular), python, Infrastructure as code (IAC) with Terraform, cloud experience

Position Summary

The AI Developer IV is a principal-level expert responsible for defining and owning enterprise-wide AI technical architecture while remaining hands-on in writing production code. This role provides organizational leadership for AI initiatives, leads highly complex and high-impact AI transformations, and serves as a trusted technical advisor to executive leadership.

The successful candidate will establish AI governance frameworks, influence long-term technology strategy, mentor senior engineering talent, and guide the adoption of emerging AI technologies across the organization. This position plays a critical role in advancing an AI-first engineering culture and driving innovation through modern software development practices.


Key Responsibilities

  • Define and lead the organization's enterprise AI architecture strategy.
  • Design, build, and deploy scalable AI-powered applications and distributed systems.
  • Provide technical leadership for large-scale AI transformation initiatives.
  • Develop production-quality software and remain hands-on with coding and solution implementation.
  • Partner with engineering, product management, research scientists, and business stakeholders to deliver strategic objectives.
  • Establish AI governance, best practices, security standards, and ethical AI frameworks.
  • Evaluate emerging AI technologies and recommend strategic investments.
  • Mentor senior engineers and cultivate future technical leaders.
  • Drive adoption of AI-assisted development tools and modern engineering practices.
  • Guide teams through architectural decisions involving cloud platforms, AI services, and data ecosystems.
  • Lead technical design reviews and influence enterprise-wide engineering standards.
  • Support multiple project teams operating in quarterly delivery cycles.

Team Environment

  • Cross-functional teams consisting of:
    • Software Engineers
    • Research Scientists
    • Product Managers
    • AI/ML Engineers
  • Typical project teams range from 1–5 engineers
  • Agile delivery model with quarterly planning and execution cycles
  • Strong focus on AI-first software engineering practices
  • Active use of AI-assisted development tooling

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 15+ years of software engineering experience
  • Extensive experience designing and implementing enterprise-scale AI solutions
  • Expert-level Python development experience
  • Proven experience building scalable distributed systems
  • Strong understanding of AI/ML technologies and modern software architecture
  • Experience designing cloud-native applications within AWS and/or GCP environments
  • Strong expertise in infrastructure automation and Infrastructure as Code (Terraform)
  • Experience leading large technical programs and influencing organizational strategy
  • Excellent communication and stakeholder management skills

Required Technical Skills

Backend Development

  • Python (required)
  • Strong backend engineering experience
  • API and microservices design

Frontend Development

  • Vue.js (preferred)
  • React or Angular acceptable

Cloud & Infrastructure

  • AWS and/or Google Cloud Platform (GCP)
  • Terraform
  • Cloud-native architecture
  • Distributed systems

DevOps & Development Tools

  • GitLab
  • CI/CD pipelines
  • Infrastructure automation

Artificial Intelligence

  • Generative AI technologies
  • AI application architecture
  • AI-assisted development tools
  • Experience with tools such as:
    • Claude
    • Codex
    • GitHub Copilot
    • Similar AI engineering platforms