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Remote Puppet Developer Jobs (NOW HIRING)

DevOps Engineer

$54 - $74/hr

Remote Accepts H1B Transfer cases Key Skills: AWS, Azure Exp : Min 6+ Years Responsibilities * Will ... Experience developing solutions using tools such as Jenkins, Ansible, Chef, Puppet, Docker ...

Azure DevOps Engineer

Arlington, VA · Remote

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking Azure DevOps Engineer to ... Configuration management experience using tools such as Ansible, Puppet, and Chef. * Experience ...

Infrastructure Engineer

San Francisco, CA · On-site +1

$126K - $166K/yr

Experience working with a modern configuration management tools such as Chef, Puppet, or Terraform ... Remote work not available TRAVEL Travel not required VISA Candidate visas are not supported ...

$43.75 - $59.75/hr

In-depth experience with the config management tools (Helm, Ansible, Chef and Puppet) * Testing ... Remote apply for this job

$61.75 - $84.75/hr

In-depth experience with the config management tools (Helm, Ansible, Chef and Puppet) * Testing ... Remote

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Remote Puppet Developer information

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$62

How much do remote puppet developer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for remote puppet developer in the United States is $62.50, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $62.50 per hour, depending on experience, location, and employer.

How can I make $100,000 a year working from home?

A remote Puppet Developer can reach a $100,000 annual salary by gaining advanced skills in Puppet automation, obtaining relevant certifications, and building a strong portfolio. High-paying remote roles often require several years of experience, proficiency with related tools like Ansible or Chef, and the ability to work independently in a flexible schedule.

How can I make 2000 a week working from home?

A remote Puppet Developer can earn $2,000 a week by taking on multiple freelance or contract projects, building a strong portfolio, and leveraging platforms like Upwork or Freelancer. Increasing hourly rates through specialized skills, certifications, and efficient project management can also help reach this income level. Consistent work and a reputation for quality are essential for sustained high earnings in remote development roles.

What are some common challenges faced by Remote Puppet Developers when managing large-scale infrastructure?

Remote Puppet Developers often encounter challenges such as ensuring consistent configuration across diverse environments, managing code collaboration with distributed teams, and troubleshooting issues without direct access to on-premises systems. Effective communication, clear documentation, and robust version control practices are crucial for overcoming these obstacles. Leveraging tools like automated testing frameworks and continuous integration pipelines can also help maintain reliability and streamline deployments in a large-scale, remote setting.

How to make $70,000 a year from home?

A remote Puppet Developer can earn $70,000 or more annually by gaining strong skills in Puppet automation, scripting, and configuration management, and by working for companies that offer remote positions or freelance opportunities. Building a solid portfolio, obtaining relevant certifications, and maintaining a reliable home office setup can help increase earning potential. Consistent experience and networking within the DevOps or system administration communities also contribute to higher income levels.

What is a Remote Puppet Developer?

A Remote Puppet Developer is a software professional who specializes in using Puppet, an open-source automation tool, to manage and automate IT infrastructure from a remote location. They design, implement, and maintain configuration management systems, ensuring that servers and applications are deployed consistently and efficiently. Being remote, they collaborate with teams virtually, often working across different time zones to maintain and update infrastructure code, troubleshoot issues, and support DevOps practices.

How to make $1000 a week remote?

A remote Puppet Developer can earn $1000 or more weekly by working on multiple projects, freelancing, or securing high-paying contracts that leverage skills in automation, scripting, and configuration management. Building a strong portfolio, gaining certifications like Puppet Certified Professional, and utilizing freelance platforms can help increase earning potential. Consistent work and specialized expertise are key to reaching this income level remotely.

What are the key skills and qualifications needed to thrive as a Remote Puppet Developer, and why are they important?

To thrive as a Remote Puppet Developer, you need strong expertise in configuration management, scripting (typically in Ruby or Bash), and a deep understanding of systems administration, usually backed by relevant IT or computer science qualifications. Familiarity with Puppet Enterprise, version control systems like Git, and cloud platforms such as AWS or Azure is essential, and certifications like Puppet Certified Practitioner can be advantageous. Excellent problem-solving, self-motivation, and clear remote communication skills help developers collaborate effectively across distributed teams. These skills and qualities are vital for ensuring reliable, scalable infrastructure automation and seamless teamwork in remote environments.
More about Remote Puppet Developer jobs
What cities are hiring for Remote Puppet Developer jobs? Cities with the most Remote Puppet Developer job openings:
What are the most commonly searched types of Puppet Developer jobs? The most popular types of Puppet Developer jobs are:
What states have the most Remote Puppet Developer jobs? States with the most job openings for Remote Puppet Developer jobs include:
Infographic showing various Remote Puppet Developer job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $130,000 per year, or $62.5 per hour.

Openshift / Kubernetes Engineer

Black Canyon Consulting

Bethesda, MD • On-site, Remote

$56.50 - $77.25/hr

Other

Re-posted 12 days ago


Job description

Overview

Black Canyon Consulting (BCC) is seeking Openshift/Kubernetes Engineer to join our systems team to support application developers and operations for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health.. This opportunity is full time at the NCBI in Bethesda, MD and/or remote work.

NCBI is part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH). NCBI advances science and public health by providing free access over the Internet to biomedical literature and genomic data, making it one of the 400 top most-visited sites in the world. NCBI has a diverse staff of smart, talented, and deeply technical people who collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts; and maintains ClinicalTrials.gov, a database of over 400,000 clinical studies around the world.

The Systems & DevOps team is responsible for the efficient operation of infrastructure to run NCBI's many applications.  This includes providing convenient, scalable solutions for development, deployment, and operations across teams, languages, and cloud and on-prem environments.

This is a great opportunity to work on challenging problems in a technical, scientific, and goal-oriented environment. NCBI offers flexible working hours, remote options, on- and off-site training courses, and conference attendance and tuition reimbursement.

Required Skills

NCBI has built a modern DevOps platform based on GitLab and Kubernetes, and is looking for support engineers to assist internal developers with transitioning legacy software development and deployment to the new The key requirement:

  • In-depth knowledge/experience with *building and maintaining* Red Hat OpenShift clusters. Merely "using" OpenShift is insufficient.
  • Experience with Kubernetes
  • Experience with GCP cloud services, including GKE and Anthos
  • Experience with Gitlab and especially Gitlab CI/CD
  • ArgoCD
  • Familiarity with service-mesh technologies: Istio, Linkerd, etc.
  • Provide on-call support to NCBI's internal developers and other staff.

Educational Requirements

  • BS degree in a STEM field, or equivalent experience
  • Customer-focused, team-oriented disposition
  • Good systems debugging skills
  • Comfortable with the Linux environment or UNIX CLI
  • Experience with some programming or scripting language
  • Have experience creating processes, procedures and SOP documentation 
  • General understanding of TCP/IP and related protocols 
  • Initiative to take ownership of tasks and drive them to completion
  • Comfortable dealing with users with varying levels of IT knowledge
  • Eager to learn new technologies
  • Strong communication and soft skills to interface with customers, peers and management
  • Good judgement, sense of integrity, and responsibility

Preferred Experience & Skill sets

  • Kubernetes, OpenShift, Cloud or Linux experience
  • Experience with:
    • Service Reliability Engineering in any capacity
    • Linux systems administration
    • Automated CI servers, especially TeamCity and/or GitLab
    • Automation programming/scripting in any of: bash, Ruby, Python, Go, Java, Scala, Rust, C++, Perl 
    • Automated configuration management, such as Puppet, Ansible, Chef, bcfg2, cfengine, etc.  Puppet is preferred.
    • Version control systems, especially git
    • Service Mesh technologies (e.g., linkerd, Istio)
    • Configuring or using monitoring and alerting technologies (TIGK stack, Grafana, Prometheus, OpsGenie)
    • Confluence, Jira, and Microsoft Office suite
    • GitOps tools, especially ArgoCD
    • Google Anthos
  • Understanding of:
    • Linux internals (system calls, file systems, processes, etc.)
    • Linux network configuration
    • Linux application containerization, especially Docker
    • Attached network storage technologies
    • Cloud computing environment such as AWS, GCP or Azure
    • Automated CI/CD pipelines
    • Distributed systems design principles