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Yaml Jobs (NOW HIRING)

Experience creating and managing YAML based Azure Dev Ops pipelines or equivalent * Working Knowledge of Docker containers, Code repositories (GIT), Deploying secure code * Azure DevOps Create build ...

Write and maintain YAML files to trigger automated tests within Azure DevOps build/release pipelines . * Conduct backend data validation using SQL. * Perform API testing for RESTful services.

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Yaml information

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$12

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How much do yaml jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for yaml in the United States is $19.35, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $21.15 per hour, depending on experience, location, and employer.

What is stages vs jobs vs steps?

In a YAML-based CI/CD pipeline, 'stages' define broad phases of the process, such as build or deploy, and run sequentially or in parallel. 'Jobs' are sets of steps within a stage that execute tasks on specific environments or agents, while 'steps' are individual commands or actions performed within a job. Understanding these concepts helps in structuring efficient and organized automation workflows.

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

To thrive as a YAML Developer, you need a strong understanding of data serialization, schema design, and configuration management, often supported by experience in DevOps or software development roles. Familiarity with YAML syntax, related tools like Docker Compose, Kubernetes manifests, and CI/CD systems is crucial. Attention to detail, problem-solving, and effective communication are essential soft skills for managing complex configurations and collaborating with teams. These skills ensure accurate, efficient configuration management and smooth deployment of infrastructure and applications.

What is a YAML job?

A YAML job typically refers to a job definition written in YAML (Yet Another Markup Language) format, commonly used in CI/CD pipelines, Kubernetes deployments, and configuration management. YAML jobs define tasks, workflows, or automation scripts in a human-readable format that integrates with tools like GitHub Actions, Azure Pipelines, and GitLab CI/CD. These jobs help automate processes such as building, testing, and deploying applications efficiently.

What are the common challenges faced by professionals who work extensively with YAML in configuration management roles?

Professionals working with YAML in configuration management often face challenges related to syntax sensitivity, especially with indentation and formatting, which can lead to configuration errors. Additionally, managing large or complex YAML files can become unwieldy, making it important to implement best practices such as modularization and documentation. Collaboration with developers, DevOps engineers, and IT teams is frequent, requiring clear communication and version control to avoid conflicts and ensure consistency across environments.

Is YAML used in DevOps?

YAML is widely used in DevOps roles for configuration management, automation, and deployment processes. Tools like Kubernetes, Ansible, and Docker utilize YAML files to define infrastructure and workflows, making it a key skill for DevOps practitioners.

What is a job in Azure pipeline?

A job in an Azure pipeline is a set of steps that run sequentially or in parallel to perform tasks such as building, testing, or deploying applications. Jobs are defined within a pipeline and can run on different agents or environments, enabling automation and continuous integration/continuous deployment (CI/CD) workflows. Skills in YAML, scripting, and Azure DevOps are typically required for managing and configuring jobs effectively.

What are YAML developers?

YAML developers are professionals who specialize in working with YAML (YAML Ain't Markup Language), a human-readable data serialization standard often used for configuration files and data exchange between languages. Their main tasks include creating, maintaining, and troubleshooting YAML files to ensure proper configuration and integration with various software tools and platforms. YAML developers often work closely with DevOps teams, software engineers, and system administrators to support workflows in areas like CI/CD pipelines, infrastructure-as-code, and application deployment.

What is a deployment job?

A deployment job is a role responsible for releasing software or updates into a live environment, often involving tasks like configuring servers, automating deployment processes, and ensuring system stability. It typically requires knowledge of deployment tools, scripting, and continuous integration/continuous deployment (CI/CD) pipelines.

What is the difference between Yaml vs YAML Developer?

AspectYamlYAML Developer
CredentialsBasic knowledge of YAML syntaxProficiency in YAML, scripting, and related tools
Work EnvironmentUsed in configuration files, data serializationDevelops, maintains YAML files, integrates with systems
Industry UsageDevOps, automation, software configurationSoftware development, automation, DevOps projects

Yaml refers to the syntax and format used for data serialization, while YAML Developer is a role focused on creating and managing YAML files within projects. The YAML Developer requires deeper technical skills and experience in scripting and automation, whereas Yaml knowledge is foundational for many roles.

More about Yaml jobs
What cities are hiring for Yaml jobs? Cities with the most Yaml job openings:
What are the most commonly searched types of Yaml jobs? The most popular types of Yaml jobs are:
What states have the most Yaml jobs? States with the most job openings for Yaml jobs include:
Infographic showing various Yaml job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $40,251 per year, or $19.4 per hour.

Mid-level Software Development Engineer/ Automation Engineer - Imaging & Provisioning

Yantran LLC

Bellevue, WA

Other

Posted 24 days ago


Job description

Position Title: Mid-level Software Development Engineer/ Automation Engineer - Imaging
Provisioning
Location: Redmond, WA (Day1 Onsite)
Job Description:
Role Summary:
Looking for two highly motivated Software Development/ Automation Engineers to join the Surface Imaging
Provisioning (IMPACT) team.
These roles will focus on device OS image automation, provisioning pipelines, and engineering productivity, working closely with Build, Test, Factory, and Experience Validation teams.
The engineers will contribute to end-to-end automation of OS imaging, provisioning workflows, and validation, ensuring factory-ready, secure, and high-quality Surface device releases.
Key Responsibilities:
Design, develop, and maintain automation solutions for OS Imaging and Device Provisioning pipelines.
Build and enhance CI/CD workflows using Azure DevOps, YAML pipelines, and Azure services.
Develop PowerShell, C#, and/or Python-based tooling to automate:
Image creation, validation, and release readiness
Provisioning package generation and deployment
Device-level test execution and reporting
Collaborate with Build Engineering, DVSE, Factory, and Experience Validation teams to enable end-to-end device automation.
Improve pipeline reliability, observability, and performance across imaging and provisioning workflows.
Support NPI (New Product Introduction) milestones by ensuring imaging and provisioning readiness.
Debug and resolve pipeline, automation, and device-level issues across engineering and factory environments.
Follow secure development practices and contribute to SFI / Service 360 compliance.
Actively participate in code reviews, sprint planning, and operational reviews.
Required Technical Skills:
Strong hands-on experience with one or more of the following:
C#
PowerShell
Python
YAML
Azure Stack
Experience building and maintaining Azure DevOps CI/CD pipelines.
Strong knowledge of YAML-based pipeline definitions.
Experience working with Azure Stack / Azure services in engineering or automation scenarios.
Solid understanding of source control (Git) and collaborative development workflows.
Experience debugging automation failures, pipeline issues, and system-level problems.
Preferred / Nice-to-Have Skills:
Device automation experience (highly preferred), including:
OS imaging
Device provisioning
Factory or lab automation
Familiarity with Windows OS imaging concepts, provisioning packages, and deployment workflows.
Experience with test automation frameworks and validation pipelines.
Exposure to Surface, OEM, or hardware software integrated environments.
Knowledge of security, compliance, and release governance in large-scale engineering systems.
"*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities.
Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at
."