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Yaml Jobs (NOW HIRING)

RIT Solutions

Full Stack Engineer

Seattle, WA · Hybrid

Net/C# experience Backend API Experience UI development Unit Testing Docker / Kubernetes Experience Azure Development YAML CI/CD Pipelines SQL / DB Experience Desired: ADO GitHub Agile SonarQube ...

ICONMA

Technical Product Owner/Scrum Master

Atlanta, GA · On-site

... YAML, and REST API specs with strong attention to detail. • Lead and facilitate all Scrum ceremonies -- sprint planning, backlog grooming, reviews, and retrospectives. • Collaborate closely with ...

Apex Informatics

Software Engineer

Proficiency in YAML and Azure DevOps Pipelines * Strong scripting skills in PowerShell or Bash * Experience with Google Cloud Platform * Proficiency with Docker * Proven track record of supporting ...

CYNET SYSTEMS

DevOps Architect

Dallas, TX · On-site

$60/hr

Experience with YAML scripting for pipeline automation. * Strong experience with Azure services including App Services, Data Factory, API Management, Storage Accounts, and Key Vaults. * Experience ...

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How much do yaml jobs pay per hour?

As of Jun 22, 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:
What job categories do people searching Yaml jobs look for? The top searched job categories for Yaml jobs are:
Yaml jobs near you
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.

Backend API's and Integrations Software Engineer III

Elsevier

Philadelphia, PA • On-site

$78K - $131K/yr

Full-time

Posted 27 days ago

Job description

Backend API's and Integrations Software Engineer III
Are you a Backend API developer looking to work for a mission driven global organization?
About the role: We're seeking a Software Engineer III with strong backend engineering skills to design, build, and operate distributed integration services and APIs at scale. You will focus on Kong API Management, backend API lifecycle (setup, testing, maintenance), HL7 FHIR, and enterprise integrations, primarily using Java and JavaScript. The ideal candidate has solid network fundamentals, can work comfortably with YAML (for declarative configs and pipelines), and thrives in pragmatic, production-oriented engineering-no frontend development in this space.
About the team, this team is building a generative-AI-powered clinical decision support tool designed specifically to help healthcare professionals quickly find trusted, evidence-based answers at the point of care. It combines a massive curated medical knowledge base with conversational AI so clinicians can ask questions in natural language and get concise, clinically relevant responses backed by real scientific evidence.
Responsibilities
  • Design & Build Distributed Services
    • Implementing resilient, observable microservices and integration components (Java preferred; Node.js/JavaScript where appropriate).
    • Applying patterns for scaling, fault tolerance, idempotency, and backpressure in distributed environments.
  • API Platform & Kong APIM
    • Configuring and managing Kong Gateway (routes, services, plugins, rate limiting, auth, mTLS, logging) via declarative config (YAML) and CI/CD.
    • Implementing gateway policies for security, traffic control, blue/green/canary releases, and zero-downtime migrations.
  • Integrations & Data Facades
    • Building and maintaining a FHIR data facade that maps internal domain data to FHIR resources (read/search/transform), ensuring correctness and performance.
    • Developing backend integrations with downstream systems (REST, gRPC, messaging/queues) and handle schema/contract evolution.
  • API Engineering
    • Owning the API lifecycle: design (OpenAPI), implementation, automated testing (unit/integration/contract), versioning, and SLO-driven operations.
    • Creating and maintaining OpenAI specs, mocks, and validation pipelines.
  • Security & Compliance
    • Implementing OAuth2/OIDC flows, token introspection, and service-to-service auth. Apply secure coding practices and least-privilege network policies; partner with InfoSec on reviews.

Required Qualifications
  • 3+ years of Professional Experience in backend software engineering.
  • Languages: Proficient in Java; working proficiency in JavaScript/Node.js.
  • API & Integrations: RESTful API design, OpenAPI/Swagger, contract testing, backward compatibility/versioning.
  • API Gateway / Kong APIM: Hands-on experience configuring routes, plugins, auth, rate limiting, and declarative YAML configs; CI/CD integration.
  • Distributed Systems: Understanding of microservices fundamentals: statelessness, service discovery, retries/circuit breakers, caching.
  • Networking Fundamentals: TCP/IP, DNS, TLS/mTLS, HTTP/2/HTTP/1.1, proxies, load balancing, and common troubleshooting (cURL, traceroute, etc.).
  • Data & FHIR Facade: Experience working with HL7 FHIR or adapters; familiarity with FHIR resource modeling and transformations (e.g., Patient, Observation, Encounter).
  • Testing & Quality: Unit, integration, and contract testing; test automation and CI/CD pipelines (YAML-based workflows).
  • Cloud & Ops: Experience deploying and operating services in a cloud or containerized environment (Docker/Kubernetes).

U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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