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Developer Operations Infrastructure Engineer Jobs in Seattle, WA

The AES Group

Senior DevOps Engineer

Seattle, WA · Remote

$133.10K - $170.90K/yr

Senior DevOps Engineer Location: Remote - USA The AES Group is hiring an experienced Senior DevOps ... Work on cutting-edge cloud transformation and AI/ML infrastructure projects * Opportunity to ...

Overland AI

Infrastructure Engineer

Seattle, WA

$130K - $225K/yr

Document systems, processes, and runbooks to support local and remote teams Minimum Qualifications * 5+ years in DevOps, SRE, infrastructure engineering, or systems engineering * Experience with AWS ...

Overland AI

Infrastructure Engineer

Seattle, WA · On-site

$130K - $225K/yr

Document systems, processes, and runbooks to support local and remote teams Minimum Qualifications * 5+ years in DevOps, SRE, infrastructure engineering, or systems engineering * Experience with AWS ...

Maxana

Infrastructure Engineer

Seattle, WA

$130K - $240K/yr

Develop and maintain internal tooling and automation to support engineering operations Requirements * 5+ years of infrastructure or platform engineering experience in a production environment

Maxana

Infrastructure Engineer

Seattle, WA · On-site

$130K - $240K/yr

Develop and maintain internal tooling and automation to support engineering operations Requirements * 5+ years of infrastructure or platform engineering experience in a production environment

Maxana

Infrastructure Engineer

Seattle, WA

$130K - $240K/yr

Develop and maintain internal tooling and automation to support engineering operations Requirements * 5+ years of infrastructure or platform engineering experience in a production environment

Deloitte

Azure/Databricks Infrastructure Engineer

Seattle, WA · On-site

$122.30K - $160.50K/yr

... DevOps or GitHub Actions • Supporting cloud modernization, analytics, AI, and enterprise data ... infrastructure, platform engineering, or enterprise transformation delivery • Strong hands-on ...

Lightning AI

Infrastructure Engineer (Observability)

Seattle, WA · On-site +1

$122.40K - $160.60K/yr

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer ... Collaborate with engineering, operations, and support teams to improve system transparency and ...

The AES Group

Infrastructure Engineer

Seattle, WA · Remote

$110K - $144.30K/yr

... operations with the power of cloud, data, AI, and other emerging technologies. Why Join The AES ... Infrastructure Engineer to join our growing technology team. In this role, you will be responsible ...

Reply

DevOps Engineer

Seattle, WA

$120K - $140K/yr

We are hiring a DevOps Engineer to design, automate, and scale cloud-native infrastructure supporting enterprise-grade applications. This role will own Kubernetes environments, CI/CD pipelines, and ...

Adidev Technologies Inc

DevOps Engineer

Seattle, WA

$60 - $82.25/hr

As a DevOps Engineer, you will be a key contributor to the development and operations lifecycle, owning the endtoend automation of infrastructure provisioning, CI/CD pipelines, deployments ...

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Developer Operations Infrastructure Engineer information

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How much do developer operations infrastructure engineer jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for developer operations infrastructure engineer in Seattle, WA is $71.90, according to ZipRecruiter salary data. Most workers in this role earn between $62.64 and $71.68 per hour, depending on experience, location, and employer.

What is the difference between Developer Operations Infrastructure Engineer vs DevOps Engineer?

AspectDeveloper Operations Infrastructure EngineerDevOps Engineer
CredentialsTypically requires software development and infrastructure certifications (e.g., AWS, Azure)Often holds certifications in cloud platforms, automation, and CI/CD tools
Work EnvironmentWorks closely with development and IT teams to build and maintain infrastructureCollaborates across development, operations, and QA teams to streamline deployment processes
Industry UsageCommon in tech companies focusing on scalable infrastructure and deploymentWidely used in organizations adopting DevOps practices for continuous integration and delivery

The Developer Operations Infrastructure Engineer focuses on building and maintaining infrastructure to support development workflows, often with a strong emphasis on automation and cloud services. The DevOps Engineer has a broader role, integrating development and operations to improve deployment frequency and reliability. While both roles overlap in automation and cloud skills, the Developer Operations Infrastructure Engineer is more infrastructure-centric, whereas the DevOps Engineer emphasizes process and culture transformation.

Developer Operations Infrastructure Engineer jobs near you

Senior DevOps Engineer

The AES Group

Seattle, WA • Remote

$133.10K - $170.90K/yr

Contractor

Posted 4 days ago

Job description

Job Title: Senior DevOps Engineer
Location: Remote - USA

The AES Group is hiring an experienced Senior DevOps Engineer to join our growing technology team and drive enterprise-scale cloud infrastructure modernization initiatives. This is an exciting opportunity for a highly skilled DevOps professional with expertise in Terraform, Kubernetes, Python automation, and Azure cloud technologies, including Azure Databricks, to build scalable, secure, and reliable infrastructure supporting advanced AI/ML platforms.

Why Join The AES Group?

  • Work on cutting-edge cloud transformation and AI/ML infrastructure projects
  • Opportunity to contribute to GenAI and Azure Cognitive Services environments
  • Collaborate with high-performing engineering teams on enterprise-scale initiatives
  • Hybrid work flexibility based in Seattle, WA
  • Long-term project engagement with strong career growth potential

Key Responsibilities:

  • Design, deploy, and manage scalable, secure, and reliable infrastructure solutions using Terraform.
  • Lead migration efforts from ARM templates and PowerShell-based provisioning to Terraform-based Infrastructure as Code (IaC).
  • Develop and maintain reusable IaC modules to enable version-controlled, repeatable deployments.
  • Implement, manage, and optimize Kubernetes clusters supporting containerized microservices environments.
  • Partner with development teams to deploy, scale, and troubleshoot applications in Kubernetes ecosystems.
  • Automate provisioning, deployment, and operational workflows using Python scripting.
  • Build and maintain CI/CD pipelines to streamline software delivery and release cycles.
  • Integrate infrastructure provisioning seamlessly into CI/CD workflows.
  • Design and maintain scalable infrastructure environments for AI/ML and GenAI platforms.
  • Deploy and manage Docker containerized applications orchestrated through Kubernetes.
  • Support Azure cloud-native services, including Azure Databricks, for data engineering and AI/ML workload orchestration.
  • Enable secure and efficient integration of AI/ML models into enterprise production platforms.
  • Establish monitoring, logging, and alerting systems to maintain infrastructure health and performance.
  • Implement security best practices to ensure compliance, governance, and data privacy standards.

Required Skills & Qualifications:

  • 10+ years of experience in DevOps, Infrastructure Engineering, or Cloud Platform Engineering.
  • Strong hands-on expertise with Terraform, including migration from ARM/PowerShell to Terraform.
  • Deep experience managing Kubernetes clusters and deploying containerized microservices.
  • Strong proficiency in Python scripting for automation and workflow optimization.
  • Solid experience with Docker and container orchestration technologies.
  • Hands-on experience designing and maintaining CI/CD pipelines.
  • Strong understanding of Infrastructure as Code (IaC) principles and best practices.
  • Proven experience with Microsoft Azure cloud platform services.
  • Required hands-on experience with Azure Databricks for cloud data processing and AI/ML platform integration.
  • Experience designing and supporting scalable infrastructure for AI/ML environments.
  • Knowledge of Azure Cognitive Services and GenAI project deployments is highly preferred.
  • Strong understanding of cloud security, compliance, and monitoring frameworks.
  • Excellent communication and collaboration skills in cross-functional engineering teams.

Preferred Qualifications:

  • Experience working as a platform engineer in AI/ML-driven environments.
  • Exposure to deployment automation for Azure Cognitive Services and GenAI workloads.
  • Prior involvement in enterprise cloud modernization initiatives.

Ready to make an impact? Apply now and join us on our journey!