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Remote Automation Developer Jobs in Seattle, WA (NOW HIRING)

Senior DevOps Engineer

Seattle, WA · Remote

$133.10K - $170.90K/yr

Remote - USA The AES Group is hiring an experienced Senior DevOps Engineer to join our growing ... automation, and Azure cloud technologies, including Azure Databricks, to build scalable, secure ...

SDET

Seattle, WA · On-site +1

$57 - $73.50/hr

... Remote Contract About the Role: We are seeking a highly skilled SDET to join our Master Data Management (MDM) team called PLIM. The ideal candidate will have strong expertise in test automation using ...

... software developers to ensure the delivery of high-quality applications. Requirements ... Paid comprehensive training covering Manual Testing, Automation Testing, API Testing, and CI/CD ...

Sr. DevOps Engineer

Bellevue, WA · On-site +1

$106.40K - $177.30K/yr

Problem-solving mindset with a focus on improving automation, efficiency, and reliability We ... Please review Symetra's Remote Network Minimum Requirements: As a remote-first organization ...

Front End Developer

Seattle, WA · Remote

$106.50K - $123.90K/yr

Remote - USA Experience Level: Senior-Level Let's create our future together at The AES Group ... and CI/CD automation. * Ensure cross-browser compatibility, accessibility, and mobile ...

Data Engineer

Bellevue, WA · Remote

$117.20K - $140.70K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and ... Develop Python-based data processing solutions for automation and orchestration. * Monitor ...

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Remote Automation Developer information

See Seattle, WA salary details

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How much do remote automation developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote automation developer in Seattle, WA is $59.26, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $68.12 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Automation Developer, you need expertise in programming languages (such as Python, Java, or JavaScript), a solid understanding of automation frameworks, and experience with software development best practices, often supported by a degree in computer science or related certifications. Familiarity with automation tools like Selenium, Jenkins, or UiPath, and version control systems such as Git is typically required. Strong problem-solving skills, self-motivation, and clear communication are vital soft skills for collaborating effectively in a remote environment. These skills enable efficient automation of processes, reliable delivery of projects, and seamless teamwork across distributed teams.

What are some common challenges faced by Remote Automation Developers, and how can they be addressed?

Remote Automation Developers often encounter challenges such as collaborating across different time zones, ensuring clear communication with distributed teams, and maintaining secure access to development environments. Overcoming these challenges typically involves using robust collaboration tools, establishing regular check-ins, and adhering to best practices for remote security and documentation. Building strong relationships with team members and proactively clarifying project requirements can also greatly enhance productivity and project outcomes.

What is a Remote Automation Developer?

A Remote Automation Developer is a professional who designs, develops, and maintains automated systems, scripts, or tools to streamline business processes, all while working remotely. They typically use programming languages and automation frameworks to create solutions that minimize manual intervention and improve efficiency. These developers often collaborate with teams through digital communication tools and may work across various industries, such as software development, IT operations, or business process automation.
What are the most commonly searched types of Automation Developer jobs in Seattle, WA? The most popular types of Automation Developer jobs in Seattle, WA are:
What are popular job titles related to Remote Automation Developer jobs in Seattle, WA? For Remote Automation Developer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Automation Developer jobs in Seattle, WA look for? The top searched job categories for Remote Automation Developer jobs in Seattle, WA are:

Senior DevOps Engineer

The AES Group

Seattle, WA • Remote

$133.10K - $170.90K/yr

Contractor

Posted yesterday


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!