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Orchestration Jobs in Seattle, WA (NOW HIRING)

Crusoe

Senior Product Manager, Orchestration

Seattle, WA · On-site

$144K - $190K/yr

About the Role As a Senior Product Manager for Orchestration, you will own major product areas within Crusoe's Managed Orchestration portfolio. Your scope will include Kubernetes cluster lifecycle ...

IonQ

Senior Staff Orchestration Engineer

Bothell, WA · Hybrid

$61.75 - $79.75/hr

Familiarity with containerization technologies such as Docker and container orchestration platforms like Kubernetes * Experience defining extensible service or function models (e.g. plugin ...

IonQ

Senior Staff Orchestration Engineer

Bothell, WA · On-site

$200K - $287K/yr

Familiarity with containerization technologies such as Docker and container orchestration platforms like Kubernetes * Experience defining extensible service or function models (e.g. plugin ...

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All JobsOrchestration JobsOrchestration Jobs in Seattle, WA

Orchestration information

See Seattle, WA salary details

$12

$81

$106

How much do orchestration jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for orchestration in Seattle, WA is $81.46, according to ZipRecruiter salary data. Most workers in this role earn between $78.22 and $92.74 per hour, depending on experience, location, and employer.

What is orchestration in the context of IT and business operations?

Orchestration refers to the automated arrangement, coordination, and management of complex computer systems, middleware, and services. In IT, orchestration is key for streamlining workflows, especially in cloud computing and containerized environments, ensuring that different services and applications work together seamlessly. It helps businesses efficiently deploy, manage, and scale applications by automating repetitive tasks and optimizing resource utilization. Orchestration tools, such as Kubernetes or Apache Airflow, are commonly used to manage these processes. Ultimately, orchestration improves efficiency, reduces manual errors, and enhances IT agility.

How does an orchestration engineer typically collaborate with development and operations teams to streamline workflow automation?

Orchestration engineers work closely with both development (Dev) and operations (Ops) teams to design and implement automated workflows that manage complex systems and application deployments. They facilitate communication between teams by translating business requirements into technical automation scripts and ensuring seamless integration of various tools and platforms. Daily responsibilities often include troubleshooting deployment issues, optimizing automation pipelines, and maintaining documentation. This collaborative approach not only reduces manual intervention but also accelerates delivery cycles and improves system reliability.

What are the key skills and qualifications needed to thrive as an orchestration engineer, and why are they important?

To thrive as an Orchestration Engineer, you need a solid background in IT infrastructure, automation, and cloud technologies, often supported by a degree in computer science or related field. Experience with orchestration tools such as Kubernetes, Docker Swarm, Ansible, or Terraform, as well as relevant certifications (e.g., Certified Kubernetes Administrator), is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams are vital soft skills. These competencies are crucial for efficiently automating complex workflows, ensuring system reliability, and supporting scalable, agile IT environments.

What is the difference between Orchestration vs Automation?

AspectOrchestrationAutomation
DefinitionCoordination of multiple automated processes to achieve a complex goalExecution of a single task or process automatically
ScopeIntegrates various systems and workflowsFocuses on individual tasks
ComplexityHandles complex, multi-step workflowsTypically simple, repetitive tasks
ToolsOrchestration platforms (e.g., Kubernetes, Ansible Tower)Automation scripts and tools (e.g., scripts, RPA tools)

While automation involves executing specific tasks automatically, orchestration manages and coordinates multiple automated processes to streamline complex workflows across systems. Orchestration provides a higher-level view, ensuring different automated tasks work together efficiently to achieve broader objectives.

What is an orchestration job?

An orchestration job involves coordinating and managing automated workflows across multiple systems or services to ensure efficient and reliable operation. It often requires knowledge of orchestration tools like Kubernetes, Ansible, or Apache Airflow, and typically involves tasks such as deployment, scaling, and process automation.

What are popular job titles related to Orchestration jobs in Seattle, WA?

For Orchestration jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Orchestration jobs in Seattle, WA look for?

The top searched job categories for Orchestration jobs in Seattle, WA are:

Orchestration jobs near you
Infographic showing various Orchestration job openings in Seattle, WA as of August 2026, with employment types broken down into 50% Full Time, 10% Part Time, and 40% Contract. Highlights an 60% In-person, 10% Hybrid, and 30% Remote job distribution, with an average salary of $169,447 per year, or $81.5 per hour.

Virtualization & Orchestration Engineer

Jobtailor

Bellevue, WA • On-site

$150 - $210/hr

Other

Posted 6 days ago

Job description

  • Design and build virtualization infrastructure supporting GPU-intensive AI and HPC workloads.
  • Develop and operate Kubernetes-based orchestration systems for GPU cluster provisioning and workload scheduling.
  • Build automated provisioning systems that enable GPU capacity to be allocated, scaled, and reclaimed efficiently across multiple tenants.
  • Design solutions for workload placement, resource management, and cluster lifecycle operations.
  • Partner closely with hardware, networking, infrastructure, and AI platform teams to ensure orchestration systems align with real-world cluster architectures and constraints.
  • Improve the reliability, security, scalability, and operational maturity of the orchestration platform.
  • Build tooling and automation that simplifies infrastructure management and improves developer and customer experiences.
  • Contribute to architectural decisions, engineering standards, and best practices as the platform evolves.
Requirements
  • Strong hands-on experience with Kubernetes and container orchestration in production environments.
  • Experience designing, building, and operating large-scale infrastructure platforms.
  • Background with virtualization technologies supporting cloud, HPC, GPU, or distributed computing environments.
  • Understanding of GPU cluster provisioning, workload scheduling, and resource management.
  • Experience with Linux-based infrastructure and distributed systems concepts.
  • Ability to independently own complex systems from design through production operation.
  • Comfortable working in a fast-moving environment where architecture and processes are being established.
  • Experience with GPU scheduling technologies such as Slurm, Kubernetes device plugins, NVIDIA GPU Operator, or similar frameworks is preferred.
  • Experience supporting AI infrastructure, machine learning platforms, HPC environments, or GPU cloud providers is preferred.
  • Background building multi-tenant infrastructure platforms for cloud providers or large-scale compute environments is preferred.
  • Experience with infrastructure automation, Infrastructure as Code, and platform engineering practices is preferred.
  • Familiarity with high-performance networking and GPU cluster architectures is preferred.
Core Competencies

Demonstrates expertise in designing and operating Kubernetes-based orchestration systems for GPU-intensive AI and HPC workloads, with a strong focus on infrastructure automation and resource management. Proven ability to enhance the reliability and scalability of orchestration platforms while collaborating with cross-functional teams.

Highest-signal resume keywords
  • Kubernetes Orchestration
  • GPU Cluster Provisioning
  • Infrastructure Automation
  • Linux-Based Infrastructure
  • Distributed Systems
ATS Optimization KeywordsHard Skills
  • Kubernetes
  • Virtualization Technologies
  • GPU Scheduling Technologies
  • Infrastructure as Code
  • Resource Management
  • Workload Scheduling
  • Cluster Lifecycle Operations
  • AI Infrastructure Support
  • Multi-Tenant Infrastructure
  • High-Performance Networking
Soft Skills
  • Problem-Solving
  • Collaboration
  • Adaptability
Industry Keywords
  • AI Workloads
  • HPC Workloads
  • Distributed Computing
  • Infrastructure Platforms
  • Operational Maturity
Tools & Technologies
  • Slurm
  • NVIDIA GPU Operator
  • Container Orchestration
  • Cloud Providers
  • HPC Environments
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