Top DevOps Jobs in Seattle, WA

Build, manage, and scale cloud infrastructure using Terraform/IaC on AWS; automate deployment pipelines; maintain system reliability and security for a real-time data detection platform.

Loti AI seeks a DevOps engineer for decentralized infrastructure to deploy, scale, and maintain distributed systems, manage IPFS clusters, and oversee blockchain nodes.

The Lead DevOps Engineer will design scalable AWS infrastructure, manage CI/CD pipelines, oversee network security, ensure SOC 2 compliance, and mentor a diverse team.

The DevOps Engineer will design and develop infrastructure solutions for cloud services, focusing on scalability, high availability, and security while impacting healthcare outcomes.

The DevOps Engineer will evolve infrastructure, manage CI/CD pipelines, improve observability, and enhance developer productivity in a remote-first team.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

The DevOps Engineer will build infrastructure for sequencer software, manage cloud environments, and assist with CI/CD pipelines.

The DevOps Engineer will design, automate, and scale cloud-native infrastructure, manage Kubernetes clusters, implement CI/CD pipelines, and optimize Google Cloud Platform operations.

The DevOps Engineer will design, automate, and manage cloud-native infrastructure, specifically focusing on Kubernetes, CI/CD pipelines, and GCP operations.

Design, build, and maintain scalable cloud or hybrid infrastructure with automated CI/CD, monitoring, and cloud optimization to ensure 99.9% uptime. Lead migration efforts, implement monitoring and performance strategies, and collaborate with cross-functional teams to maintain platform stability.

Design, automate, and scale Azure-based infrastructure and CI/CD using IaC (Terraform/Bicep/ARM) and Azure DevOps. Build pipelines, manage AKS and containers, implement observability and security, drive reliability engineering, standardize reusable platform patterns, and mentor engineering teams on DevSecOps best practices.

Senior DevOps Engineer role requiring 6-12+ years of experience, strong C# and Azure expertise, solid problem-solving with data structures and algorithms, and excellent communication skills. Contract position based in Redmond, WA for 6+ months.

Develop and automate CI/CD pipelines and automation frameworks using Java and AWS. Build and test Java/J2EE web applications, implement infrastructure automation and shell scripts, perform test automation, work with SQL/NoSQL databases, and collaborate with global teams and clients in a retail domain environment.

Design, build and automate infrastructure and CI/CD for Java/J2EE applications on AWS. Create automation frameworks, implement test automation, write shell scripts, manage SQL/NoSQL databases, and support global delivery with strong communication and scheduling.

Develop and automate software delivery and test processes for Java-based web applications. Build/maintain automation frameworks, CI/CD pipelines, and AWS infrastructure using CLI/CloudFormation. Perform test automation, shell scripting, database work (SQL/NoSQL), and collaborate with global teams and clients in a retail domain environment.

Design, build and maintain test automation frameworks and CI/CD pipelines using .NET/C#. Implement AWS infrastructure automation (CLI/CloudFormation), script with PowerShell, work with SQL/NoSQL databases, and support retail-domain applications in a global delivery environment.

Design, build, deploy and support automated build and deployment pipelines across pre-prod and production. Maintain middleware (WebSphere, JBoss, Apache, IBM HTTP) on Unix, manage CI, version control, troubleshoot failures, improve CI speed and scalability, and document processes while coordinating with support, development, and engineering teams.

Support and automate daily build and deploy activities across pre-prod and production environments. Maintain CI/CD pipelines, manage version control (branching/merging), troubleshoot failures, compile and deploy code, improve build scalability, and document processes while communicating status to product teams and program managers.

As a DevOps Engineer II, you will build and scale a SaaS platform, manage infrastructure-as-code, develop data pipelines, and enhance team productivity while collaborating across teams.

The Lead DevOps Engineer will improve cloud infrastructure, drive DevOps best practices, mentor engineers, and ensure system reliability and performance.

Maintain and improve cloud infrastructure across multiple countries, manage Kubernetes and CI/CD, optimize performance and costs, handle monitoring and security audits, lead deployments, and mentor junior team members.

Build and maintain CI/CD pipelines and automated deployment workflows. Provision and manage AWS infrastructure using Terraform. Operate Kubernetes and containerized environments (EKS, ECS, Fargate) and tooling such as Argo Workflows. Support AI engineering platform adoption and partner with DevOps, Architecture, and Development teams to implement scalable, secure infrastructure patterns and internal developer tooling.

Design, implement, and operate scalable cloud infrastructure and IaC (Terraform, ARM/Bicep). Build CI/CD pipelines, automate deployments, secure Azure/Kubernetes environments, troubleshoot production issues, and collaborate with Engineering, Security, and Compliance to improve platform resiliency and operational maturity.

Design, implement, and maintain AWS cloud infrastructure; build CI/CD pipelines; implement IaC and container orchestration; monitor and secure systems; automate deployments; collaborate with developers; document architecture and procedures.

Design and develop internal services and deployment automation tools in Go; build and maintain GitLab CI/CD pipelines; manage Kubernetes production and pre-production environments; evolve internal deployment platform (Packman); implement IaC with Terraform and Ansible; optimize ephemeral/stage environments; improve observability with Grafana/OpenSearch/Prometheus; collaborate with engineering teams to enhance developer experience and delivery speed.