Top DevOps Jobs

Engineer and maintain DevOps automation for High Performance Computing infrastructure. Responsibilities include Linux systems administration, scripting (Bash/Python), Java development in Linux, IaC with Ansible/Terraform, containerization (Docker/containerd), Kubernetes cluster administration on bare metal, CI/CD with GitLab CI, and Git version control.

Design, build, and operate secure, tenant-isolated cloud infrastructure and CI/CD for an AI-native multi-tenant platform. Implement observability, policy-as-code, SLAs, incident response, and automate provisioning (Terraform/Helm). Support deployment, monitoring, and secure operations for ML/agent systems at scale.

The DevOps Engineer will implement and manage CI/CD pipelines, automation tools, and support agile teams while ensuring high availability of services.

The Senior DevOps Engineer ensures uptime, availability, and performance of the BrightEdge S3 platform, maintaining cloud infrastructure and automating operations.

Design, implement, and operate scalable Kubernetes-based container solutions for on-prem and cloud. Collaborate with engineers and QA to improve CI/CD, monitoring, automation, and reliability. Containerize applications, automate deployments, and guide cross-functional teams on Kubernetes best practices.

The DevOps Engineer will automate CI/CD pipelines, configure systems, and resolve complex data and software issues while developing cloud engineering solutions.

Responsible for implementing scalable DevOps solutions on Salesforce, ensuring seamless updates from development through production, and managing continuous delivery.

The DevOps Engineer role requires skills in Hyper V, SCVMM, and Azure, along with experience in C#, .Net, SQL, and PowerShell. Responsibilities include application support and troubleshooting, plus strong communication skills. Analytical and problem-solving abilities are also essential.

The DevOps Engineer will automate deployment processes, manage AWS cloud and Kubernetes infrastructure, and ensure system reliability and scalability for federal projects.

Teravision Technologies seeks a DevOps Engineer with 4+ years of AWS experience, proficiency in Terraform, Python automation, and knowledge of containerization and Docker for remote work.

Own and improve DevOps infrastructure supporting high-traffic web products. Build infrastructure as code, manage cloud and Kubernetes environments, automate CI/CD workflows, support scripting and databases, configure CDNs, and maintain large-scale network foundations. The role also includes monitoring, observability, troubleshooting, cross-functional collaboration, and assisting with hiring, onboarding, training, and performance reviews.

Run and modernize AWS-hosted infrastructure for high-traffic Ruby APIs. Implement Terraform, Docker, and Kubernetes deployments; write and maintain well-tested Ruby/Rails/Sinatra code with RSpec and TDD/BDD; mentor distributed engineers; participate in heavy pair-programming and timezone-aligned collaboration.

The Sr DevOps Engineer will develop and integrate CI/CD pipelines using AWS services, manage container orchestration, and implement infrastructure as code.

As a Senior DevOps Software Engineer, you will automate infrastructure, manage deployment pipelines, and support development in a DoD environment while collaborating across teams.

Responsible for managing AWS services, automating deployment using DevOps practices, and ensuring server configurations and setups are effective. Requires strong technical skills in various AWS tools and scripting languages.

The job involves managing AWS services, performing server setup and configuration, using automation tools like Puppet and Terraform, and scripting in Java, Python, and shell. Jenkins CI and version control with Git are also required.

Design, deploy, and maintain physical and cloud network infrastructure for a large-scale AI data platform. Implement IaC, virtualization, container orchestration, monitoring, and security to ensure scalable, reliable operations and integrate DevOps automation with engineering teams.

This role involves designing, deploying, and maintaining a full-stack, containerized microservices architecture for a data discovery platform, collaborating with various engineering teams to implement DevOps best practices.

Own and evolve cloud and on-prem infrastructure for an enterprise AI platform: design IaC, operate Kubernetes clusters, build CI/CD for a monorepo, implement observability, drive SLOs and DR, scale GPU/ML deployments, manage security and secrets, and improve developer velocity.

The role requires expertise in Linux system administration, configuration management using Chef or Puppet, and scripting in BASH along with familiarity in Ruby or Python.

Responsible for designing and developing Tableau reports and dashboards, managing large data sets, and utilizing DevOps tools for automation and configuration management.

The Cloud Engineer/DevOps role involves automating application deployments, supporting Puppet environments, and mentoring teams on cloud automation.

The Sr. DevOps/Automation Engineer designs and develops automation for public cloud environments using Python and Puppet Enterprise. Responsibilities include modifying automation scripts, documenting solutions, and ensuring support coverage through team collaboration.

The Sr DevOps Engineer will implement and manage AWS services, automate solutions, and provide application support with a strong background in AWS.

The Tableau Developer will create and manage Tableau dashboards and reports, work with large datasets, and automate deployments using DevOps tools on AWS infrastructure.