Top DevOps Engineer Jobs

Design, provision, and operate AWS infrastructure for AI/HPC workloads across environments. Build and maintain IaC, CI/CD, observability, and scaling patterns. Troubleshoot networking, compute, storage, participate in incident response, document architecture and runbooks, and optimize cost and reliability.

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.

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.

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

Design, implement, and manage scalable AWS infrastructure (EC2, S3, RDS, VPC, EKS) using IaC (Terraform/CloudFormation), automation, containerization (Docker, Kubernetes), and CI/CD (GitHub Actions). Enforce cloud security (IAM, encryption, network segmentation), monitor and optimize performance/cost, troubleshoot infrastructure and deployment issues, and collaborate with development teams. Support VA project requirements, undergo background checks, and complete fingerprinting.

As a Platform Engineer/Dev Ops, you will expand cloud infrastructure, implement monitoring systems, manage databases, and leverage CI/CD tools, working collaboratively with various teams.

The DevOps Engineer will manage cloud infrastructure, automate deployment processes, and ensure service reliability, collaborating with development teams and troubleshooting production systems.

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

The DevOps Engineer will implement infrastructure, automate deployment processes, and ensure reliability and scalability of services while working closely with development teams.

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 AWS and Kubernetes reliability, deployments, observability, incident response, infrastructure as code, CI/CD, and compliance controls for SOC 2 and PCI-DSS. Build scalable platform foundations, AI infrastructure, and greenfield product infrastructure while improving cost efficiency, security, vendor flexibility, and deployment consistency. Participate in on-call support and partner with security and engineering teams across backend, mobile, data, ML, and AI.

Build and deploy Helm charts to Kubernetes, develop GitLab CI/CD pipelines, containerize applications, troubleshoot deployments, and design cloud-native architectures. The role supports Air Force research missions in an onsite environment and requires collaboration across varied technology stacks. Responsibilities also include researching complex technical problems independently and may involve cloud services, infrastructure as code, security tooling, event streaming, and air-gapped deployments.

Architects, automates, and maintains enterprise cloud infrastructure, CI/CD platforms, deployment pipelines, and infrastructure-as-code solutions. Manages containerized environments, monitoring, security, backups, disaster recovery, and cloud governance for highly available production systems. Collaborates with developers, architects, security, QA, and business teams in an Agile environment to improve reliability, scalability, cost efficiency, and continuous delivery. Troubleshoots complex infrastructure issues and drives operational excellence across the application lifecycle.

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.