Top DevOps Jobs

Design, build, and operate scalable, secure cloud infrastructure and CI/CD pipelines. Manage Kubernetes environments, implement IaC (Terraform), improve observability, troubleshoot production issues, support security/compliance, and mentor junior engineers to optimize platform reliability and cost.

Lead design, automation, and maintenance of scalable cloud infrastructure and CI/CD pipelines. Manage Kubernetes clusters, implement Infrastructure-as-Code with Terraform, improve reliability and observability, enforce security and DR practices, troubleshoot deployments, and mentor junior engineers to drive platform engineering best practices.

Design, build, and maintain infrastructure and deployment pipelines using scripting, automation, CI/CD, virtualization, and cloud platforms. Implement configuration management, build tooling, source control workflows, and operate application/web servers. Collaborate in Agile/Lean teams; role is largely onsite in specified cities.

The Senior DevOps Engineer is responsible for installing and configuring high-end servers, managing applications on IIS, and working with VMware products.

The Sr. DevOps Engineer will manage cloud infrastructure, ensuring efficient deployment and maintenance with extensive use of AWS and Cassandra.

Seeking a Senior DevOps Engineer to support software deployment, maintain version control systems, automate releases, and lead an Agile team.

As a DevOps Engineer, you'll enhance development pipelines, automate testing, and work closely with product engineering to improve update deliveries.

Lead design, development and maintenance of cross-platform C/C++/Qt build systems and toolchains. Automate workflows with Python and scripting, manage GCC/MSVC toolchains, maintain gmake/Bazel builds, integrate CI/CD (Jenkins/GitLab/Bitbucket), troubleshoot complex issues, and mentor junior engineers.

Design, build, and operate AWS-based production platform; improve CI/CD, reliability, observability, incident response, cost efficiency, and guardrails for agent-involved workflows. Drive operational analytics, testing/rollback mechanisms, human-in-loop approvals, and compliance foundations.

Design, deploy, and automate AWS cloud infrastructure using Infrastructure-as-Code (Terraform). Build and maintain CI/CD pipelines, implement monitoring (CloudWatch/Splunk), collaborate across security and engineering teams, and optimize application and infrastructure automation for development and production environments.

The DevSecOps Architect will support migrating an on-prem monolith application to a microservices architecture on AWS, leveraging tools like Terraform and Docker.

Design and maintain CI/CD pipelines, automate infrastructure provisioning with Terraform, manage cloud security, ensure 24/7 uptime for a high-TVL DeFi protocol, monitor performance, optimize costs, and collaborate with cross-functional teams to implement DevOps best practices.

Build and maintain Go backend services, manage distributed validator sets, and automate infrastructure using Kubernetes, Terraform, and AWS. Monitor performance, troubleshoot issues, and collaborate on architecture and scalable Web3 solutions.

Design and maintain CI/CD pipelines, automate infrastructure (Terraform), manage cloud security, ensure 24/7 uptime for a high-TVL DeFi protocol, monitor performance and cost, and collaborate with cross-functional teams on DevOps best practices.

Build and maintain backend services in Go, manage distributed validator sets, and automate infrastructure with Kubernetes, Terraform, and AWS. Monitor performance and security, troubleshoot issues, and collaborate on architecture and scalable Web3 solutions to improve automation and operational efficiency.

Design and maintain backend services and APIs, manage databases, develop infrastructure automation, and contribute to CI/CD pipelines while improving system performance.

The Senior DevOps Engineer is responsible for managing version control systems, scripting, programming in Java, and working with CI/CD tools.

The Senior DevOps Engineer will build secure, scalable infrastructure on AWS, manage Kubernetes platforms, and oversee FedRAMP-related tasks while ensuring compliance and operational efficiency.

Lead design, build, and operate IDEXX internal developer platforms (AWS Organizations, GitHub Enterprise, Terraform Cloud, JFrog). Write production Python, drive architecture, mentor engineers, define standards, remove technical debt, and partner with internal teams to balance developer experience with security and compliance.

Lead design, build, and automation of multi-region, multi-cloud DevOps platforms. Develop CI/CD pipelines, IaC, monitoring, capacity/load testing, and release automation. Collaborate with product engineering to ensure production readiness, drive DevOps-first practices, and improve developer tooling and operational efficiency.

Lead design and implementation of multi-region, multi-provider service platforms and CI/CD pipelines. Build automation, monitoring, IaC, and release processes; collaborate with product teams to ensure production readiness and drive DevOps-first practices.

Design, automate, and maintain Azure cloud infrastructure using Terraform. Manage Azure API Management and ActiveMQ, monitor systems with Dynatrace, lead incident resolution, and improve CI/CD pipelines with Git/Bitbucket. Mentor team members and enforce reliability, security, and automation best practices.

Design and maintain DevOps tooling, manage Kubernetes clusters, develop scripts in Python, and ensure strong SDLC discipline. Collaborate with engineering teams.

Design, implement, and maintain observability, alerting, and developer productivity systems for production and internal services. Instrument services with metrics, logs, and traces, run on-call, respond to incidents, lead reviews, and automate operational workflows to improve reliability and reduce toil.

Build and maintain CI/CD pipelines and cloud-native, containerized infrastructure (Kubernetes/Docker) for robotics and AI systems. Deploy and support workloads across cloud and edge, improve developer workflows through automation, and collaborate with robotics, ML, and platform teams to ensure reliability, observability, and scalable deployments for distributed robotic systems.