Remote Devops Jobs • Kubernetes

We're looking for an experienced DevOps Engineer for a client project. You should have a strong background in containerization, infrastructure automation, and cloud technologies, with deep hands-on experience in Docker, Kubernetes, Terraform, and CI/CD pipelines. You'll be building and maintaining containerized systems, managing cloud infrastructure on AWS, and developing automated deployment pipelines.

We’re looking for an experienced Site Reliability Engineer who excels at building scalable, secure, and automated infrastructure. You’ll collaborate with multiple engineering teams to solve complex reliability challenges and drive continuous improvement through automation, observability, and data-driven insights.

As a Senior Infrastructure Engineer on the Infrastructure Engineering team, you’ll build infrastructure solutions to accelerate the development of Underdog’s data systems and its workflows. You'll design, build, and maintain key data infrastructure systems, accelerate developer productivity, and collaborate with engineers and data scientists to translate system requirements into scalable technical solutions.

Build infrastructure solutions to accelerate the development of Underdog’s cloud infrastructure and deployment workflows. Design, build, and maintain key cloud infrastructure systems including distributed storage, distributed compute, database, caching and delivery network infrastructure while ensuring scalability, reliability, and security. Accelerate developer productivity by building best in class tooling, infrastructure, and automation workflows.

We're hiring a Senior Engineering Manager to lead our efforts in building world-class reliability, cloud infrastructure, and operational excellence at Rula. The role owns the strategy, frameworks, pipelines, and tooling that ensure our production and non-production systems maintain high availability. You'll directly impact service reliability, minimize customer-facing incidents, and shape the operational environments where Rula services run with stability, efficiency, and resilience.

As a DevOps Engineer, you’ll play a key role in maintaining and scaling the cloud infrastructure that powers AI-driven platform. This is a long-term, hands-on engineering position focused on automation, observability, and security. You’ll operate and harden AWS environments, automate deployments using Infrastructure-as-Code, and build resilient CI/CD and monitoring workflows that ensure stability and compliance as we grow.

We’re looking for a Senior Platform Engineer to build the paved road for product teams and drive adoption of it at scale. You’ll design and operate the developer platform that powers our services, with a particular focus on expanding our Backstage portal from greenfield micro-service templating to full-fleet coverage including retro‑onboarding 100+ existing services and enabling repeatable, self‑service upgrades.

CrowdStrike is hiring a Sr. DevOps Engineer to help build and deploy automation and configuration to drive massive scale. We are looking for a highly-technical, hands-on Engineer with experience using configuration management software (Chef & Ansible) to release + manage software as well as orchestrating containerization systems such as Kubernetes. You will develop and maintain Jenkins jobs, infrastructure as code, configuration repositories and other core infrastructure services to support the CrowdStrike engineering team.

As a member of the Compute team, you'll tackle challenging infrastructure and software engineering problems, impacting millions of users worldwide by improving the availability, scalability, latency, and efficiency of Reddit’s Compute Platform. You will also automate critical aspects of the development process, share on-call responsibilities and collaborate with a team of software engineers.

Deploy and operate containerized services using orchestration frameworks to ensure scalability and resilience, automate infrastructure through Infrastructure as Code (IaC) to provide consistent and repeatable environments, and deploy and monitor workloads in cloud environments.