Remote Devops Jobs

We are seeking an Engineering Operations Specialist to join our Technology team to manage Curinos’ tactical day-to-day engineering operations and how they tie into our Tech-wide strategic objectives. This includes designing and implementing process improvements, supporting data-driven decision-making, budgeting and forecasting, and facilitating communication between the Technology team and other business units.

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.

As a Staff Backend Engineer in the Developer Experience group, you’ll work cross-functionally to help us identify and improve the engineering experience across GitLab’s internal engineering teams. You'll split time between coding in Ruby and Go, designing scalable solutions, and helping every team deliver. This role will be instrumental in shaping our engineering culture across GitLab as well as shifting our culture and practices toward a cohesive Developer Experience Platform strategy.

We're seeking an experienced Senior DevOps Engineer to audit our current infrastructure and Python/Django application, provide expert recommendations, and guide the transition to a shared tenant (multi-tenant) architecture. Our existing DevOps team handles day-to-day operations, but we need your specialized expertise in high-availability, high-traffic systems to optimize for peak enrollment cycles and ensure enterprise-grade performance as we scale.

Scalable Capital was built in the cloud from day one. The services currently run on various AWS services like ECS, Fargate and Lambda and utilise a multi account strategy. The Cloud Engineering Team focuses on a reusable and modular cloud infrastructure to enable the development teams to deploy and operate services in the cloud productively and securely.

As a Cloud Platform Engineer, you will work on an engineering-focused Agile development team developing cutting-edge cloud-based DevOps solutions. You will design, develop and demonstrate software in two-week iterations as part of an Agile Release Train developing in a SAFe Program Increment. You will strive for continuous improvements in knowledge, productivity and display a pattern of continual learning.

Join a team of Senior DevOps Engineers and Cloud Architects, working on a highly visible, transformational migration project in a cutting-edge fintech environment. The team is focused on Production Readiness & Operations and designing resilient systems. The candidate is expected to embrace existing proprietary CI/CD pipeline reconfiguration (ARGO) and have experience with container orchestration (ECS, Docker).

This internship is a remote opportunity within Canada and will be for 4 months - January to April 2026. As a Build and Release Engineer Intern, you will build and maintain CI/CD tools to help engineers move faster and deliver software to millions of people. You will also instrument and evaluate our CI/CD systems to identify bottlenecks and collaborate with a team of build engineers to release products.

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.