Remote Devops Jobs • Docker

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.

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.

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.

Expanding infrastructure and automation capabilities, we need a senior-level DevOps engineer who can build and maintain reliable, secure, and scalable systems to support continuous delivery, monitoring, and growth—while collaborating closely with engineers and product teams.

Manage and improve our growing AWS and data center infrastructures; design, implement, and maintain a CI/CD pipeline to improve developer workflows; utilize centralized monitoring and logging to improve visibility across the team; assist development teams in solving issues around scaling and bottlenecks; work with teammates to develop high-quality software, balancing security, reliability, and operational concerns.

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.

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.

We are looking for an experienced Software Engineer to contribute on our Experian Assistant for Model Risk Management product comprising of a COTS application with a complex microservice Architecture running on Kubernetes within our Ascend Platform . You will help guide innovation, streamlining deployment workflows, and enhancing team efficiency through established CI/CD pipelines and industry best practices. You will report into the Engineering Director.

As a Lead Site Reliability Engineer within the newly created ‘Product Reliability’ team, you'll be responsible for ensuring the availability, performance, and scalability of the products on our platform. Your proficiency in leading technical teams that support products serving millions of customers will ensure stability and high performance for our brands and clients. You will keep up with best practices in building products for scale.

As our ML Engineer Intern, you'll be the technical backbone powering our content platform by building ML systems that scale. You'll design scalable ML infrastructure and pipelines that handle massive media datasets and implement inference systems for content optimization.